Updated on 2024/07/18

写真a

 
HORIGUCHI,Yukio
 
Organization
Faculty of Informatics Professor
Title
Professor
External link

Degree

  • Ph.D. ( 2005.3 )

  • Master's degree ( 1999.3 )

Research Interests

  • Task Analysis

  • Machine Learning

  • Skill Analysis

  • Human-Machine Systems

  • Human-Computer Interaction

  • Shared Control

  • User Interface Design

  • Cognitive Engineering

  • Usability

  • Human Modeling

  • Human Factors

  • Cognitive Work Analysis

Research Areas

  • Informatics / Mechanics and mechatronics

  • Informatics / Robotics and intelligent system

  • Informatics / Database

  • Informatics / Human interface and interaction

  • Informatics / Intelligent informatics

  • Informatics / Soft computing

  • Humanities & Social Sciences / Cognitive science

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Education

  • Kyoto University   Graduate School of Engineering   Doctoral Program, Department of Precision Engineering

    1999.4 - 2003.3

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    Country: Japan

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  • Kyoto University   Graduate School of Engineering   Master's Program, Precision Engineering

    1997.4 - 1999.3

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    Country: Japan

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  • Kyoto University   Faculty of Engineeirng   Department of Precision Engineering

    1993.4 - 1997.3

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    Country: Japan

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Research History

  • Kansai University   Faculty of Informatics   Professor

    2020.4

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    Country:Japan

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  • University of Waterloo   Visiting Scholar

    2010.10 - 2011.9

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  • Kyoto University   Department of Mechanical Engineering and Science, Graduate School of Engineering   Assistant Professor

    2007.4 - 2020.3

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  • Kyoto University   Department of Mechanical Engineering and Science, Graduate School of Engineering   Research Associate

    2005.4 - 2007.3

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  • Kyoto University   Department of Precision Engineering, Graduate School of Engineering   Research Associate

    2003.4 - 2005.3

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  • JSPS Research Fellowship for Young Scientists DC

    2001.4 - 2003.3

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  • Kyoto University   Graduate School of Engineering Department of Mechanical Engineering and Science

    2020.4 - 2021.3

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    Country:Japan

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Professional Memberships

  • The Japan Association of College English Teachers

    2021.4 - Present

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  • The Society of Instrument and Control Engineers

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  • The Institute of Systems, Control and Information Engineers

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  • IEEE

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  • Human Interface Society

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  • Japan Society of Fuzzy Theory and Intelligent Informatics

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  • The Iron and Steel Institute of Japan

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Committee Memberships

  • 第40回ファジィシステムシンポジウム   実行委員  

    2024.2 - Present   

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    Committee type:Academic society

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  • ヒューマンインタフェースシンポジウム2024   実行委員  

    2023.10 - Present   

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  • Japan Society for Fuzzy Theory and Intelligent Informatics   Council Member  

    2023.6 - Present   

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  • Human Interface Society   Councilor  

    2022.3 - Present   

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  • ヒューマンインタフェースシンポジウム2022   実行委員  

    2021.10 - 2022.9   

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  • Japan Society for Fuzzy Theory and Intelligent Informatics   Board Member  

    2021.6 - 2023.6   

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  • 第35回ファジィシステムシンポジウム   実行委員  

    2019.2 - 2019.9   

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  • ヒューマンインタフェースシンポジウム2019   実行委員  

    2018.10 - 2019.9   

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  • 第34回ファジィシステムシンポジウム   実行委員  

    2018.3 - 2018.9   

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  • Japan Society for Fuzzy Theory and Intelligent Informatics   Council Member  

    2017.6 - 2021.6   

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  • 日本知能情報ファジィ学会   第15期監事(事業担当)  

    2017.6 - 2019.6   

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  • 第33回ファジィシステムシンポジウム   実行委員  

    2017.3 - 2017.9   

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  • The Society of Instrument and Control Engineers   Associate Editor  

    2017.1 - 2020.1   

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  • 第32回ファジィシステムシンポジウム   実行委員  

    2016.3 - 2016.9   

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  • Japanese Society of Fuzzy Theory and Intelligent Informatics   Chair of Committee for Technical Activities  

    2015.6 - 2017.6   

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  • 日本知能情報ファジィ学会   第14期理事(事業担当)  

    2015.6 - 2017.6   

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  • システム制御情報学会   編集委員  

    2015.5 - 2017.5   

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  • 計測自動制御学会システム・情報部門ヒューマンマシンシステム部会   主査  

    2014.1 - 2016.12   

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  • 日本知能情報ファジィ学会   事業委員  

    2013.6 - Present   

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  • The Society of Instrument and Control Engineers   Vice Chair of Technical Committee on Human-Machine Systems  

    2013.1 - 2014.12   

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  • 計測自動制御学会システム・情報部門ヒューマンマシンシステム部会   副主査  

    2013.1 - 2014.12   

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  • 第29回ファジィシステムシンポジウム   財務委員長  

    2013.1 - 2013.9   

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  • Japanese Society of Fuzzy Theory and Intelligent Informatics   Auditor of Kansai Chapter  

    2011.4 - 2013.3   

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  • Japanese Society of Fuzzy Theory and Intelligent Informatics   Treasurer of Kansai Chapter  

    2009.4 - 2011.3   

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  •   Proofreader of Editorial Board  

    2008.6 - 2010.5   

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  • システム制御情報学会   編集委員会校正担当委員  

    2008.5 - 2010.5   

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  • 第24回ファジィシステムシンポジウム   実行委員  

    2007.10 - 2008.9   

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  •   Member of Committee on Special Interest Groups  

    2007.3 - 2009.3   

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  • 計測自動制御学会知能工学部会   幹事  

    2007.1 - 2010.12   

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  •   Committee Member of Kansai Chapter  

    2007.1 - 2010.1   

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  • 計測自動制御学会関西支部   庶務幹事  

    2007.1 - 2010.1   

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  • The Society of Instrument and Control Engineers   Secretary of Technical Committee on Intelligent Systems  

    2007 - 2010   

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  • 日本知能情報ファジィ学会関西支部   運営委員  

    2006.3 - Present   

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  • ヒューマンインタフェースシンポジウム2004   実行委員  

    2003.10 - 2004.9   

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Papers

  • Counterfactual inference to predict causal knowledge graph for relational transfer learning by assimilating expert knowledge: Relational feature transfer learning algorithm Reviewed International journal

    Jiarui Li, Yukio Horiguchi, Tetsuo Sawaragi

    Advanced Engineering Informatics   51   101516 - 101516   2022.1

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    Transfer learning (TL) is a machine learning (ML) method in which knowledge is transferred from the existing models of related problems to the model for solving the problem at hand. Relational TL enables the ML models to transfer the relationship networks from one domain to another. However, it has two critical issues. One is determining the proper way of extracting and expressing relationships among data features in the source domain such that the relationships can be transferred to the target domain. The other is how to do the transfer procedure. Knowledge graphs (KGs) are knowledge bases that use data and logic to graph-structured information; they are helpful tools for dealing with the first issue. The proposed relational feature transfer learning algorithm (RF-TL) embodies an extended structural equation modelling (SEM) as a method for constructing KGs. Additionally, in fields such as medicine, economics, and law related to people’s lives and property safety and security, the knowledge of domain experts is a gold standard. This paper introduces the causal analysis and counterfactual inference in the TL domain that directs the transfer procedure. Different from traditional feature-based TL algorithms like transfer component analysis (TCA) and CORelation Alignment (CORAL), RF-TL not only considers relations between feature items but also utilizes causality knowledge, enabling it to perform well in practical cases. The algorithm was tested on two different healthcare-related datasets — sleep apnea questionnaire study data and COVID-19 case data on ICU admission — and compared its performance with TCA and CORAL. The experimental results show that RF-TL can generate better transferred models that give more accurate predictions with fewer input features.

    DOI: 10.1016/j.aei.2021.101516

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  • Introduce structural equation modelling to machine learning problems for building an explainable and persuasive model Reviewed International journal

    Jiarui Li, Tetsuo Sawaragi, Yukio Horiguchi

    SICE Journal of Control, Measurement, and System Integration   14 ( 2 )   67 - 79   2021.6

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Informa UK Limited  

    With the development of artificial intelligence technologies, the high accuracy of machine learning methods has become a non-unique standard. People are beginning to be more concerned about the understandability between humans and machines. The interference procedure of the machines is hoped to accord with human thinking as much as possible, which has spawned the recent and ongoing demands for developing explainable models. The present study proposes a new explainable and persuasive model for machine learning problems by introducing Structural Equation Modelling into the picture. Six parts make up the model, from data collection to model evaluation. The model can be used for data analysis, machine learning, and causal analysis. The proposed model is also transparent and can be interpreted from design to application. A practical experiment shows its effectiveness in a healthcare problem.

    DOI: 10.1080/18824889.2021.1894040

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  • Cluster Size-Constrained Fuzzy C-Means with Density Center Searching Reviewed International journal

    Jiarui Li, Yukio Horiguchi, Tetsuo Sawaragi

    International Journal of Fuzzy Logic and Intelligent Systems   20 ( 4 )   346 - 357   2020.12

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Korean Institute of Intelligent Systems  

    Fuzzy C-means (FCM) has a definite limitation when partitioning a dataset into clusters with varying sizes and densities because it ignores the scale difference in different dimensions of input data objects. To alleviate this cluster size insensitivity, we propose a wrapper algorithm for FCM by introducing cluster size as a priori information and limiting the search direction on the basis of density benchmarks (CSCD-FCM). This method is divided into two stages. The first stage adjusts the position of each cluster while maintaining its shape, and the second stage changes the shape of each cluster while maintaining its center. Both steps modify fuzzy partitions generated by FCM-like soft clustering methods by optimizing a “size-constrained” objective function. Numerical and practical experiments with unbalanced cluster size settings demonstrate the effectiveness of this method for extracting actual cluster structures, as well as achieving the desired cluster populations.

    DOI: 10.5391/ijfis.2020.20.4.346

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  • An Automated Usability Evaluation Method Based on Structural Compatibility of Information Resource Distribution and Screen Transition Design with User Tasks Reviewed

    Yukinari Deguchi, Yuki Moriya, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    The Transactions of Human Interface Society   22 ( 2 )   125 - 136   2020.5

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Human Interface Society  

    This paper proposes an automated expert review method to estimate the usability of information terminals where users use different operation screens depending on their progress of work. The proposed method evaluates interface designs from two points of view. One is a distributed cognition view looking at the compatibility of information resources distribution and examines whether individual screens provide just enough amount of knowledge and information for the user task. The other concerns the compatibility of transition structure and examines whether screen transitions are consistent with the flows of work to be performed by the user. Two different experiments were conducted to test the proposed method using information terminals whose design differed in their information resources distribution and screen transition structure. The experimental results demonstrate that the proposed method can generate usability scores close to the participant users’ feeling of use when the weight for the two compatibility aspects are adjusted appropriately.

    DOI: 10.11184/his.22.2_125

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  • User Interface Supporting Motion Point Teaching in Off-line Industrial Robot Programming: Development and Evaluation of Orthographic Views and Pointing-based Operation Features Reviewed

    Soichiro Ishikawa, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    The Transactions of Human Interface Society   22 ( 2 )   89 - 100   2020.5

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Human Interface Society  

    The complexity of robot programming is an obstructive factor for the introduction of industrial robots to production sites. Human operators have to teach individual motion segments one-by-one to the robots to t their behavior in the work environment, which is one of the most tedious and time-consuming tasks in robot programming. This study elicites user interface requirements to streamline the motion-point teaching by the hierarchical task analysis of off-line robot programming, and proposes UI functions that can meet these requirements. The proposed UI functions consist of the four-view display feature that generates orthographic views suitable for teaching motion points according to the operator’s selection of the reference plane and the pointing-based robot operation feature. As a result of the verification experiment conducted using a Peg-in-Hole assembly task, the four-view display feature demonstrated its effectiveness in making the motion-point teaching much more efficient.

    DOI: 10.11184/his.22.2_89

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  • Methodological study of safety analysis for dynamic alteration of work procedures by uniting functional resonance analysis and activity theory Reviewed

    Keisuke Fukuda, Tetsuo Sawaragi, Yukio Horiguchi

    The journal of Reliability Engineering Association of Japan   41 ( 4 )   249 - 262   2019.7

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

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  • Safety Analysis for Resilient Complex Socio-Technical Systems with an Extended Functional Resonance Analysis Method Reviewed

    Takayuki Hirose, Tetsuo Sawaragi, Yukio Horiguchi, Hiroaki Nakanishi

    International Journal of Astronautics and Aeronautical Engineering   Volume 2, Issue 2 ( 2 )   2:012   2017.10

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Vibgyor ePress  

    The safety of complex Socio-Technical Systems highly depends on the non-linear interaction of variabilities between task performances in human, machines and working environments and proper management of those is essential to ensure the safety. However, the practical means to ensure the safety of those systems have not been established yet, and this is mainly due to the gap existing between the theory and the reality as well as to the lack of means for visualizing the potential risks. In this paper, we propose an extended method of FRAM: Functional Resonance Analysis Method and construct a simulator that enables to visualize the potential risks. Then, an example of interactive analysis using the simulator is presented, which enables us to visualize the degrees of resilience of an existing work procedure in operation in facing with potential variabilities. In the end, how to utilize the proposed method for the establishment of the resilient systems from the point of view of the design of operation procedures is presented.

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  • Autonomous Error Recovery of Industrial Robots Using Hierarchical Planning System Reviewed

    Satoru MATSUOKA, Tetsuo SAWARAGI, Yukio HORIGUCHI, Hiroaki NAKANISHI

    Transactions of the Society of Instrument and Control Engineers   53 ( 1 )   80 - 89   2017.1

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Society of Instrument and Control Engineers  

    In recent automated production lines, it is important for industrial robots to recover from unexpected errors autonomously without intervention by human operators. In this paper, a hierarchical planning system that realizes autonomous error recovery of robots is proposed and demonstrated, and its effectiveness in cooperative work is verified. In order to realize a variety of flexible error recovery functions, a partial order planning scheme as well as a re-planning capability utilizing semantic information on the production environment are proposed.

    DOI: 10.9746/sicetr.53.80

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  • Analysis of Train Driver's Visual Perceptual Skills Using Markov Cluster Algorithm Reviewed

    HORIGUCHI Yukio, SUZUKI Takaya, SUZUKI Takayuki, SAWARAGI Tetsuo, NAKANISHI Hiroaki, TAKIMOTO Tomoharu

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   28 ( 3 )   598 - 607   2016.6

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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Society for Fuzzy Theory and Intelligent Informatics  

    The present paper investigates eye-gaze data of professional train drivers with different years of experience using Markov Cluster Algorithm (MCL) in order to extract characteristic eye-gaze patterns fostering a better understanding of their visual perceptual skills. MCL distilled a basic eye-gaze pattern in their visual behavior indicating that all the drivers would repetitively move their gaze ahead soon after looking at another area of interest, but they were found different in the "strength" of the pattern depending on their level of expertise. It was also clarified that inexperienced drivers made frequent deviations from the basic eye-gaze pattern in particular segments of the route where they had to deal with multiple tasks in parallel imposing higher cognitive loads of them.

    DOI: 10.3156/jsoft.28.598

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  • Application of Functional Resonance Analysis Method to Evaluate Risks in Train Maneuvering Reviewed

    Keisuke Fukuda, Tetsuo Sawaragi, Yukio Horiguchi, Hiroaki Nakanishi

    Transactions of the Society of Instrument and Control Engineers   52 ( 2 )   68 - 76   2016.2

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Society of Instrument and Control Engineers  

    In this study, a novel method of safety analysis for safety management in train maneuvering is proposed based upon a systemic accident model, in which a train maneuvering activity by a train driver is regarded as a system of interrelated functions to be attained. Our method is based upon an original idea of Functional Resonance Analysis Method (FRAM) that was proposed by Hollnagel (2004), and our proposal attempts to identify how an unsafe event did happen as a result of interactions of deviated functions. For this purpose, at first a representation scheme for structuring interrelationships among train drivers' task components is provided. These interrelationships are derived from sources of drivers' instruction manuals, rules, regulations, etc. and are represented as interrelated networks of functions. Then, for a particular unsafe event that was actually happened in the past, our scheme is applied to represent the underlying maneuvering task and it is shown how the normal task procedures turned out to be an unsafe event through the propagations of primitive and local deviations towards the other part of the task. In this way, our method can replay a scenario of how the unsafe event did happen, and in addition to that, is able to detect latent hazards that did not actually happen but might happen when some conditions underlying at the event were to change from the original case.

    DOI: 10.9746/sicetr.52.68

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    Other Link: https://jlc.jst.go.jp/DN/JLC/20020705983?from=CiNii

  • Comparison of Train Drivers' Eye-Gaze Movement Patterns Using Sequence Alignment Reviewed

    Yukio Horiguchi, Tetsuo Sawaragi, Hiroaki Nakanishi, Tetsuya Nakamura, Tomoharu Takimoto, Nishimoto Hidefumi

    SICE Journal of Control, Measurement, and System Integration   8 ( 2 )   114 - 121   2015.3

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:The Society of Instrument and Control Engineers  

    Train driver's attentive behavior can be considered to reflect differences in his/her level of expertise. In this paper, the authors investigate train drivers' eye-gaze movements to identify characteristic attentive patterns that can distinguish different levels of driver expertise. Eye-gaze data were collected from measurement experiments in which six active train drivers participated. Classified into experienced and younger drivers groups, the data sets are analyzed using "sequence alignment", which helps us to extract partial temporal sequences of areas of interest that are common in each group of drivers. Resultant sequences are compared with each other to find features that could distinguish the groups in their visual behavior.

    DOI: 10.9746/jcmsi.8.114

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  • Train Driver Support Interface Based on Visualization of Running Time Constraints Reviewed

    Hiroki Kudo, Yukio Horiguchi, Tetsuo Sawaragi, Hiroaki Nakanishi

    Transactions of the Society of Instrument and Control Engineers   51 ( 3 )   171 - 180   2015.3

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.9746/sicetr.51.171

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  • Towards understanding the development of driver's mental model of a Lane Departure Warning system while driving Reviewed

    Tabinda Aziz, Yukio Horiguchi, Tetsuo Sawaragi

    JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING   8 ( 3 )   JAMDSM0032 - 83   2014

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:JAPAN SOC MECHANICAL ENGINEERS  

    Like all man-made artifacts, Advanced Driver Assistance Systems have certain limitations beyond which they cannot function properly or work at all. The users in the driving domain have diverse backgrounds and it is likely that many of them start interacting with the technology without having gained detailed knowledge, such as by reading user manuals. This study explores whether drivers with only minimal knowledge of the Lane Departure Warning system can recognize the system's speed threshold and update themselves about this in a dynamic driving environment. Since drivers are not always single-mindedly focused on driving so participants were divided into two groups. Group 1 subjects performed only the driving task, while Group 2 was prompted to carry out a secondary task in addition to the primary driving task. Our investigation allowed us to estimate the effects of drivers' minimal mental model of the system working due to lack of sufficient knowledge concerning its capacities upon their 1) learning from experience and 2) situation awareness. It was assumed that the demands of multitasking would impair the driver's ability to observe the system's state and delay the mental model improvement process, compared to a setting in which driving was the only task. Experiment results using a driving simulator have been presented. The results revealed that the number of the drivers, who did not become aware of the operating condition of the LDW system, was quite high for both groups regardless of the nature of their tasks. It had been deduced that the users' preconceptions and expectations due to their limited knowledge about the capacities of the technology, could make them rely on the system to alert them in different situations even when the system was not operating. Hence, these factors can not only adversely affect the social benefits associated with ADAS, but also the acceptance and usability of these systems.

    DOI: 10.1299/jamdsm.2014jamdsm0032

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  • Design and Evaluation of Menu Interfaces Based on Natural Language Processing Techniques

    15 ( 3 )   213 - 218   2013.8

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    Language:Japanese  

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  • Hierarchical Menu Design Based on Patterns of Functions Reviewed

    15 ( 1 )   73 - 83   2013

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    Authorship:Lead author, Corresponding author   Language:Japanese  

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  • Configural Display to Support Position Teaching to Industrial Robot Reviewed

    Yukio Horiguchi, Kohei Kurono, Hiroaki Nakanishi, Tetsuo Sawaragi

    Transactions of the Society of Instrument and Control Engineers   47 ( 12 )   656 - 665   2011.12

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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.9746/sicetr.47.656

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  • Extraction of coordinative structures of motions by segmentation using singular spectrum transformation Reviewed

    Hiroaki Nakanishi, Sayaka Kanata, Hirofumi Hattori, Tetsuo Sawaragi, Yukio Horiguchi

    Journal of Advanced Computational Intelligence and Intelligent Informatics   15 ( 8 )   1019 - 1029   2011

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Fuji Technology Press  

    In this article, we focus on the coordinative structure of human behavior, which contributes to specifying dynamics from time-series kinematic data. We propose a method for the extraction of dynamical interaction from time-series data of human behavior using Singular Spectrum Transformation. Using the proposed method, human behavior can be described as a letter string whose letters indicate where the motion segmentation is detected. We also discuss a method of extracting coordinative structures by constructing multiple alignments from the timing structure of extracted motion change points. To confirm the effectivity of the proposed method, the results of motion analysis are shown.

    DOI: 10.20965/jaciii.2011.p1019

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  • A Knowledge-Based System for Sharing and Reusing Tacit Knowledge in Robotic Manufacturing Reviewed

    Lei Wang, Yajie Tian, Tetsuo Sawaragi, Yukio Horiguchi

    International Journal of Knowledge and Systems Science   1 ( 4 )   61 - 78   2010.10

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:IGI Publishing  

    DOI: 10.4018/jkss.2010100104

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  • Acquisition of Human Expertise in Robotic Assembly Reviewed

    Lei Wang, Tetsuo Sawaragi, Yajie Tian, Yukio Horiguchi

    SICE Journal of Control, Measurement, and System Integration   3 ( 4 )   299 - 308   2010.7

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:The Society of Instrument and Control Engineers  

    DOI: 10.9746/jcmsi.3.299

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  • Environment Adaptive Heading Control for an Autonomous Unmanned Helicopter Reviewed

    Hiroaki Nakanishi, Sayaka Kanata, Tetsuo Sawaragi, Yukio Horiguchi

    Transactions of the Society of Instrument and Control Engineers   46 ( 1 )   8 - 15   2010.1

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Society of Instrument and Control Engineers  

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  • Effects of Similarity in Action-Effect Configuration on Mode Awareness Reviewed

    Yukio Horiguchi, Ryuichi Fukuju, Tetsuo Sawaragi

    Transactions of the Society of Instrument and Control Engineers   45 ( 11 )   546 - 554   2009.11

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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Society of Instrument and Control Engineers  

    Automated systems are often structured into modes for providing enhanced capabilities to perform complex tasks, but they also increase the need for and difficulty of maintaining mode awareness, which may induce mode errors and eventually lead to automation surprises. Salient feedback on the mode status is necessary for the user to maintain mode awareness, and it should be carefully designed not to interfere in the user's primary task to be achieved in collaboration with the systems. For the purpose of developing a practical theory for effective and robust supports for maintaining mode awareness, this study focuses on <i>action-effect relations</i> as an intuitive human-machine communication channel. An action-effect relation is defined as an association of a user action with some observable effects on the system behavior, and it is expected to provide additional valuable information on the internal state of the system with no focal visual attention required. From this perspective, one hypothesis is made that different modes with a same or similar configuration of action-effect relations should be easily mixed up with one another. This paper tests this hypothesis through a driving simulator experiment where subject drivers were examined on their awareness of the operating mode status of ACC (Adaptive Cruise Control) during driving with the mode-rich automated system. Another experiment examines the contribution of differentiated configuration of action-effect relations to enhancing mode awareness.

    DOI: 10.9746/sicetr.45.546

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  • Development of Smart User Interface to Enhance User Performance in Adjusting Automation -Extraction and Externalization of Functional Semantics of Automated Weighment- Reviewed

    Yukio Horiguchi, Ryoji Asakura, Tetsuo Sawaragi, Yutaka Tamai, Kazufumi Naito, Nobuki Hashiguchi, Hiroe Konishi

    The Transactions of Human Interface Society   10 ( 3 )   329 - 343   2008.8

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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)  

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  • Analysis and Proposal of Hierarchical Menu Design from the Perspective of Communicative Breakdown Reviewed

    Yukio Horiguchi, Yuji Kuroda, Hiroaki Nakanishi, Tetsuo Sawaragi, Tsuyoshi Inoue, Satoshi Matsuura

    The Transactions of Human Interface Society   10 ( 3 )   315 - 327   2008.8

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  • Modeling ecological expert: Comparative analysis of human skill development with fuzzy controller Reviewed

    T Sawaragi, Y Horiguchi, M Ishizuka

    SOFT COMPUTING   7 ( 3 )   140 - 147   2003.1

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    The main difficulties of the skill transfer from human to machine exist in the fact that human skills are based upon two types of knowledge: one is the fundamental content knowledge needed to perform complex tasks, and the other one is knowledge of the process, by which those tasks should be executed. Distinguishing between those two types of knowledge, we present a comparative analysis between a fuzzy controller and a human expert. Regarding a human proficient expert as an ecological expert after Kirlik, we demonstrate that skillful control lies not only inside of the skill-performer's brain, but in the actor-environment system. In order to investigate into the relations between the human judgments and the environmental information, we adopt Brunswik's Lens Model to quantify both types of knowledge from the performance data. By analyzing how the ways of an operator's interacting with the task environment change and how the cues in the environment utilized by him/her alter, we formalize his/her control-skill improving process. We investigate these in comparison with the conventional fuzzy controller. We conclude in the aspects in which the human expert is superior to the fuzzy controller.

    DOI: 10.1007/s00500-002-0201-y

    Web of Science

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  • Design of Mixed-Initiative Interactions Between Human and Robot to Realize Shared Autonomies in Teleoperation Environment Reviewed

    Yukio Horiguchi, Tetsuo Sawaragi

    Transactions of the Society of Instrument and Control Engineers   38 ( 12 )   1097 - 1106   2002.12

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    DOI: 10.9746/sicetr1965.38.1097

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  • Analyzing Task Morphologies for Naturalistic Task Sharing between Human Operator and Robot Reviewed

    Yukio Horiguchi, Tetsuo Sawaragi

    Transactions of the Institute of Systems, Control and Information Engineers   13 ( 12 )   537 - 544   2000.12

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    This paper presents a method for detecting invariant task structures that are commonly shared by the human operator and the autonomous robot in a VR-based (i.e., virtual reality based) mobile robot teleoperation system. We call such a property of having common structures as <I>task-morphology</I>, and we discuss how this property functions well to establish the naturalistic task sharing between the two who have different perception-acting capabilities. For this purpose, we analyze their continuous task performance and segment them into some qualitatively different phases using Adaptive Resonance Theory (ART).

    DOI: 10.5687/iscie.13.12_537

    CiNii Books

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  • Ecological interface enabling human-embodied cognition in mobile robot teleoperation Reviewed

    Tetsuo Sawaragi, Yukio Horiguchi

    intelligence   11 ( 3 )   20 - 32   2000.9

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    DOI: 10.1145/350752.350761

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  • Analysis of Task Morphologies for Networking Behavioral Skills via Virtual Reality Reviewed

    Tetsuo Sawaragi, Yukio Horiguchi

    ACM Journal of Intelligence: New Visions of AI in Practice   11 ( 3 )   20 - 32   2000

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  • Respiratory Motion Curve Clustering and Pattern Extraction for Abnormal Sleep Epoch Detection

    Yukio Horiguchi, Jing Li

    Proceedings of the 34th Soft-Science Workshop   51 - 54   2024.3

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    In polysomnography, sleep technologists visually analyze a time series of respiratory motions, i.e., a respiratory curve, to detect abnormal respiratory events such as apneas and hypopneas. We investigate time-series processing to automate this analysis process. The present study examines the performance of abnormal sleep epoch detection models that utilize information on the occurrence frequencies of respiratory motion patterns. Respiratory motion patterns are obtained by dividing the respiratory curve at change points and then clustering the resulting partial curves. We compare three clustering methods—k-means(Euclidean), k-means(DTW), and k-Shape—by an experimental study evaluating the performance of sleep epoch classification models created using logistic regression. The experimental results suggest that the epoch classification model using the k-Shape performs the best in detecting abnormal epochs, indicating the extraction of effective respiratory motion patterns.

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  • Do Psychological Effects of Lying Show Up in Changes in Pupil Diameter?

    Hibiki Miyano, Yukio Horiguchi

    13 - 16   2023.12

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    In this paper, we hypothesize that, if lying accompanies some psychological disturbance, the pupil diameter at that time would be larger than otherwise. We conducted an empirical study measuring the pupil response of respondents in an experimental task that simulated the Concealed Information Test. As a result of the experiment, although statistical significance was not recognized, it was suggested that the amount of pupil dilation in response to critical stimulus questions, where there is a need to intentionally answer falsely, was larger than that for non-critical stimulus questions.

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  • A Study on Anomaly Detection from Respiratory Motion Curves Based on Time-series Clustering Method

    Jing Li, Yukio Horiguchi

    Proceedings of the 39th Fuzzy System Symposium   73 - 78   2023.9

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    In polysomnography, a sleep technologist visually analyzes a time series of respiratory movements, i.e., the respiratory curve, measured with a RIP belt or other equipment to record abnormal respiratory events such as apneas and hypopneas. The present study aims to develop a method for detecting peculiar patterns in the respiratory curve to automate this analysis process. Our approach here is to divide the respiratory curve into partial time series using Singular Spectrum Transformation, then classify them based on the similarity of the time series patterns to identify essential features that characterize abnormal respiratory motions. This paper presents our investigation into applying the respiratory motion patterns obtained by a time series clustering method to detect abnormal respirations.

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  • Harmonized Fitness: Research Results on Health Smart Network with Ensemble of Exercise and Music

    Isao Hayashi, Michiyuki Hirokane, Yukio Horiguchi, Masataka Tokuhisa, Yazdanbakhsh Arash

    Proceedings of the 39th Fuzzy System Symposium   248 - 250   2023.9

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  • Visualization and Analysis of Differences in Walking Motions with Gaussian Process Dynamical Model

    Yukio Horiguchi, Kotaro Tokuhisa, Daigo Hiruma

    Proceedings of th 39th Fuzzy System Symposium   261 - 265   2023.9

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    Locomotive syndrome is the decline in mobility function due to aging-related deterioration of the locomotor system, which increases the risk of falling. This study aims to analyze and quantify behavioral components associated with falling risk by measuring daily walking motions. We propose a walking motion analysis method based on the Gaussian Process Dynamics Model (GPDM) to detect changes in body usage. This method compresses gait motion data into a low-dimensional latent variable model using GPDM and visualizes the differences in body movements caused by behavioral conditions through the model's output.

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  • A Comparison of Time-series Clustering Methods for Anomaly Detection from Respiratory Motion Curves

    Yukio Horiguchi, Jing Li

    Proceedings of the 50th SICE Symposium on Intelligent Systems   151 - 155   2023.3

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    In polysomnography, sleep lab technicians visually analyze respiratory motion time series, i.e., respiratory curves, measured with a RIP belt or other equipment to record abnormal respiratory events such as apneas and hypopneas. This study aims to develop a method to detect peculiar patterns in respiratory curves to automate this analysis process. The approach of the proposed method is to divide a respiratory curve into partial time series using Singular Spectrum Transformation, then classify them based on the similarity of the time-series patterns and identify the parts that represent abnormal respiratory motions. In this paper, we compare four time-series clustering methods of k-means(Euclidean), k-means(DTW), k-means(Soft-DTW), and k-Shape for the classification process of respiratory curve segments. The experimental results suggest that classifying respiratory curve segments requires time-series distance measures thatallow for differences in period and phase but not in scale.

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  • Ecological Interface Design for Shared Control of Tandem Mills (Part 2)

    Yukio Horiguchi

    Current Advances in Materials and Processes: Report of the ISIJ Meeting   35   343 - 346   2022.9

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  • Characterizing Differences in Walking Motions with Conditional Gaussian Process Dynamical Model

    Yukio Horiguchi, Daigo Hiruma, Kotaro Tokuhisa

    Proceedings of the 38th Fuzzy System Symposium   728 - 732   2022.9

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    As motor function improves or declines, the way to control the body changes even for the same class of actions. To investigate what parts of the body movements characterize such changes, it is practical to summarize a high-dimensional time series of body movements into a low-dimensional time series by using the information on the coordinated behavior across different body parts. Significant differences in the summarized motion series should likely originate from characteristic differences in body control. In this study, we apply a conditional Gaussian Process Dynamic model to walking motions and propose a method to analyze the characteristics of body motions based on the dynamics of latent variables derived from a high-dimensional body movement time series.

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  • Harmonized Fitness: Introduction of Research Topics on Health Smart Network with Ensemble of Exercise and Music

    Isao Hayashi, Michiyuki Hirokane, Yukio Horiguchi, Masataka Tokumaru, Arash Yazdanbakhsh

    Proceedings of the 38th Fuzzy System Symposium   634 - 635   2022.9

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    Recently, the Cabinet Office is advocating a concept of "Super City" that realize new lifestyles and businesses for fundamentally changing the state of society by AI. The authors have established a research unit of "Health Smart Network" at Research Institute for Socionetwork Strategies (RISS), Kansai University as a research base to meet these social demands. Specically, the purpose of this research unit is to make health promotion services smarted with "eHealth + AI", create new social communication, and contribute to extending healthy life expectancy and sustaining healthy life. In this presentation, we will outline the concept of the research unit of "Health Smart Network" and introduce various research topics on the theme of smart health promotion for the progress of future research.

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  • Extraction and Analysis of English Learners’ Eye-Gaze Patterns in Reading Using Change Point Detection Algorithm

    Yukio Horiguchi, Haruna Kawai, Mikako Nishikawa, Hiroaki Nakanishi, Tetsuo Sawaragi

    Proceedings of Human Interface Symposium 2022   201 - 205   2022.8

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    In order to gain insight into the cognitive processes that characterize the proficiency level of English as a Second Language (L2), this study experimented with measuring the eye-gaze point of L2 learners at different proficiency levels while reading English text. We applied the Singular Spectral Transformation, a change-point detection algorithm, and clustering method to the eye-gaze point time series to extract the characteristic patterns of eye-gaze movements. The analysis results suggest that the occurrence rate of particular eye-gaze patterns depends on the learners’ proficiency level.

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  • Sleep Apnea Detection Based on Respiratory Curve Segmentation by Singular Spectrum Transformation

    Yukio Horiguchi, Hiroto Takahashi, Toru Murase, Hiroaki Nakanishi, Tetsuo Sawaragi

    Proceedings of the Fuzzy System Symposium   37th   113 - 117   2021.9

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    This paper proposes a data analysis method for detecting abnormal breathing events during sleep from respiratory curves. The proposed method segments a respiration time series using Singular Spectral Transformations and classifies resulting partial respiratory curves based on their features consisting of autoregressive coefficients and respiratory amplitude ratios. Applying it to a polysomnography dataset confirmed that the proposed method could extract temporal patterns characteristic of respiratory abnormalities such as apnea and hypopnea.

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  • Harmonized Fitness: Health Smart Network with Ensemble of Exercise and Music

    Isao Hayashi, Michiyuki Hirokane, Yukio Horiguchi, Masataka Tokumaru, Arash Yazdanbakhsh

    Proceedings of the Fuzzy System Symposium   37th   42 - 43   2021.9

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    Recently, due to the widespread effects of Covid-19 infection, social communication, such as person-to-person, person-to-society, or social connection, is being diluted. As one solution to the problems, it is expected to create new social communication utilizing advanced technologies such as ICT and AI. On the other hand, the Cabinet Office is advocating a concept of "Super City" that realize new lifestyles and businesses for fundamentally changing the state of society by AI. The authors have established a research unit of "Health Smart Network" at Research Institute for Socionetwork Strategies (RISS), Kansai University as a research base to meet these social demands. Speci cally, the purpose of this research unit is to make health promotion services smarted with "eHealth + AI", create new social communication, and contribute to extending healthy life expectancy and sustaining healthy life. In this presentation, we will outline the concept of the research unit of "Health Smart Network" and introduce various researchs on the theme of smart health promotion for the progress of future research.

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  • A Multi-Modal Topic Model for Extraction of Health Condition Types from Specific Health Guidance Documents

    Masaki Takeda, Yukio Horiguchi, Tatsuyoshi Ikenoue, Yukari Yamada, Shingo Fukuma, Tetsuo Sawaragi, Hiroaki Nakanishi

    Proceedings of the 2020 SICE System and Information Division Symposium   654 - 659   2020.11

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  • Off-policy Deep Reinforcement Learning with Distribution Matching Imitation

    Ryota Hirobuchi, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    Proceedings of the 2020 SICE System and Information Division Symposium   423 - 428   2020.11

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  • Evaluating Legibility of Intent-Conveying Handover Motion with Gaussian Process Dynamical Model

    Soichiro Ishikawa, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi, Kenta Fujimoto, Tatsuya Nagatani, Marina Kousaka

    Proceedings of the 2020 SICE System and Information Division Symposium   660 - 665   2020.11

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  • Data Dimensionality Reduction by Introducing Structural Equation Modeling to Machine Learning Problems Reviewed

    Jarui Li, Yukio Horiguchi, Tetsuo Sawaragi

    Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan   826 - 831   2020.9

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    Structural Equation Modeling (SEM) is a statistical analysis technique for fitting networks of constructs to data. The strength of extracting latent factors and estimating causal relations among them makes it accessible to analyze the structure of social problems, such as those around the economy, healthcare, and ecology. The present paper introduces SEM to the machine learning field for reducing the number of data dimensions. Too large dimensionality of the input data increases the computational load to build machine learning models. The proposed method utilizes SEM to sift variables and sort out relations between factors. The results show that the proposed method is able to identify the least number of data dimensions for machine learning-based prediction models to achieve the same or even higher accuracy as the prediction models trained with the full dimensions do.

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  • Ecological Interface Design for Shared Control of Tandem Mills

    Yukio Horiguchi

    Current Advances in Materials and Processes: Report of the ISIJ Meeting   33   438 - 441   2020.9

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  • Extraction of Pupil Diameter Variation Patterns with Cognitive Load Using Locality Preserving Projection

    Hideki Hotta, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    Proceedings of the 64th Annual Conference of the Institute of Systems, Control and Information Engineers   64   41 - 46   2020.5

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  • Visualizing Proficient Tacit Knowledge for Centering Operation of the Steel Plate Leveler Shear Line

    Naruki Yasue, Tetsuo Sawaragi, Hiroaki Nakanishi, Yukio Horiguchi, Makoto Kawai, Toshiya Yahara

    Proceedings of the 64th Annual Conference of the Institute of Systems, Control and Information Engineers   64   411 - 418   2020.5

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  • Design of productive socio-technical systems by human-system co-creation for super-smart society

    Tetsuo Sawaragi, Yukio Horiguchi, Takayuki Hirose

    IFAC-PapersOnLine   53   10101 - 10108   2020

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    The realization of the 'super-smart society' of "Society 5.0"is being promulgated as the 5th Science and Technology Basic Plan by the Japanese Government. This article summarizes what is needed to promote new science and technology for achieving a super-smart society. Especially, to accelerate the development of "control for societal issues,"three aspects of "Feedback,""Ring"and "Harmony,"each of which corresponds to the means, the object and the goal of the future control-related science and technology, respectively, are to be stressed. That is, the object of science and technology is to target society or community, not single persons and individuals, and we have to understand complex feedback structures made up of many interactions as essential means to attain the goal of harmonizing technology, human and environment. For this purpose, innovations will necessitate elaborating the SoS (System of Systems), mutually connected systems, including human-in-the-loop systems. It would be significant to model and understand the dynamical complexity of such an SoS and to develop a technique for guaranteeing their resilience. This article presents overviews of some of the author group's works that are related to the above three aspects.

    DOI: 10.1016/j.ifacol.2020.12.2734

    Scopus

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  • A Wrapper Algorithm for Fuzzy Cluster Membership Modification Based on Size Constraints Reviewed

    Jiarui Li, Yukio Horiguchi, Tetsuo Sawaragi

    Proceedings of the 20th International Symposium on Advanced Intelligent Systems and 2019 International Conference on Biometrics and Kansei Engineering   122 - 130   2019.12

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  • 初心者に対する新旧対照法の技能習熟支援の効果

    上西 良知, 中西 弘明, 堀口 由貴男, 椹木 哲夫

    計測自動制御学会システム・情報部門学術講演会2018 講演論文集   147 - 150   2019.11

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  • ユーザ選好構造の推定に効果的な選択肢構成を評価するアイテムセット情報量

    奈木野 一希, 堀口 由貴男, 中西 弘明, 椹木 哲夫

    計測自動制御学会システム・情報部門学術講演会2018 講演論文集   69 - 70   2019.11

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  • 隠れマルコフモデルによる注視領域系列からの操作意図推定

    田中 秀平, 堀口 由貴男, 中西 弘明, 椹木 哲夫

    計測自動制御学会システム・情報部門学術講演会2018 講演論文集   85 - 88   2019.11

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  • Usability Estimation Based on Structural Compatibilities of Information Resource Distribution and Screen Transition Design with User Task

    Yukinari Deguchi, Yuki Moriya, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    357 - 363   2019.9

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  • Behavior Policy Learning beyond Demonstrations by Shifting from Imitating Others to Self-imitation

    Ryota Hirobuchi, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    29th   A2-1   2019.9

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  • Measurement of Driver’s Mental Workload in Partial Autonomous Driving Reviewed

    Weiya Chen, Tetsuo Sawaragi, Yukio Horiguchi

    IFAC Proceedings Volumes   52 ( 19 )   347 - 352   2019.9

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  • A Labeled Latent Dirichlet Allocation for Knowledge Extraction from Specific Health Guidance Documents

    Masashi Takeda, Yukio Horiguchi, Tatsuyoshi Ikenoue, Yukari Yamada, Shingo Fukuma, Hiroaki Nakanishi, Tetsuo Sawaragi

    35th   688 - 693   2019.8

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  • Orthographic Views and Pointing-based Operation Features to Streamline Motion Point Teaching in Off-line Industrial Robot Programming

    Soichiro Ishikawa, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    625 - 630   2019.8

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  • Simulating Visual Attention of Human Driver in Different Task Engagement Modes by Combination of Moving Object Attractiveness Map and Saliency Map

    Yukio Horiguchi, Tadahiro Takazawa, Tetsuo Sawaragi, Hiroaki Nakanishi

    35th   88 - 92   2019.8

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  • Extraction of Respiratory Motion Features from Sleeping Body Pressure Distribution Time Series by Generalized Morphological Component Analysis

    Hiroto Takahashi, Yukio Horiguchi, Toru Murase, Tetsuo Sawaragi, Hiroaki Nakanishi, Shintaro Chiba, Seiji Nishino

    35th   529 - 534   2019.8

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  • Automatic Sleep Staging from Cardio-Respiratory Signals Using Convolutional Recurrent Neural Network with Conditional Random Fields

    Naoto Shimakoshi, Yukio Horiguchi, Jarui Li, Hiroaki Nakanishi, Tetsuo Sawaragi

    62   1278 - 1281   2019.5

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  • Dynamic inversion attitude controller for unmanned helicopter

    Hidaka Asai, Hiroaki Nakanishi, Yukio Horiguchi, Tetsuo Sawaragi

    D2-4   2019.1

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  • Refining Fuzzy c-Means Membership Functions to Assimilate A Priori Knowledge of Cluster Sizes Reviewed

    Jiarui Li, Yukio Horiguchi, Tetsuo Sawaragi

    Proceedings of 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems   654 - 659   2018.12

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  • カーナビユーザの選好構造の推定を効率化する経路選択肢構成法の検討

    奈木野 一希, 堀口 由貴男, 椹木 哲夫, 中西 弘明

    計測自動制御学会システム・情報部門学術講演会2018 講演論文集   SS03-03   2018.10

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  • 観察視点の運動方向が移動体の誘目性に及ぼす影響

    高沢 忠浩, 堀口 由貴男, 椹木 哲夫, 中西 弘明

    計測自動制御学会システム・情報部門学術講演会2018 講演論文集   SS03-10   2018.10

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  • Unsupervised Sentiment Analysis to Extract Topics and Their Semantic Orientations from Natural Language Text

    Yukio Horiguchi, Takayuki Sudo, Tetsuo Sawaragi, Hiroaki Nakanishi

    34th   217 - 221   2018.9

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    DOI: 10.14864/fss.34.0_217

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  • Saliency Map Incorporating Attractiveness of Moving Object to Estimate Human Driver's Potential Gaze Area

    Yukio HORIGUCHI, Akihiro HIRASHIMA, Hiroaki NAKANISHI, Tetsuo SAWARAGI

    34th   265 - 267   2018.9

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    DOI: 10.14864/fss.34.0_265

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  • Estimation of Sleeping Heart Rate from Body Pressure Distribution Time Series by Generalized Morphological Component Analysis

    Hiroto Takahashi, Yukio Horiguchi, Tetsuo Sawaragi, Hiroaki Nakanishi, Toru Murase, Seiji Nishino

    34th   429 - 434   2018.9

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    DOI: 10.14864/fss.34.0_429

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  • Analysis of Latent Structures in Area-of-Interest Sequences to Extract Plant Operation Skills

    Yukio Horiguchi

    CAMP-ISIJ   31   444 - 447   2018.9

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  • Effects of Sound Modulation to Make Data Soni cation Tolerant to Masking Noise

    Tomohiro Mizuhashi, Yukio Horiguchi, Tetsuo Sawaragi, Hiroaki Nakanishi

    176 - 181   2018.9

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  • Study on Sonification Method for Parallel Processing of Visual Information in Multi-task Condition

    Keita Teshima, Yukio Horiguchi, Tetsuo Sawaragi, Hiroaki Nakanishi

    182 - 187   2018.9

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  • Numerical Safety Analysis of Complex Supply-Chain Systems Integrating Functional Resonance Analysis Method and Cellular Automaton Reviewed

    Takayuki Hirose, Tetsuo Sawaragi, Yukio Horiguchi

    The 12th FRAMily meeting/workshop, June 11th - 13th 2018 Cardiff University, Wales, UK.   2018.6

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  • Numerical Analysis of Production Supply Chains Affected by Variabilities with Functional Resonance Analysis Method

    62th   322-2   2018.5

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  • Double-Looped Safety Analysis for Organizational Accidents Combining Activity Theory and Functional Resonance Analysis Methods and its Application to Railway Incidents Reviewed

    Keisuke Fukuda, Tetsuo Sawaragi, Yukio Horiguchi

    Proceedings of 3rd International Workshop on Functional Modelling for Design and Operation of Engineering Systems   26 - 29   2018.5

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  • Numerical Simulation of Complex Supply-Chain Systems with an Extended Model of Functional Resonance Analysis Method Reviewed

    Takayuki Hirose, Tetsuo Sawaragi, Yukio Horiguchi

    Proceedings of 3rd International Workshop on Functional Modelling for Design and Operation of Engineering Systems   39 - 42   2018.5

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  • Analysis of Industrial Robot Programming Environments Based on Distributed Information Resources Perspective and Software Design Process Model

    Yuki Moriya, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi, Hideto Iwamoto

    18th   1845 - 1848   2017.12

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  • 自動走行からの運転権限委譲時におけるドライバの状況認識に関する基礎的調査

    高沢 忠浩, 堀口 由貴男, 中西 弘明, 椹木 哲夫

    計測自動制御学会システム・情報部門学術講演会2017 講演論文集   559 - 562   2017.11

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  • 睡眠時の体圧分布時系列からの呼吸数と心拍数の推定における測定点選択

    平井 良暉, 堀口 由貴男, 椹木 哲夫, 中西 弘明, 村瀬 亨, 西野 精治

    計測自動制御学会システム・情報部門学術講演会2017 講演論文集   588 - 590   2017.11

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  • 不快情動喚起がもたらす運筆技能変化の検証

    中西 弘明, 齋梧 等, 堀口 由貴男, 椹木 哲夫

    計測自動制御学会システム・情報部門学術講演会2017 講演論文集   597 - 602   2017.11

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  • トピックモデルを用いた評判分析における否定表現処理の検討

    須藤 敬之, 堀口 由貴男, 椹木 哲夫, 中西 弘明

    計測自動制御学会システム・情報部門学術講演会2017 講演論文集   69 - 73   2017.11

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  • 加算合成による2次元データ可聴化法の検討―位置決めタスクを用いたパラメータマッピングの比較評価―

    堀口 由貴男, 新田 一樹, 椹木 哲夫, 中西 弘明

    計測自動制御学会システム・情報部門学術講演会2017 講演論文集   167 - 169   2017.11

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  • Extraction of Driver’s Regions of Interest Using Saliency Map with Optical Flow Features

    Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    Proceedings of the Fuzzy System Symposium   33th   553 - 558   2017.9

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    DOI: 10.14864/fss.33.0_553

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  • Estimation of Respiratory and Heart Rates Based on Frequency Analysis of Body Pressure Distribution During Sleep

    Yoshiki Hirai, Yukio Horiguchi, Tetsuo Sawaragi, Hiroaki Nakanishi, Toru Murase, Seiji Nishino

    Proceedings of the Fuzzy System Symposium   33th   181 - 184   2017.9

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    DOI: 10.14864/fss.33.0_181

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  • Automatic sleep staging based on heart rate variability using recurrent neural network

    Naoto Shimakoshi, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    Proceedings of the Fuzzy System Symposium   33th   349 - 354   2017.9

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    DOI: 10.14864/fss.33.0_349

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  • User Simulation to Inspect Menu Hierarchy Design Using Information Scent Model Reviewed

    Yukio Horiguchi, Naoki Kojima, Tetsuo Sawaragi, Hiroaki Nakanishi

    Proceedings of Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems   Paper ID: 266   2017.6

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  • Monitoring of respiratory cycles utilizing sensors on sleeping mat Reviewed

    Douglas E. Dow, Yukio Horiguchi, Yoshiki Hirai, Isao Hayashi

    ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)   3   2017

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    Sleep apnea and other sleeping disorders impair health and quality of life. Polysomnography is the primary method for diagnosis, but involves cost and utilization of medical resources, which limit access for potential patients. The clinical environment and sensors of polysomnography hinder typical sleep patterns in many individuals, thus degrading the analysis. Sensors suitable for at-home monitoring of sleep have recently become available. At-home monitoring of sleep may improve diagnosis due to increased familiarity for sleeping and ability for multiple sleep sessions, as well as lowering the cost. However, more robust algorithms would be needed to partially compensate for the less controlled conditions and sensor systems. A mat with a grid of force sensors has become available. This study was developing a state machine algorithm to analyze the activity at multiple force sensors of a mat while the subject was lying in supine position on the mat and undertaking natural, rhythmic respiration. The algorithm monitored the subset of active sensors to detect potential respiratory cycles. The similarity of the timing of the detected cycles between different sensors was used to determine the overall pattern of respiratory activity for the subject. Reliable detection of timing for respiratory cycles would be useful for detection of sleep apnea events.

    DOI: 10.1115/IMECE2017-72240

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  • Human Detection from Infrared Thermal Image Using Convolutional Neural Network

    32   87 - 90   2016.8

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  • Analysis of Team Situation Awareness Using Serious Game and Constructive Model-Based Simulation Reviewed

    Tetsuo Sawaragi, Kohei Fujii, Yukio Horiguchi, Hiroaki Nakanishi

    IFAC PAPERSONLINE   49 ( 19 )   537 - 542   2016

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    In this study, analysis of team situation awareness using a serious game of supply chain management for steel production is provided. By tracing the development of the performances of the game made by two different teams, a comparative analysis is done with respect to team situation awareness shared within the team. Especially, we focus into the individual players mental models that may evolve and grow as they accumulate a number of game sessions. From the acquired protocols of players during the sessions, players temporal mental models of situation awareness are traced, then the progress of team situation awareness among the players are derived. Through a comparative analysis of the two different teams with respect to their shared team situation awareness, we discuss about the relationships between the maturity of the teams and performance scores attained by the teams. Finally, a simulation model for generating such multiple players behaviors within a variety of teams is proposed. This is based upon a descriptive decision model of Garbage Can Model, and findings discovered during the gaming sessions are verified and generalized through a model-based constructive approach. (C) 2016, IFAC (International Federation of Automatic Control) Hosting Elsevier Ltd. All rights reseirved.

    DOI: 10.1016/j.ifacol.2016.10.617

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  • Safety Analysis of Aviation Flight-Deck Procedures Using Systemic Accident Model Reviewed

    Takayuki Hirose, Tetsuo Sawaragi, Yukio Horiguchi

    IFAC PAPERSONLINE   49 ( 19 )   19 - 24   2016

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    Analyzing the feasibility of procedures is important for ensuring safety when using systems that feature human operations and highly developed automation. This is certainly the case with flight-deck procedures due to their complexity, which sometimes leads to deviation from standard operation procedures (SOPs) and other serious outcomes (e.g., air crash accidents). To analyze the feasibility of procedures, we adopt the functional resonance analysis method (FRAM) (Hollganel, 2004) to examine the safety management of flight-deck procedures. However, FRAM is essentially a theoretic method, and there are currently no specific approaches or supportive tools to bridge the gap between theory and practice. In this paper, we propose an adaptation of the cognitive reliability and error analysis method (CREAM) (Hollnagel (1998)) that we call Fuzzy CREAM for systematic and quantitative FRAM analysis. We applied the proposed method to an actual air crash accident that occurred near Cali Airport, Colombia in 1995 and conclude that the accident was due to deviation from SOPs. On the basis of our analysis, we show that FRAM can identify potential hazardous paths that may lead to an accident. We also propose a new method using FRAM for pre-analysis of the safety of designed procedures. (C) 2016, IFAC (International Federation Control) Hosting By Elsevier Ltd. All rights reserverd.

    DOI: 10.1016/j.ifaco1.2016.10.455

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  • Extraction and Investigation of Dominant Eye-gaze Pattern in Train Driver's Visual Behavior Using Markov Cluster Algorithm Reviewed

    Yukio Horiguchi, Takaya Suzuki, Tetsuo Sawaragi, Hiroaki Nakanishi, Tomoharu Takimoto

    2016 JOINT 8TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 17TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS)   578 - 581   2016

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    In the present study, dominant eye-gaze patterns in professional train drivers' visual behavior are investigated using the Markov Cluster (MCL) algorithm. Applying the MCL algorithm results in a common gaze pattern showing a sort of perception tactic the drivers usually follow. The drivers repetitively move their gaze ahead soon after looking at somewhere else, independently of their years of experience. They are, however, found different in that experienced drivers can consistently follow the tactic while inexperienced drivers cannot. Time variation in the number of attentive pattern deviations demonstrates that, as well as the inexperienced drivers made higher frequency and larger fluctuations of pattern deviation, there were several particular segments in the route in which intensive pattern deviations arose in common. Inexperienced drivers would make intensive pattern deviations in such route segments that may have higher requirements of their cognitive resources.

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  • Effectiveness of Choosing Dissonant Combination of Tones for Multivariate Data Sonification Reviewed

    Yukio Horiguchi, Moriyu Nakashima, Hiroaki Nakanishi, Tetsuo Sawaragi

    Human Interface and the Management of Information: Information, Design and Interaction, Pt I   9734   25 - 33   2016

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    In the present paper, additive syntheses of two tones are examined in order to look into what data-to-sound mapping design is better to acoustically communicate varying quantities of a multivariate system. The research focus is placed on the effectiveness of mappings for listeners to discriminate one variable component of sonified data from another. Dyads of pitches are tested through a couple of experiments where a special attention is paid to the "dissonance" of two tones. The first experiment investigates its effects on the perception of two static tones presented simultaneously. The second experiment investigates the effectiveness of choosing dissonant pitch combinations to sonify two quantities of a system being controlled manually. Experimental results demonstrate that the dissonance of tones can improve the perception of changes in individual variates out of a synthesized sound but that the frequency interval between two tones has stronger effects in dynamic situations.

    DOI: 10.1007/978-3-319-40349-6_3

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  • Hierarchical Planning for Error Recovery in Automated Industrial Robotic Systems Reviewed

    Satoru Matsuoka, Tetsuo Sawaragi, Yukio Horiguchi, Hiroaki Nakanishi

    2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)   1406 - 1410   2016

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    In recent automated production lines, industrial robots are required to recover from unexpected errors autonomously. In this paper, a hierarchical planning system that realizes autonomous error recovery of robots is proposed with some virtually demonstrated results. In order to realize a variety of flexible error recovery functions, a partial order planning scheme as well as a "deliberate" re-planning capability based on semantic information on the production equipment and/or workpieces are proposed. Its effectiveness in cooperative work simulations of multiple robotic manipulators is verified.

    DOI: 10.1109/SMC.2016.7844433

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  • Extracting Train Driver's Eye-Gaze Patterns Using Graph Clustering Reviewed

    Yukio Horiguchi, Takaya Suzuki, Tetsuo Sawaragi, Hiroaki Nakanishi, Tomoharu Takimoto

    IFAC PAPERSONLINE   49 ( 19 )   621 - 626   2016

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    The present paper investigates train drivers' eye-gaze data to find important features to explain behavioral differences between experienced and inexperienced drivers. The obtained eye-gaze data. contain too complex transition structure to find any meaningful patterns that might be common across or differentiate. drivers. The Markov Cluster Algorithm, which is an unsupervised algorithm for graph clustering, is therefore utilized to divide such a structure into clusters that represent constituent eye-gaze patterns of frequent occurrence. As a result, a common eye-gaze pattern was identified to represent a perception tactic that drivers would repetitively move their gaze ahead soon after looking at other specific areas. Comparing cluster Structures extracted with different clustering parameter settings clarified that all of the drivers implement this tactic more or less, but that they arc different in that the experienced drivers can consistently follow it while the inexperienced drivers can not. (C) 2016, IFAC (International Federation Control) Hosting By Elsevier Ltd. All rights reserverd.

    DOI: 10.1016/j.ifacol.2016.10.633

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  • Applying Systemic Accident Model to Learn from Near-Miss Incidents of Train Maneuvering and Operation Reviewed

    Keisuke Fukuda, Tetsuo Sawaragi, Yukio Horiguchi, Hiroaki Nakanishi

    IFAC PAPERSONLINE   49 ( 19 )   543 - 548   2016

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    This study proposes a novel method for safety management in train operation and maneuvering based upon Hollnagels functional resonance analysis method (FRAM), which assumes that components of a system interact mutually and resonantly. According to the original FRAM, the general functions of train drivers and conductors tasks are defined, and the normal procedure of a common case is represented. Our method first attempts to replay how fluctuations of some of the tasks propagate through the entire system. Then we examine whether a countermeasure found by replaying is valid under various situations. In this way, we demonstrate that our method is able to detect latent hazards of the system as well as to identify how the system is influenced by various external and internal changes. (C) 2016, IFAC (International Federation of Automatic Control) Hosting Elsevier Ltd. All rights reseirved.

    DOI: 10.1016/j.ifacol.2016.10.619

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  • Comparative Study on Linear and Non-Linear Safety Analyses for Train Operation and Maneuvering Reviewed

    FUKUDA Keisuke, SAWARAGI Tetsuo, HORIGUCHI Yukio, NAKANISHI Hiroaki

    Proceedings of STSS/ISSNP 2015   77 - 86   2015.8

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  • Visualizing Running Time Constraint for Driver Adaptation to Punctual Train Operation Reviewed

    HORIGUCHI Yukio, KUDO Hiroki, SAWARAGI Tetsuo, NAKANISHI Hiroaki

    Proceedings of STSS/ISSNP 2015   135 - 140   2015.8

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  • 記号過程に基づく多モード機械におけるユーザモデル変容分析

    NAGAMI YUKI, SAWARAGI TETSUO, HORIGUCHI YUKIO, NAKANISHI HIROAKI

    システム制御情報学会研究発表講演会講演論文集   59th   ROMBUNNO.153-1   2015.5

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  • 組立ロボットのエラーリカバリーのための半順序性を活用した階層型プランニング

    MATSUOKA SATORU, SAWARAGI TETSUO, HORIGUCHI YUKIO, NAKANISHI HIROAKI

    システム制御情報学会研究発表講演会講演論文集   59th   ROMBUNNO.152-4   2015.5

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  • Development of a Practical Procedure to Tune Force-based Control of Peg-In-Hole Assembly Using Parameter Effect Analysis

    HORIGUCHI Yukio, GOTO Ayumu, NAKANISHI Hiroaki, SAWARAGI Tetsuo, SHIRATSUCHI Koji, NODA Akio

    Proceedings of the JSME Conference on Robotics and Mechatronics   2015   2P1-W09(1) - 2P1-W09(4)   2015.5

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  • Analysis of Train Driver's Eye-Gaze Movement Patterns Using Markov Cluster Algorithm

    Horiguchi Yukio, Suzuki Takaya, Sawaragi Tetsuo, Nakanishi Hiroaki, Takimoto Tomoharu, Uesugi Takamasa

    Proceedings of the Fuzzy System Symposium   31   574 - 579   2015

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    The present paper investigates train drivers' eye-gaze movements to find characteristic attentive patterns that can distinguish different levels of driver expertise. Eye-gaze data were collected from early-morning and nighttime observation studies in which six active train drivers participated. The acquired eye-gaze data were processed with Markov Cluster Algorithm which generates composites of Area-of-Interest (AoI) clusters, whose structure characterizes individual drivers' attentive behavior. Resultant structures are compared with one another to specify characteristic transition patterns that have a small number of hubs with different strengths within AoI networks according to the driver's level of expertise and the driving situation.

    DOI: 10.14864/fss.31.0_574

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  • つまり条件指標への影響度分析に基づく産業用ロボット力覚制御パラメータの調整手順導出

    後藤歩, 堀口由貴男, 中西弘明, 椹木哲夫, 白土浩司

    第15回計測自動制御学会システムインテグレーション部門講演会講演論文集   1680 - 1684   2014.12

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  • Analysis of Train Drivers' Eye-Gaze Movement Patterns Using Sequence Alignment Reviewed

    HORIGUCHI Yukio, SAWARAGI Tetsuo, NAKANISHI Hiroaki, NAKAMURA Tetsuya, TAKIMOTO Tomoharu, NISHIMOTO Hidefumi

    Proceedings of the SICE Annual Conference 2014   2037 - 2040   2014.9

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  • 運転支援システムの動作条件におけるドライバー認識の差異分析

    NAGAMI YUKI, SAWARAGI TETSUO, HORIGUCHI YUKIO, NAKANISHI HIROAKI

    システム制御情報学会研究発表講演会講演論文集   58th   ROMBUNNO.114-1   2014.5

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  • 大規模事故対応における組織間コミュニケーション構造の分析

    FUJII KOHEI, HORIGUCHI YUKIO, NAKANISHI HIROAKI, SAWARAGI TETSUO

    システム制御情報学会研究発表講演会講演論文集   58th   ROMBUNNO.346-3   2014.5

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  • 機能共鳴分析手法を用いた鉄道運転操縦におけるゆらぎ耐性の事前評価

    FUKUDA KEISUKE, SAWARAGI TETSUO, HORIGUCHI YUKIO, NAKANISHI HIROAKI

    システム制御情報学会研究発表講演会講演論文集   58th   ROMBUNNO.346-2   2014.5

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  • 機能スキーマを用いたメニュー選択履歴からのユーザ目的の推定

    KOJIMA NAOKI, HORIGUCHI YUKIO, SAWARAGI TETSUO, NAKANISHI HIROAKI

    システム制御情報学会研究発表講演会講演論文集   58th   ROMBUNNO.224-4   2014.5

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  • 配列アライメントを用いた列車運転士の注視行動パターン抽出

    堀口由貴男, 椹木哲夫, 中西弘明, 中村哲也, 瀧本友晴, 西本嗣史

    計測自動制御学会システム・情報部門学術講演会2014 講演論文集   273 - 276   2014

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  • 初心者−熟練者間の動作の差異抽出とそれに基づく動作教示

    中西弘明, 堀口由貴男, 椹木哲夫

    計測自動制御学会システム・情報部門学術講演会2014 講演論文集   2014

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  • 非負値スペクトル解析と電力消費傾向分析への応用

    谷口智紀, 中西弘明, 椹木哲夫, 堀口由貴男

    計測自動制御学会システム・情報部門学術講演会2014 講演論文集   2014

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  • DEMATEL法を用いた大規模事故対応における組織間コミュニケーションの分析

    藤井浩平, 堀口由貴男, 中西弘明, 椹木哲夫

    計測自動制御学会システム・情報部門学術講演会2014 講演論文集   2014

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  • Knowledge-Intensive Teaching Assistance System for Industrial Robots Using Case-Based Reasoning and Explanation-Based Learning Reviewed

    Guanfeng Sun, Tetsuo Sawaragi, Yukio Horiguchi, Hiroaki Nakanishi

    IFAC PAPERSONLINE   47 ( 3 )   4535 - 4540   2014

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    This paper presents a novel human-system collaborative robot-programming platform, where case-based reasoning (CBR) and explanation-based learning (EBL) are integrated together. CBR takes advantage of its unique CBR cycle to achieve the knowledge acquisition and reuse in the form of case, realizing efficient robot programming with the support of experienced human experts. EBL optimizes the rule structure in the knowledge base through learning in retrieving speedup rules in order to accelerate the case adaptation process. Feasibility of this proposal is verified via a number of experiments that allow the system to output both schemata for generalized robot programming tasks whose calculation rules are adaptive enough so that it can be applied to novel task inputs. Moreover, it is shown that our system is adaptive to the increase of the cases processed and be able to tackle with the learning utility problem.

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  • Extraction of Characteristic Attentive Patterns from Train Drivers' Eye-Gaze Data Using Sequence Alignment

    Horiguchi Yukio, Sawaragi Tetsuo, Nakanishi Hiroaki, Nakamura Tetsuya, Takimoto Tomoharu, Nishimoto Hidefumi

    Proceedings of the Fuzzy System Symposium   30   674 - 679   2014

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    Train driver's attentive behavior can be considered to reflect differences in his/her level of expertise. In this paper, we investigate train drivers' eye-gaze movements to identify characteristic attentive patterns that can distinguish different levels of driver expertise. Eye-gaze data were collected from observation studies in which six active train drivers, three younger and three experienced, participated. The acquired eye-gaze data were processed with Sequence Alignment, resulting in partial time sequences of gazed objects that are common in each group of drivers. We compare those sequences with each other to find characteristic patterns differentiating the driver groups in their attentive behavior.

    DOI: 10.14864/fss.30.0_674

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  • Extracting Train Driver's Perception Strategies Using Interpretive Structural Modeling Reviewed

    Yukio Horiguchi, Takayuki Suzuki, Tetsuo Sawaragi, Hiroaki Nakanishi, Tetsuya Nakamura, Michinori Muneshige, Hidefumi Nishimoto, Tomoharu Takimoto

    2014 JOINT 7TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 15TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS)   1158 - 1163   2014

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    In this study, we applied the methodology of Interpretive Structural Modeling (ISM) in order to extract eye-gaze movement patterns characteristic of experienced train drivers in their visual attentive behavior. Application of ISM to eye-gaze data generates multilevel structural models that represent dominant transition patterns hidden in complex eye-gaze movements. The extracted structural models demonstrate that, as a basic perception strategy, the drivers repetitively moved their gaze ahead soon after looking at some other specific area. What differentiates the experienced and younger drivers is that the former group of drivers can consistently follow this basic perception strategy during driving while the latter can not. The experienced drivers can balance their limited attentional resources between vigilance to the external environment and other operational requirements, distributing their attention effectively and efficiently among various areas of interest.

    DOI: 10.1109/SCIS-ISIS.2014.7044709

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  • Menu Hierarchy Generation Based on Syntactic Dependency Structures in Item Descriptions Reviewed

    Yukio Horiguchi, Shinsu An, Tetsuo Sawaragi, Hiroaki Nakanishi

    HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION: INFORMATION AND KNOWLEDGE DESIGN AND EVALUATION, PT I   8521 ( Part 1 )   157 - 166   2014

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    The present paper proposes a procedural design method which makes use of dependency structures underlying menu item descriptions in order to generate well-structured and easily-learned menu hierarchies. A dependency structure captures syntactic relations among conceptual units that constitute a natural language description of what function the corresponding menu item stands for. The proposed method classifies computerized system functions after dependency structure prototypes and then serializes variable elements to be specified in each function class after phrase structure analysis. Its clear and consistent policy provides generated menu systems with high communicability to users. The effectiveness of the method is empirically investigated.

    DOI: 10.1007/978-3-319-07731-4_16

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  • Knowledge-intensive teaching assistance system for industrial robots using case-based reasoning and explanation-based learning

    Guanfeng Sun, Tetsuo Sawaragi, Yukio Horiguchi, Hiroaki Nakanishi

    IFAC Proceedings Volumes (IFAC-PapersOnline)   19   4535 - 4540   2014

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    This paper presents a novel human-system collaborative robot-programming platform, where case-based reasoning (CBR) and explanation-based learning (EBL) are integrated together. CBR takes advantage of its unique CBR cycle to achieve the knowledge acquisition and reuse in the form of case, realizing efficient robot programming with the support of experienced human experts. EBL optimizes the rule structure in the knowledge base through learning in retrieving speedup rules in order to accelerate the case adaptation process. Feasibility of this proposal is verified via a number of experiments that allow the system to output both schemata for generalized robot programming tasks whose calculation rules are adaptive enough so that it can be applied to novel task inputs. Moreover, it is shown that our system is adaptive to the increase of the cases processed and be able to tackle with the learning utility problem.

    DOI: 10.3182/20140824-6-za-1003.01492

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  • Role of Users Mental Models in Interacting with ADAS and its Safety Implications Reviewed

    AZIZ Tabinda, HORIGUCHI Yukio, SAWARAGI Tetsuo

    Proceedings of the SICE Annual Conference 2013   1174 - 1175   2013.9

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  • 構造化モデリング法を用いた列車運転士の注視行動分析

    SUZUKI TAKAYUKI, HORIGUCHI YUKIO, SAWARAGI TETSUO, NAKANISHI HIROAKI, NAKAMURA TETSUYA, MUNESHIGE MICHINORI, FUKUDA KEISUKE

    ファジィシステムシンポジウム講演論文集   29th   546 - 551   2013.9

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  • Parameter-Mapping Sonification for Manual Control Task: Timbre and Intensity Manipulation to Sonify Dynamic System State Reviewed

    Yukio Horiguchi, Ken Miyajima, Hiroaki Nakanishi, Tetsuo Sawaragi

    Proceedings of SICE Annual Conference 2013   2341 - 2346   2013.9

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    This study empirically examines parameter-mapping sonifications which generate non-speech audio to represent the gap between the current and the desired state of the system being controlled. Focusing on manipulations of sound timbre and intensity, several data-to-sound mappings to transform the gap or system error into audible sound are compared in order to induce general knowledge of sonification design. Two experiments, using a one-dimensional tracking task, confirmed that timbre variation is useful in conveying categorical information about the target direction, and that scaling functions to produce no audible sound at the goal state with a relatively large dead zone are advantageous.

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  • 運転時分制約を考慮した速度情報可視化による電車運転支援

    KUDO HIROKI, HORIGUCHI YUKIO, SAWARAGI TETSUO, NAKANISHI HIROAKI, NAKAMURA TETSUYA, MUNESHIGE MICHINORI

    システム制御情報学会研究発表講演会講演論文集   57th   ROMBUNNO.124-3   2013.5

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  • Visualization of control structure in human-automation system based on cognitive work analysis Reviewed

    Yukio Horiguchi, Catherine M. Burns, Hiroaki Nakanishi, Tetsuo Sawaragi

    IFAC Proceedings Volumes (IFAC-PapersOnline)   12 ( 1 )   423 - 430   2013

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    Human operators who supervise advanced automation systems need information not only about the systems being controlled but also about the automation itself engaged in the system control. They are required to have correct mental models on mechanisms and constraints underlying in the system functions to make decisions on monitoring and adjusting complex interaction among subsystems or components. In the present paper, a new method is proposed to investigate complex control structures consisting of human and technological agents based on the framework of Cognitive Work Analysis (CWA). After the first two stages of CWA, their separate results will be combined into a unified picture which gives visualization of connections between different controllers' tasks and the system being controlled. Finishing mill, a highly automated manufacturing process, is employed as an example domain to demonstrate how this method make visible the complex control structure within the system. Copyright © 2013 IFAC.

    DOI: 10.3182/20130811-5-US-2037.00075

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  • 把持における錯視による動作変化の解析

    芦田良介, 中西弘明, 椹木哲夫, 堀口由貴男

    計測自動制御学会システム・情報部門学術講演会2013講演論文集   260 - 262   2013

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  • Analysis of Train Driver's Attentive Action Using Structural Modeling Method

    Suzuki Takayuki, Horiguchi Yukio, Sawaragi Tetsuo, Nakanishi Hiroaki, Nakamura Tetsuya, Muneshige Michinori, Fukuda Keisuke

    Proceedings of the Fuzzy System Symposium   29   125 - 125   2013

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    Because visual attention is so important for train drivers to operate trains safely, analysis of their attentive action may lead to knowledge to improve their vigilance and information retrieval skills. In this paper, by means of Interpretive Structural Modeling, we try to extract characteristic eye movement patterns to distinguish train drivers with different levels of expertise. The result shows that the method can extract characteristic patterns in attentive action from train driver's eye-gaze time series.

    DOI: 10.14864/fss.29.0_125

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  • An empirical investigation of the development of driver's mental model of a Lane Departure Warning system while driving Reviewed

    Tabinda Aziz, Yukio Horiguchi, Tetsuo Sawaragi

    IFAC Proceedings Volumes (IFAC-PapersOnline)   12 ( 1 )   461 - 468   2013

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    Like all man-made artefacts, Advanced Driver Assistance Systems have certain limitations beyond which they cannot function properly or work at all. The users in the driving domain have diverse backgrounds and it is likely that many of them start interacting with the technology without having gained detailed knowledge, such as by reading user manuals. This study explores whether drivers with only minimal knowledge of the Lane Departure Warning system can recognize the system's speed threshold and update themselves about this in a dynamic driving environment. Since drivers are not always single-mindedly focused on driving, a group of participants was also prompted to perform a secondary task while driving. Our investigation allowed us to estimate the effects of 1) drivers' minimal mental model of the system's working and 2) insufficient knowledge concerning the system capacities, upon their situation awareness and their capabilities of learning from experience. It was assumed that the demands of multitasking would impair the driver's ability to observe the system's state and delay the mental model improvement process, compared to a setting in which driving was the only task. Experiment results using a driving simulator have been presented. Copyright © 2013 IFAC.

    DOI: 10.3182/20130811-5-US-2037.00022

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  • A Cognitive Work Analysis of Hot Strip Mill Operation: Modeling Functional Structure of a Highly Automated Process Reviewed

    HORIGUCHI Yukio, BURNS Catherine M, NAKANISHI Hiroaki, SAWARAGI Tetsuo

    Preprints of the IFAC Workshop on Automation in the Mining, Mineral and Metal Industries 2012   208 - 213   2012.9

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  • 動作解析のための特異スペクトル変換の拡張と姿勢表現

    TOKUNAGA HISATO, NAKANISHI HIROAKI, SAWARAGI TETSUO, HORIGUCHI YUKIO

    日本機械学会ロボティクス・メカトロニクス講演会講演論文集   2012 ( 80 )   ROMBUNNO.2P1-N07 - 8.8   2012.5

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    Segmentation of human's behavior plays an important role in behavior analysis. As a method based on Singular Spectrum Transformation (SST) can extract change-points in human's behavior caused not only by muscle forces but also by external forces, it has been proven that SST is an effective tool for behavior analysis. However, attitude representation appropriate for change point extraction has not been considered. In this paper, a method to extend SST which can be applied to detect change points of multi-dimensional time series is described. Because coefficients of AR models of the time series was compared with in extended SST, it is proven that attitude representation using unit quaternion is appropriate due to its linear kinematic equation. On the other hand, extended SST using Euler angles can not extract motion change points properly due to its nonlinear kinematic equation. Moreover, it is also proven that SST of individual elements of unit quaternion fails to extract motion change points and that extended SST of unit quaternion is an essential tool to extract motion change points appropriately.

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  • Attitude Representation for Motion Feature Extraction using Singular Value Decomposition(Digital Human)

    OKAMOTO Takafumi, NAKANISHI Hiroaki, KANATA Sayaka, SAWARAGI Tetsuo, HORIGUCHI Yukio

    Proceedings of the JSME Conference on Robotics and Mechatronics   2012   2P1-N06 - N06(1)"-"2P1-N06(4)"   2012.5

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    Singular Value Decomposition (SVD) plays an important role in analyzing human behavior. Human behavior can be represented using attitudes of human body parts. Unit quaternion is widely used to represent attitudes because of lacking singularity. In the previous study, unit quaternion was used to represent attitudes of human body parts. However, a constraint exists in the representation using unit quaternion, and it has significant effect on the feature extracted by SVD. The purpose of this paper is to establish a proper representation of attitudes of human body parts for behavior analysis using SVD. Behavior analysis results using unit quaternion were compared with the results using exponential map, and the contribution ratio of the first mode in using unit quaternion is too large to analyze human behaviors properly. Finally, we concluded the exponential map is suitable attitude representation.

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  • 拡張特異スペクトル変換による動作変化点誤検出の原因解析とその改善

    徳永寿慧, 中西弘明, 椹木哲夫, 堀口由貴男

    計測自動制御学会システム・情報部門学術講演会2012講演論文集   339 - 344   2012

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  • 機能スキーマ推定を用いたAV機器ヘルプインタフェースの評価

    井上剛, 小澤順, 堀口由貴男, 中西弘明, 椹木 哲夫

    第55回自動制御連合講演会講演論文集   574 - 579   2012

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  • 力学的パラメータ認知のための動作の環境適応成分の抽出

    岡本鷹文, 中西弘明, 金田さやか, 椹木哲夫, 堀口由貴男

    第55回自動制御連合講演会講演論文集   551 - 556   2012

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  • 動作教示を目的とした特異値分解を用いた動作解析法

    中西弘明, 北侑祐, 椹木哲夫, 堀口由貴男

    第28回ファジィシステムシンポジウム 講演論文集   143 - 148   2012

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  • 機能群の句構造分析に基づくメニュー階層の設計

    堀口由貴男, 安伸樹, 中西弘明, 椹木哲夫

    ヒューマンインタフェースシンポジウム2012 論文集   643 - 648   2012

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  • 機能スキーマ推定に基づくAV機器ヘルプシステムのインタラクション制御手法

    井上剛, 小澤順, 堀口由貴男, 安伸樹, 中西弘明, 椹木哲夫

    ヒューマンインタフェースシンポジウム2012 論文集   1003 - 1006   2012

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  • インタラクション・プリミティブに基づくに基づくフレーム駆動モデルによるAV機器ヘルプシステム評価

    井上剛, 小澤順, 堀口由貴男, 中西弘明, 椹木哲夫

    第39回知能システムシンポジウム資料   287 - 291   2012

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  • Analysis of Menu Selection Behavior Using Information Scent Model Reviewed

    Yukio Horiguchi, Shinsu An, Tetsuo Sawaragi, Hiroaki Nakanishi

    6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS   1514 - 1519   2012

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    This study applies information scent model to the domain of menu-based interfaces and demonstrates its ability to predict user behavior within a menu hierarchy. The information scent model addresses how people make use of perceptual cues like snippets of text in order to make their navigation decisions in choosing a particular option and gives a formula to measure the relevance of each option to a particular goal concept. The model was used to analyze the data collected in a set of experiments to study characteristics of users' menu selection behaviors. Users have to base their navigation decisions on the lexical similarity found on menu labels with their intended use when they have not learned the structure of the menu system yet. Our analysis confirmed that the information scent distribution can give a useful indicator to predict which item in a menu such users may select.

    DOI: 10.1109/SCIS-ISIS.2012.6505334

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  • Evaluation of a help system designed using interaction primitives to estimate the function schemata of users Reviewed

    Tsuyoshi Inoue, Jun Ozawa, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012   238 - 242   2012

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    This paper proposes a help system that would simplify the use of search functions on audio visual (AV) appliances. The proposed help system is equipped with an interface for user interaction that employs a frame-driven dialog model. The frames are designed using common structures extracted by analyzing device functions based on interaction primitives. In addition, the proposed help system estimates the types of common structures (function schema) on the basis of the operation history recorded prior to the user pressing the help button to reduce user effort. To ascertain the effectiveness of the function schema estimations, we constructed a help system for a DVD recorder and evaluated the decrease in user effort by using the operation history data of the DVD recorder derived from 30 tasks performed by 14 users. The experimental results showed an 8.6% reduction in user effort when compared to a system that does not apply function schema estimation. © 2012 IEEE.

    DOI: 10.1109/GCCE.2012.6379590

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  • 産業用ロボットの力制御動作調整のための教示作業インタフェース ペグ挿入動作を対象とした作業制約の分析と可視化

    堀口由貴男, 中西弘明, 椹木哲夫, 永谷達也, 野田哲男

    第13回計測自動制御学会SI部門講演会講演論文集   1564 - 1568   2012

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  • Extraction of Cognitive Index for Dynamic Parameter in Human Motion

    MISHIMA Kenichi, KANATA Sayaka, NAKANISHI Hiroaki, SAWARAGI Tetsuo, HORIGUCHI Yukio

    Proceedings of the JSME Conference on Robotics and Mechatronics   2011   2P2-K15(1) - 2P2-K15(4)   2011.5

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    Human behavior is affected by some dynamic parameters, which represent the interaction between the body and the environment. In the previous research, a method to extract adaptive components in the behavior has been proposed. This method provides precise reconstruction of behavior using the adaptive components. However, it is not proven that these reconstructed behaviors affect people to perceive the dynamic parameters properly. In this paper, a method to estimate the cognitive scale of the dynamic parameter and a method to extract the characteristic components necessary for perception are proposed. The proposed methods have been applied to loading motion. Those results have suggested that the extracted characteristic components, that is the cognitive index, are not identical with the adaptive components.

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  • Extraction of Similarities and Differences in Human Behavior Using Singular Value Decomposition Reviewed

    Ken'ichi Mishima, Sayaka Kanata, Hiroaki Nakanishi, Tetsuo Sawaragi, Yukio Horiguchi

    The IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences A   94 ( 4 )   293 - 302   2011.4

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  • Menu system design based on conceptual dependency structures between functional elements Reviewed

    Yukio Horiguchi, Wataru Gejo, Tetsuo Sawaragi, Hiroaki Nakanishi

    2011 IEEE/SICE International Symposium on System Integration, SII 2011   262 - 266   2011

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    To avoid breakdowns in human-system interaction on the way to the target item, menu systems must be designed as compatible with his/her way of thinking. Concerning this issue, this study focuses on conceptual dependencies between elements involved in device functions. Dependency structures are examined to design interaction processes in which the user can narrow down options reasonably and effectively. A small set of common structures to classify device functions were extracted from the analysis of a wide variety of appliances' functions. The proposed method makes use of those structures to generate a menu hierarchy, facilitating the users applying the mental model they have already developed from their past experience to another new search context. © 2011 IEEE.

    DOI: 10.1109/SII.2011.6147457

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  • Changes in coordinative structure through human-environmental interaction and its role in estimation of dynamics Reviewed

    Hiroaki Nakanishi, Sayaka Kanata, Tetsuo Sawaragi, Yukio Horiguchi, Hirofumi Hattori

    2011 IEEE/SICE International Symposium on System Integration, SII 2011   273 - 278   2011

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    Humans are able to acquire information on dynamics that cannot be directly obtained through observation of kinematics. Since the coordinative structure of the human behavior is self-organizing in interactions with the environment, a change in the environment induces a change in the coordination structure. It is posited that humans identify dynamic interactions between the body of the actor and the external environment through the interpolation of coordinated structures for observed behaviors. Coordinative structures consist of invariant part and covariant part. Invariant part is a set of motion change points which are found even if the environment or dynamic interaction has changed. Covariant part is a set of motion change points caused by the environmental changes. In this paper, we examine more closely the changes in coordinative structure induced by changes in dynamic interactions with the environment, and describe a method to extract invariant and covariant part of coordinative structures. Moreover The importance of the change in the coordinated structure in recognition of the dynamic interaction by observers is also described. The results of dynamics recognition experiments revealed that information necessary for the estimation of relative weight is contained in the covariant part of the coordinated structures but not in their invariant regions, and furthermore that timing is also an essential for estimation. © 2011 IEEE.

    DOI: 10.1109/SII.2011.6147459

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  • Data-to-sound mapping to sonify ongoing system status in continuous manual control task Reviewed

    Yukio Horiguchi, Keisuke Yasuda, Hiroaki Nakanishi, Tetsuo Sawaragi

    Proceedings of the Human Factors and Ergonomics Society   55th   1235 - 1239   2011

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    This study empirically examines parameter-mapping sonifications to represent the difference or error between the desired state and the current state of the system being controlled using the non-speech audio. Eight different types of data-to-sound mappings were prepared by which the error was mapped onto either or both of two acoustic parameters of intensity and frequency. The mappings were tested through an experiment using a one-dimensional tracking task. The experimental results shows the following points: 1) as for the tracking task, the mappings are preferable in which the sound intensity falls as the error decreases, 2) no audible sound when no error remains is effective because listeners can easily identify the achievement to the goal from the sound itself, and 3) it seems more effective to map the error to the intensity and frequency redundantly than only to either of them, if perceptual interaction between changes in loudness and pitch is considered enough. Copyright 2011 by Human Factors and Ergonomics Society, Inc. All rights reserved.

    DOI: 10.1177/1071181311551257

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  • 自動化を含む生産プロセスの認知的作業分析

    堀口由貴男, Burns, Catherine, M, 椹木哲夫, 中西弘明

    第12回公益社団法人計測自動制御学会システムインテグレーション部門講演会講演論文集   1403 - 1406   2011

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  • A TZBM-based algorithm for flow shop scheduling problem considering the decision maker's preference Reviewed

    Tetsuo Sawaragi, He Xu, Yajie Tian, Yukio Horiguchi, Jidong Ren

    Tetsu-To-Hagane/Journal of the Iron and Steel Institute of Japan   97 ( 6 )   352 - 359   2011

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    Nowadays steel manufacturing pays a critical attention to on-time delivery and inventory reduction. In our study, we propose a heuristic algorithm to solve the hybrid flow shop scheduling problem (HFSP) considering reducing total tardiness and inventory time. In order to achieve a feasible solution in limited computational time, the algorithm is based on Three-zone Buffer Management (TZBM) approach. TZBM approach combines the Drum Buffer Rope (DBR) method proposed in theory of constraints (TOC), with a contract net protocol in multi-agent system (MAS). The effectiveness of the proposed algorithm is shown by simulation results comparing with the results obtained by a Tabu search (TS) algorithm. In the production field, a shipment buffer is set between the due date and the shipping time in order to avoid possible late shipment. The size of shipment buffer is always decided according to the experience of a system operator who has responsibility to draw up a production schedule. Wherein, an operator needs to take a decision considering trade-off between on-time delivery and inventory reduction. Therefore, a new interactive decision support system is proposed which is based on the two-stage TZBM approach. The operator needs to make his/her judgment whether an optimal solution shown by the system is preferable or not, then to change the trade-off between the two conflicting objectives. The system needs to compute another optimal solution according to judgment given by the operator. Under the result of numerical experiments, to integrate the experience of operators with the computational intelligence of systems proves to be an effective scheduling method.

    DOI: 10.2355/tetsutohagane.97.352

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    Other Link: http://repository.kulib.kyoto-u.ac.jp/dspace/handle/2433/171951

  • Analysis of time delay in user's awareness of ACC system mode transitions Reviewed

    HORIGUCHI Yukio, SUZUKI Takanori, NAKANISHI Hiroaki, SAWARAGI Tetsuo

    Proceedings of the SICE Annual Conference 2010   911 - 915   2010.8

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  • Ecological interface design for teaching assembly operations to industrial robot. Reviewed

    HORIGUCHI Yukio, KURONO Kohei, NAKANISHI Hiroaki, SAWARAGI Tetsuo, NAGATANI Tatsuya, NODA Akio, TANAKA Ken'ichi

    Proceedings of the 11th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems (2010), Valenciennes, France, August 31 - September 03, 2010.   11 ( Part 1 )   442 - 447   2010.8

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  • Extraction of similarities and differences in human behavior using singular value decomposition. Reviewed

    MISHIMA Kenichi, KANATA Sayaka, NAKANISHI Hiroaki, SAWARAGI Tetsuo, HORIGUCHI Yukio

    Proceedings of the 11th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems (2010), Valenciennes, France, August 31 - September 03, 2010.   11 ( Part 1 )   436 - 441   2010.8

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  • Intelligent Robot Technologies for Cell Production System Reviewed

    NODA Akio, TANAKA Ken'ichi, OKUDA Haruhisa, NAGATANI Tatsuya, KITAAKI Yasuo, DOMAE Yukiyasu, DOBASHI Hiroki, YOKOKOHJI Yasuyoshi, KURONO Kohei, HORIGUCHI Yukio, NAKANISHI Hiroaki, SAWARAGI Tetsuo, ISOMURA Keisuke, UTSUNO Hideo, MATSUHISA Hiroshi, KAZAMA Shin'ichi, KOHDA Takehisa

    Proc. 2010 International Symposium on Flexible Automation (ISFA 2010)   2010.7

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  • Development of Configural Display to Support Industrial Robot Teaching based on the Analysis of Normative Search Strategy of Accurate Operation Positions

    HORIGUCHI Yukio, KURONO Kohei, NAKANISHI Hiroaki, SAWARAGI Tetsuo, NAGATANI Tatsuya, NODA Akio, TANAKA Ken'ichi

    Proceedings of the JSME Conference on Robotics and Mechatronics   2010   2A1-F21(1) - 2A1-F21(4)   2010.6

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    For the purpose of developing a practical support tool for human workers engaged in industrial robot teaching, the activity of teaching operation positions to a robot is analyzed by use of a mechanical explanation model to capture the force-displacement relationship inherent in the work system. The analysis clarifies a basic, normative operation strategy making use of a characteristic frame of reference in the position search space. Based on this finding, a prototype GUI is developed that can provide effective information supports for different granularities of the activity in position teaching. In terms of the distributed information resources model, each element of the GUI is qualitatively investigated to confirm that the proposed GUI represents the activity-related information in a way that affords the robot operators' strategic operations.

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  • Analysis of characteristic motion of non-periodic behavior using singular value decomposition

    MISHIMA Kenichi, KANATA Sayaka, NAKANISHI Hiroaki, SAWARAGI Tetsuo, HORIGUCHI Yukio

    Proceedings of the JSME Conference on Robotics and Mechatronics   2010   2A1-A26(1) - 2A1-A26(4)   2010.6

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    We proposed a method to extract similarities and differences of human behavior using singular value decomposition. It was proved that the proposed method is able to extract some characteristic motion patterns from periodic behavior. This paper reports similarities and differences of non-periodic human behavior, such as loading motion, which are extracted by the proposed method. Instead of using Euler angles, unit quaternion is adopted for attitude representation to avoid singularity. However, it is difficult to analyze the characteristic motion patterns represented by unit quaternion. The method to analyze the extracted characteristic motion is reported in this paper. Discussions on these results are also reported.

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  • 多モード機械に対するユーザのモード誤認識要因の分析に基づくインタフェース

    鈴木貴憲, 堀口由貴男, 中西弘明, 椹木哲夫

    第37回知能システムシンポジウム資料   215 - 220   2010

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  • 運動計測情報の特異値分解による分析と動作認識の関係

    中西弘明, 金田さやか, 三嶋賢一, 椹木哲夫, 堀口由貴男

    第54回システム制御情報学会研究発表講演会講演論文集   555 - 556   2010

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  • Estimation of magnetic declination angle using reduced QUEST for an unmanned aerial vehicle Reviewed

    Hiroaki Nakanishi, Sayaka Kanata, Tetsuo Sawaragi, Yukio Horiguchi

    Proceedings of the IEEE International Conference on Industrial Technology   1308 - 1312   2010

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    Measurement of the heading angle which is free from magnetic declination using several GPS antennas is widely applied, but it is not suitable for small unmanned aerial vehicles because of their limit of the payload and body length. In this paper, we propose a method to estimate the magnetic declination angle using an inertial measurement unit(IMU) and only one GPS antenna. The method consists of 1) estimation of the acceleration of the motion from GPS measurements and 2) estimation of the magnetic declination angle using the estimated accelerations and IMU measurements. We show that the estimation of the magneticdeclination angle results in reduced QUESTflO], that is an eigenvalue problem of 2 x 2 real matrix. Flight experimental results using an unmanned helicopter demonstrate the effectiveness of the proposed methods. ©2010 IEEE.

    DOI: 10.1109/ICIT.2010.5472530

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  • INTEGRATING CASE BASED REASONING AND EXPLANATION BASED LEARNING IN AN APPRENTICE AGENT Reviewed

    Lei Wang, Tetsuo Sawaragi, Yajie Tian, Yukio Horiguchi

    ICAART 2010: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1: ARTIFICIAL INTELLIGENCE   667 - 670   2010

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    The problem in applications of case based reasoning (CBR) is its utility problem, that is, the cost of retrieving the most appropriate case from the case library for a new given problem and the cost of adapting the retrieved case for solving the new given problem. This paper proposes an approach to solve the utility problem of CBR by integrating CBR and explanation based learning (EBL) from a perspective that emphasizes the function of learning in CBR. In this paper, CBR and EBL are integrated in an apprentice agent, and the application of this apprentice agent in the robotic assembly domain is given as an example.

    DOI: 10.5220/0002763306670670

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  • Environmental Adaptive Turning for an Autonomous Unmanned Helicopter

    NAKANISHI Hiroaki, KANATA Sayaka, SAWARAGI Tetsuo, HORIGUCHI Yukio

    Proceedings of the JSME Conference on Robotics and Mechatronics   2010   1A2-D08(1) - 1A2-D08(4)   2010

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    Adaptation to the environmental changes, such as wind, has very important role to improve the reliability of an autonomous unmanned helicopter. Adaptive yaw (heading) control for an autonomous helicopter is discussed in this paper. The control structure is based on a hierarchal scheme utilizing an inner yaw feedback control loop plus an outer feedback loop, which estimates the direction of the airspeed using roll angle and roll angular rate. Stable coupling in yaw and roll motion is induced by the proposed controller to improve the stability of the helicopter's flight. Turning utilizing the proposed adaptive control system is discussed in particular. Results of flight experiments showed bifurcation of the helicopter's maneuvering in turning occurs depending on the airspeed. The results indicate that the autonomous unmanned helicopter can select a turning maneuver that is suitable for the environment and thus stabilizes its flight.

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  • 産業用ロボットの教示知識の対話型獲得と再利用

    王磊, 椹木哲夫, 田 雅杰, 堀口 由貴男, 中西弘明

    SICE システムインテグレーション部門学術講演会2010講演論文集   2010

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  • 身体動作における環境適応成分の抽出

    三嶋賢一, 金田さやか, 中西弘明, 椹木哲夫, 堀口由貴男

    SICE システム・情報部門学術講演会2010講演論文集   2010

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  • 特異スペクトル変換による操作分節化に基づく操作技能獲得過程の分析法

    木津正晴, 中西弘明, 堀口由貴男, 椹木哲夫

    SICE システム・情報部門学術講演会2010講演論文集   2010

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  • 集団的意思決定のマネジメントのための会議シミュレーション・モデルの構築

    草間亮一, 椹木哲夫, 堀口由貴男, 中西弘明

    SICE システム・情報部門学術講演会2010講演論文集   2010

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  • 産業用ロボットの教示自動化技術

    永谷達也, 野田哲男, 田中健一, 黒野晃平, 堀口由貴男, 中西弘明, 椹木哲夫

    第54回システム制御情報学会研究発表講演会講演論文集   391 - 392   2010

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    DOI: 10.11509/sci.SCI10.0.185.0

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  • 意思決定のモデリングに基づく操作技能獲得過程の分析

    木津正晴, 中西弘明, 堀口由貴男, 椹木哲夫

    第54回システム制御情報学会研究発表講演会講演論文集   677 - 678   2010

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    DOI: 10.11509/sci.SCI10.0.331.0

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  • 会議中の意思決定過程の実測調査とシミュレーションモデルの構築

    草間亮一, 椹木哲夫, 堀口由貴男, 中西弘明

    第22回自律分散システム・シンポジウム資料   27 - 32   2010

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  • 次世代セル生産を実現するロボット知能化技術 Invited

    野田哲男, 奥田晴久, 田中健一, 永谷達也, 北明靖雄, 堂前幸康, 椹木哲夫, 横小路泰義, 堀口由貴男, 幸田武久, 宇津野秀夫, 松久寛, 水山元, 小森雅晴, 泉井一浩, 西脇眞二

    次世代セル生産を実現するロボット知能化技術,第10回社団法人計測自動制御学会システムインテグレーション部門講演会, 東京,日本   766 - 769   2009.12

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  • Development of intelligent robotic technologies for the next generation cell production systems

    Ken-ichi Tanaka, Tetsuo Noda, Haruhisa Okuda, Tetsuo Sawaragi, YOKOKOHJI YASUYOSHI, Takehisa Koda, Yukio Horiguchi

    Robot (magazine of Japan Robot Association)   191 ( 191 )   35 - 40   2009.11

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  • Evaluation of Operator Competence to Identify System State in Conditioning Automated Processes Reviewed

    HORIGUCHI Yukio, NAKANISHI Hiroaki, SAWARAGI Tetsuo

    Proceedings of the ICROS-SICE International Joint Conference 2009   4166 - 4171   2009.8

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  • Composite Information Display for Assistance of Online Robot Teaching : Utilization of Force Information for Teaching Accurate Motion Points

    KURONO Kohei, HORIGUCHI Yukio, NAKANISHI Hiroaki, SAWARAGI Tetsuo, NODA Akio

    Proceedings of the JSME Conference on Robotics and Mechatronics   2009   2A1-A14(1) - 2A1-A14(2)   2009.5

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    Conventional methods of online robot teaching have difficulity for the teaching operator to detect accurate positional errors between the hand and a workpiece. For the purpose of developing practical supports for online robot teaching, this study investigates information requirements of the operator's work and then discusses their effective visualization of data from a camera and a force sensor attached to the robot's wrist. Hierarchical Task Analysis is applied to the operator's task in defining positions and postures of the hand against actual workpieces, to extract specific pieces of information or relationship that should be incorporated into the visual assistance. Considering these information requirements, we propose a GUI to visualize the force information in order to find accurate motion points effectively. The proposed GUI can help the operators to figure out motion points more precisely, and can reduce the amount of time for robot teaching.

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  • Adaptive Heading Control for an Autonomous Unmanned Helicopter

    NAKANISHI Hiroaki, Kanata Sayaka, Sawaragi Tetsuo, Horiguchi Yukio

    Proceedings of the JSME Conference on Robotics and Mechatronics   2009   1A2-F05(1) - 1A2-F05(4)   2009.5

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    To develop flying rescue robots using autonomous unmanned helicopters, it is necessary to improve performance and reliability of flight control systems. Adaptation against the environmental changes, such as wind, has very important role. In this paper, adaptive heading (yaw) control for an autonomous helicopter is proposed. Roll angle and roll rate are used to determine desired yaw angle. Therefore, roll dynamics and yaw dynamics are coupled and stable dutch roll is induced to change the yaw angle corresponding to wind direction or the direction of the helicopter's motion. Results of flight experiments show the effectiveness of the proposed method.

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  • 産業用ロボットの組付け動作教示を支援する複合情報GUI

    黒野晃平, 堀口由貴男, 中西弘明, 椹木哲夫, 永谷達也, 野田哲男, 田中 健一

    計測自動制御学会SI部門学術講演会講演論文集   738 - 741   2009

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  • 記憶構造モデルに着目した失敗事例からの知識獲得支援

    伊藤公一, 堀口由貴男, 中西弘明, 椹木哲夫

    第36回知能システムシンポジウム資料   111 - 116   2009

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  • 自動調理プロセスのカスタマイズを支援するユーザインタフェースの設計

    南出陽子, 堀口由貴男, 中西弘明, 椹木哲夫, 野本弘平, 山崎友賀

    第36回知能システムシンポジウム資料   171 - 176   2009

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  • 動作認識のための特異スペクトル変換による力学的相互作用の抽出

    櫻井啓智, 中西弘明, 堀口由貴男, 椹木哲夫

    第36回知能システムシンポジウム資料   205 - 210   2009

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  • ファジィクラシファイアシステムを用いたルール抽出による機械操作熟達化の分析

    宮口秀平, 堀口由貴男, 中西弘明, 椹木哲夫

    第36回知能システムシンポジウム資料   277 - 282   2009

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  • 自動調理プロセスのカスタマイズ支援情報の抽出

    南出陽子, 堀口由貴男, 中西弘明, 椹木哲夫, 野本弘平, 山崎友賀

    平成20年度シンポジウム 若手研究発表会講演論文集   99 - 100   2009

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  • 産業用ロボットの組付け作業教示支援技術

    永谷達也, 野田哲男, 黒野晃平, 堀口由貴男, 田中 健一, 中西弘明, 椹木哲夫

    計測自動制御学会SI部門学術講演会講演論文集   771 - 772   2009

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  • 特異値分解を用いた動作における個人間の類似と差異の抽出

    三嶋賢一, 金田さやか, 中西弘明, 堀口由貴男, 椹木哲夫

    第52回連合講演会講演論文集   611 - 612   2009

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    DOI: 10.11511/jacc.52.0.39.0

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  • 情報香モデルを用いたメニュー選択行動の分析

    下條亘, 堀口由貴男, 中西弘明, 椹木哲夫

    第52回連合講演会講演論文集   77 - 78   2009

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    DOI: 10.11511/jacc.52.0.58.0

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  • Identifying Latent Similarities among Near-Miss Incident Records Using a Text-Mining Method and a Scenario-Based Approach Reviewed

    Tetsuo Sawaragi, Kouichi Ito, Yukio Horiguchi, Hiroaki Nakanishi

    HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION: INFORMATION AND INTERACTION, PT II   5618 ( Part II )   594 - 603   2009

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    This research focuses on supporting an analyst&apos;s activity of interpreting the contents of existing incident reports. During this activity, analysts are always predicting expected scenarios of the incidents at hand in comparing that with the actual development of the incidents reported therein. In order to learn lessons from a particular prior experience, analysts should be aware of the latent similarities among the incidents and should experience a breakdown called "expectation-failure" to let that incident be surely printed in their memory. To let the human analysts experience this breakdown, our system introduces a theory of Memory Organization Packets (MOPs) as a framework for explaining the dynamic memory structure of the human. By utilizing this idea as a basis for scenario-based expectation of human analysts and by integrating this idea with a text-mining method, a system for supporting an incident analysis is developed for a domain of medical incidents. Results of the experiments using our proposing system are presented, where the subjects are nurses working for a hospital. Based on those results, effectiveness of the system is discussed from various viewpoints by investigating into the protocols gathered from the subjects of the experiments.

    DOI: 10.1007/978-3-642-02559-4_65

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  • Analysis of Breakdowns in Menu-Based Interaction Based on Information Scent Model Reviewed

    Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi, Yuji Kuroda

    HUMAN-COMPUTER INTERACTION, PT I   5610 ( Part I )   438 - 445   2009

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    High communicability of the menu-based system is on the basis of consistent vision and clear policy in designing the system of menus, and then they should be perceivable to the users. In this light,failures in menu-based interactions can be explained that they might emerge from lack of information in the users&apos; available cues to identify the design vision. This study focuses on communicative break-downs in menu-based human-computer interactions from this perspective, and investigates their causes in ill-organized structures of menu hierarchy in terms of the user&apos;s interpretation of the menu items. Pirolli&apos;s information scent model is extended and utilized as an analytical tool for describing the meaning system of menus from the users&apos; point of view, and their decision making in search of particular menu items is analyzed by use of information scent.

    DOI: 10.1007/978-3-642-02574-7_49

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  • Parameter Estimation of a Cardiac Muscle Model for Clinical Data Assimilation

    HAZAMA KAZUHIRO, KANATA SAYAKA, NAKANISHI HIROAKI, HORIGUCHI YUKIO, SAWARAGI TETSUO

    自動制御連合講演会   52nd   ROMBUNNO.H6-4 - 297   2009

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    DOI: 10.11511/jacc.52.0.297.0

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  • Design guidelines for human interface for rescue robots

    Yasuyoshi Yokokohji, Takashi Tsubouchi, Akichika Tanaka, Tomoaki Yoshida, Eiji Koyanagi, Fumitoshi Matsuno, Shigeo Hirose, Hiroyuki Kuwahara, Fumiaki Takemura, Takao Inoh, Kensuke Takita, Naoji Shiroma, Tetsushi Kamegawa, Yasushi Hada, Xin-Zhi Zheng, Koichi Osuka, Taro Watasue, Tetsuya Kimura, Hiroaki Nakanishi, Yukio Horiguchi, Satoshi Tadokoro, Kazunori Ohno

    Rescue Robotics: DDT Project on Robots and Systems for Urban Search and Rescue   131 - 144   2009

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    In this chapter, we summarize the findings and knowhow in the individual developments of rescue robots and attempt to establish design guidelines for the human interface for rescue robots. The guidelines for image display were established on the basis of some case studies in the DDT project and RoboCupRescue. Since the established guidelines are general and independent of the purpose of a robot, we decided to build a standardized image display prototype. After introducing some implementation examples based on our guidelines, the standardized image display prototype is presented. The established guidelines would be useful for the future development of rescue robots. Further, the prototype image display is a good example of a standardized interface testbed. © 2009 Springer London.

    DOI: 10.1007/978-1-84882-474-4_7

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  • 特異スペクトル変換を用いた動作解析による力学的相互作用の抽出

    服部裕史, 中西弘明, 堀口由貴男, 椹木哲夫

    計測自動制御学会SI部門学術講演会講演論文集   620 - 623   2009

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  • 自律型無人ヘリコプタの環境適応方位角制御とその改善方法

    中西弘明, 金田さやか, 椹木哲夫, 堀口由貴男

    計測自動制御学会SI部門学術講演会講演論文集   1973 - 1976   2009

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  • Analysis of Machine Operation Skill Based on the Variations Observed in Situational Discrimination and Behavioral Adjustment

    HORIGUCHI YUKIO, HAKAMAGI JUN, NAKANISHI HIROAKI, SAWARAGI TETSUO

    ファジィシステムシンポジウム講演論文集   24th   225 - 230   2008.9

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  • A Study on Estimation Method of the Magnetic Declination for Autonomous Unmanned Aerial Vehicles

    NAKANISHI Hiroaki, Kanata Sayaka, Sawaragi Tetsuo, Horiguchi Yukio

    Proceedings of the JSME Conference on Robotics and Mechatronics   2008   1P1-F17(1) - 1P1-F17(4)   2008.6

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    Measurement of the heading which is free from magnetic declination by use of several GPS antennas is widely applied, but it is not suitable for small unmanned aerial vehicles because of its limit of the payload and body length. In this paper, we propose a method to estimate the magnetic declination using an IMU and one GPS antenna. The method consists of 1) estimation of the acceleration of the motion from GPS measurements and 2) estimation of the magnetic declination angle using the estimated accelerations and IMU measurements. We show that the estimation of the magnetic declination angle results in reduced QUEST, that is an eigenvalue problem of 2 x 2 real matrix. Experimental results of flight control of an unmanned helicopter demonstrate the effectiveness of the proposed method.

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  • A Study on Communication Modality to Support Mode Awareness: Examining Driver's Awareness of Mode of Driving Support System Reviewed

    HORIGUCHI Yukio, SUZUKI Takanori, NAKANISHI Hiroaki, SAWARAGI Tetsuo

    Proceedings of the 9th International Probabilistic Safety Assessment and Management   PSAM-0317   2008.5

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  • Information Scent Analysis of Hierarchical Menu Design for Quantitative Assessment of Communicative Breakdowns Reviewed

    Yukio Horiguchi, Yuji Kuroda, Hiroaki Nakanishi, Tetsuo Sawaragi

    2008 PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-7   365 - 369   2008

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    This paper discusses usability issues in the design of hierarchical menu systems in terms of the user&apos;s interpretation of the interface signs, or the menus. Focusing on the exploration of a particular functional item in the menu hierarchy, novice users&apos; interactions with a computerized system are examined from the perspective of communicative breakdowns at first, and then the menu structure is evaluated through the information scent analysis. The former analysis investigates differences between the designer and the users in the basic assumptions for signifying or interpreting the interface signs, (i.e., menu texts and their organization for listing), especially on the &apos;peripheral&apos; functions of the product. The latter analysis investigates the distribution of information scent in a menu list in order to obtain new quantitative clues for the assessment of whether the menu design is compatible with the users&apos; naturalistic decision strategy or not.

    DOI: 10.1109/SICE.2008.4654686

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  • 疾患弁別のための心エコー画像特徴量抽出

    生澤克典, 金田さやか, 中西弘明, 堀口由貴男, 椹木哲夫, 石井克尚

    第52回システム制御情報学会研究発表講演会講演論文集   357 - 358   2008

  • 特異スペクトル変換による行動の分節化

    櫻井啓智, 中西弘明, 堀口由貴男, 椹木哲夫

    第24回ファジィシステムシンポジウム講演論文集   291 - 296   2008

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  • 自律型無人ヘリコプタの環境適応飛行制御系

    中西弘明, 金田さやか, 椹木哲夫, 堀口由貴男

    計測自動制御学会システム・情報部門学術講演会2008講演論文集   413 - 416   2008

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  • Acquiring Human Expert's Tacit Knowledge from Observed Robotic Commands Satisfying the Criterion of Reusability and Understandability

    L. Wang, T. Sawaragi, Y. Tian, Y. Horiguchi, H. Nakanishi

    計測自動制御学会システム・情報部門学術講演会2008講演論文集   497 - 502   2008

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  • 無人航空機による3次元地形情報収集における磁気偏角補正

    中西弘明, 金田さやか, 椹木哲夫, 堀口由貴男

    第26回日本ロボット学会学術講演会講演論文集   2008

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  • A Study on Information Design for Effectively Communicating Mode of Driving Support System

    Takanori Suzuki, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    Proceedings of the Human Interface Symposium 2008   47 - 52   2008

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  • Constructive Approach to Semiotic Process for Mutual Understanding towards Sociality-Centered Automation Reviewed

    Tadahiro TANIGUCHI, Tetsuo SAWARAGI, Yukio HORIGUCHI

    Journal of The Society of Instrument and Control Engineers   46 ( 12 )   945 - 950   2007.12

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    DOI: 10.11499/sicejl1962.46.945

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  • Dynamic Process of a User's Development of Multiple Internal Models of Automation Bahavior Including Mode Transitions Reviewed

    TANIGUCHI Tadahiro, TANAKA Yusaku, HORIGUCHI Yukio, SAWARAGI Tetsuo

    Proceedings of the 2nd International Symposium on Mobiligence   211 - 214   2007.7

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  • Constructive Approach to User's Developing Multiple Internal Models of an Automated System

    TANAKA Yusaku, TANIGUCHI Tadahiro, HORIGUCHI Yukio, NAKAHISHI Hiroaki, SAWARAGI Tetsuo

    自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems   19   97 - 102   2007.1

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  • Introducing Perception-Action Coordination Structure in Human Locomotion to Design of Mobile Robot Teleoperation System

    HAKAMAGI Jun, HORIGUCHI Yukio, SAWARAGI Tetsuo

    自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems   19   245 - 250   2007.1

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  • Ecological interface to enhance user performance in adjusting computer-controlled multihead weigher Reviewed

    Yukio Horiguchi, Ryoji Asakura, Tetsuo Sawaragi, Yutaka Tamai, Kazufumi Naito, Nobuki Hashiguchi, Hiroe Konishi

    HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION: INTERACTING IN INFORMATION ENVIRONMENTS, PT 2, PROCEEDINGS   4558   883 - +   2007

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    This paper presents a case study on developing a smart user interface for supporting the adjustment works on automated weighing machines of computer-controlled multihead weighers. Based upon the theoretical and practical framework of Vicente and Rasmussen's Ecological Interface Design (EID), we clarified the functional structure of the work domain in terms of the means-end relations, and visualized it on the screen displays to encourage the human operator's "direct perception" of the meanings or values of his practicable actions to those automated processes. Comparative experiments using test subjects with a variety of skill levels confirmed the effectiveness of the redesigned user interface that can facilitate unskilled operators appropriately evaluating and effectively responding to their immediate work situations, and that will take the place of the experts' knowledge and insights on the works as one of the distributed resources for cognition.

    DOI: 10.1007/978-3-540-73354-6_96

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  • Differentiation of input-output relations to facilitate user's correct awareness of operating mode of automated control system Reviewed

    Yukio Horiguchi, Ryuichi Fukuju, Tetsuo Sawaragi

    2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8   1257 - +   2007

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    This study investigates a practical guideline on human-machine interaction design to facilitate human operator's correct awareness of the actual operating state of an automated control system in their joint activity. Based on the comprehension that a human being is a "proactive" agent who would affect the external world to obtain new cues to foster its understandings, the mapping structures between the human operator's input operations and the machine's response behaviors, i.e., the input-output relations, may be one of the dominant characters that can explain the operator's awareness of the machine's operating state. From this perspective, we speculate that different control modes with similar input-output relations should be easily mixed up with one another since interactions mediated by those relations would intimate a same mode. This hypothesis was verified through an experiment using a driving simulator that examined drivers on their recognitions of the operating mode of ACC (Adaptive Cruise Control) while driving with it. Another experiment confirmed that a human-machine interaction design to differentiate modes in their input-output relations could successfully reduce mode confusion errors.

    DOI: 10.1109/ICSMC.2007.4413787

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  • Semiotic Process Analysis of Dynamic Transformations in Work Procedures Within Organizational Activities Reviewed

    Tetsuo SAWARAGI, Satoshi TSUKAMOTO, Yukio HORIGUCHI, Hiroaki NAKANISHI

    Oukan (Journal of Transdisciplinary Federation of Science and Technology)   1 ( 2 )   106 - 114   2007

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    A new method to analyze transformation processes of work procedures for on-site workersengaged in organizational activities, based on the concept of the four levels of contradictions, is proposed.Various contradictions, i.e., misfits between components of the activity system, might arise outof and propagate throughout their activities, then induce some sorts of changes in the procedures forthe better or for the worse. The proposed method, focusing on the negative aspects of such proceduretransformation, represents every phase of a changing activity in terms of a diagrammatic triangle ofEngestr¨om's activity theory, thereby visualizing the process of its changing with latent contradictionscan contribute to the in-depth analysis of organizational accidents. Within organizations, a humanplays variable roles as an agent that is an actor, an observer, a cognizer, and an interpreter, whichproduces a complex organizational behavior. In order to model this, we introduce the subject of C.S. Peirce's semiosis, which is any form of activity, conduct, or process that involves signs, includingthe production of meanings. The criticality accident occurred at the nuclear fuel conversion facilityof JCO (1999) is employed for an illustrative case to explain this method's capabilities.

    DOI: 10.11487/trafst.1.2_106

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  • Guideline of Human Interface Design for Rescue Robots

    Y. Yokokohji, T. Tubouchi, A. Tanaka, T. Yoshida, E. Koyanagi, F. Matsuno, S. Hirose, H. Kuwahara, F. Takemura, T. Ino, K. Takita, N. Shiroma, T. Kamegawa, Y. Hada, K. Osuka, T. Watasue, T. Kimura, H. Nakanishi, Y. Horiguchi, S. Tadokoro, K. Ohno

    Proceedings of IROS 2007 workshop   2007

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  • 知覚−行為間の協調構造に着目した操作技能の分析

    袴着純, 堀口由貴男, 中西弘明, 椹木哲夫

    第8回計測自動制御学会システムインテグレーション部門講演会講演論文集   1079 - 1080   2007

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  • 家電製品のオートメニューのユーザ介入型カスタマイズ手法

    南出洋子, 椹木哲夫, 中西弘明, 堀口由貴男

    計測自動制御学会関西支部平成18年度シンポジウム 若手研究発表会講演論文集   47 - 48   2007

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  • Effect of Embedded Operational Constrains on Coordination between Perception and Ambulation in Mobile Robot Teleoperation Environment

    HAKAMAGI JUN, HORIGUCHI YUKIO, SAWARAGI TETSUO

    Proceedings of the Fuzzy System Symposium   22nd   549 - 554   2006.9

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  • Safety analysis of systemic accidents triggered by performance deviation Reviewed

    Tetsuo Sawaragi, Yukio Horiguchi, Akihiro Hina

    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13   4690 - +   2006

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    Although autopilots are contributing much to reducing human workloads in aviation, they may induce a new type of aircraft accidents, i.e., "automation induced surprises". This paper proposes a systematic approach to this issue from a perspective of safety management. We employ Hollnagel's FRAM (Functional Resonance Accident Model) to figure out possible collapses in a series of operational procedures due to variable cockpit conditions. It is analyzed how the performance deviation in a particular operation does affect on the others, and when and where the expected scenario breaks down as a result of nonlinear interactions of multiple performance shaping factors.

    DOI: 10.1109/SICE.2006.315635

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  • Human-robot collaboration: Technical issues from a viewpoint of human-centered automation Reviewed

    SAWARAGI Tetsuo, HORIGUCHI Yukio

    Proceedings of the 23rd International Symposium on Robotics and Automation in Construction   388 - 393   2006

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  • Guidelines for human interface design of rescue robots Reviewed

    Yasuyoshi Yokokohji, Takashi Tubouchi, Akichika Tanaka, Tomoaki Yoshida, Eiji Koyanagi, Fumitoshi Matsuno, Shigeo Hirose, Hiroyuki Kuwahara, Fumiaki Takemura, Takao Ino, Kensuke Takita, Naoji Shiroma, Tetsushi Kamegawa, Yasushi Hada, Koichi Osuka, Taro Watasue, Tetsuya Kimura, Hiroaki Nakanishi, Yukio Horiguchi, Satoshi Tadokoro, Kazunori Ohno

    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13   1612 - +   2006

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    In this paper, we summarize the findings and know-hows in the individual developments and try to establish guidelines of human-interface design of rescue robots. These guidelines would be useful for the future development of rescue robots. Preliminary guidelines were set from some case studies of the DDT project and RoboCup Rescue. A trial towards the standardized interface is also shown.

    DOI: 10.1109/SICE.2006.315163

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  • Effects of Shared Communicational Modality to Joint Activity of Human Operator and Robot Autonomy Reviewed

    Yukio Horiguchi, Tetsuo Sawaragi

    INTELLIGENT AUTONOMOUS SYSTEMS 9   903 - 912   2006

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    The authors have proposed a formal approach to designing effective human-machine interaction channels, i.e., shared communicational modalities, between a human operator and a machine autonomy. In this framework, Kirlik's classification scheme of information types defined as Generalized Lens Model is utilized for distinguishing information resources in the target system from the perspective of their proximity to both human and machine agents' perception and action. The shared communicational modalities are then embodied virtually by imposing some mutual constraints among their respective [PP,PA] (i.e., proximal for both perception and action) variables. This paper evaluates the proposed interaction design after an actual implementation of such modalities into a shared-control environment, especially focusing on the mutual relationship of those agents' cue-utilization strategies as well as their joint task performances.

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  • Effects of Robotic Arm Orthosis Behaviors to User's Motion Structure Qssessment Using Arm Trajectory Profilesualitative A Reviewed

    Yukio Horiguchi, Satoshi Tsukamoto, Hiroyuki Ono, Tetsuo Sawaragi, Masahiro Sato

    INTELLIGENT AUTONOMOUS SYSTEMS 9   883 - 890   2006

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    This paper presents a motion pattern analysis to examine the effects of the robotic power assisting behaviors to the user&apos;s motion structures. The basis of the analysis is placed on how much the user&apos;s original motion patterns are deformed by the intervention of the robotic system in terms of motion trajectory shapes. As to the one-handed lift-weight motion the developed robotic orthosis is intended for, spontaneous human motions are confirmed as specified by the bell curves of the angular velocity at the elbow joint, analogous to the arm trajectories in point-to-point movements. Using this frame of reference, those deformed motion structures that would fluctuate due to the purely passive, impedance controlled orthosis behaviors, are demonstrated by the comparative experiments. In addition, based on a hypothesis that the power assisting behaviors at the appropriate timing would keep the user&apos;s spontaneous motion structure, mother experiment is conducted to reveal that attuned orthosis motions led their collaborative motion structure to the same with the user&apos;s original and unforced motion patterns in terms of their shapes.

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  • Editing and distributing human skills within community via fragmentary annotations on image data Reviewed

    SAWARAGI Tetsuo, HORIGUCHI Yukio, KURODA Yuji

    Proceedings of the 9th IFAC Symposium on Automated Systems Based on Human Skill and Knowledge   ( Part 1 )   172 - 177   2006

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  • An estimation method of possible mode confusion in human work with automated control systems Reviewed

    Yukio Horiguchi, Ryuichi Fukuju, Tetsuo Sawaragi

    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13   5305 - +   2006

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    This paper proposes anew method to estimate possible confusions human users may make on the current mode of an automated control system that they are required to work with. The proposed method takes its stand on a philosophy that the users depend on the system's response behaviors to some extent as valuable cues to sense its state, and thus that different modes in which the system exhibits the same response behaviors to a particular user operation are hard to be distinguished by them. All the modes are encoded into vector forms from the perspective of their "input-output relations," and then the distances among the vectors are utilized as indexes to estimate the likelihoods of mode confusions. The idea is validated through the experiments using a driving simulator with Adaptive Cruise Control (ACC) implemented, in which drivers are queried as to the current mode of the ACC system to collect the probability distributions of mode confusion to be compared with what has been estimated. In addition, it is also examined whether purposefully designed input-output relations can contribute to the improvements of the drivers' awareness of modes.

    DOI: 10.1109/SICE.2006.315649

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  • A teaching system fostering expertise for the tuning of printed circuit board inspection systems Reviewed

    Hirotaka Wada, Akira Nakajima, Tetsuo Sawaragi, Yukio Horiguchi

    IECON 2006 - 32ND ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS, VOLS 1-11   2066 - +   2006

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    Japanese manufacturing companies are now facing a real shortage of skilled workers who have expertise on production facilities and instruments. Automating their tasks by machine may be one promising solution to this problem. However, it is not enough. The future production facilities should be designed so that it can develop and nurture workers' qualities and skills to overcome the "deskilling" problem caused by automation. This paper deals with the printed circuit board inspection system utilized in manufacturing sites, and we develop an automated teaching system for tuning the parameters of the inspection system so that it can work being customized to particular site conditions. This tuning task has been left to the expertise of the skilled system engineers. However, our developing teaching system enables non-expert users to achieve accurate tuning equivalent to an expert's level. We show that our teaching system can improve the accuracy of the tuning task drastically. Moreover, we present our system can encourage non-experts to enhance their skills for the tuning, which is verified by investigating into the verbal expressions on their expertise that is analyzed by usage of the fuzzy structural modelling technique. The result shows that a non-expert user's knowledge cultivated by usage of our teaching system can change to the one similar to what an expert has.

    DOI: 10.1109/IECON.2006.347641

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  • Design of Human Interface for Mobile Robot Teleoperation System Using Kinesthesis to Support User's Orientation

    Hakamagi Jun, Horiguchi Yukio, Sawaragi Tetsuo

    Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers   6   18 - 18   2006

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    DOI: 10.11509/sci.SCI06.0.18.0

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  • Study on Detection of User Intention for Power Assist Orthosis for Flexion and Extension of Elbow Joint

    HORIGUCHI Yukio, ONO Hiroyuki, TSUKAMOTO Satoshi, SAWARAGI Tetsuo, SATO Masahiro

    Proceedings of the JSME Symposium on Welfare Engineering   2005   151 - 153   2005.12

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    This paper presents a research work to develop a power assist orthosis for supporting care-givers' hard physical tasks such as moving bedridden patients and changing their postures for nursing purposes. A prototype robotic orthosis, which was intended for assisting flexion and extension of the elbow joint during lift-weight motions, has been developed as a testbed for those discussions. Realizing natural and unforced physical assists requires directability of the orthosis for user intention as one of the most important dimensions for their collaboration. Concerning this issue, basic experiment and analysis were performed to explore plausible configurations of load sensors in the developed orthosis, which determine the communication channels from a user to the orthosis.

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  • Analysis of User's Motion Deformed by Mechanical Power Assist Based upon Behavioral Isomorphism

    TSUKAMOTO Satoshi, ONO Hiroyuki, HORIGUCHI Yukio, SAWARAGI Tetsuo, SATO Masahiro

    Proceedings of the JSME Symposium on Welfare Engineering   2005   155 - 158   2005.12

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  • Semiotic Approach to Collaborative Conversation Modeling for Establishing Sociality between Interface Agent and Human User

    Sawaragi, Tetsuo, Horiguchi, Yukio

    Analysis, design and evaluation of human-machine systems 2004 (HMS'04): a proceedings volume from the 9th IFAC/IFIP/IFORS/IEA Symposium, Atlanta, Georgia, USA, 7-9 September 2004   2004   51   2005

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  • Effects of probing behaviors to adapt machine autonomy in shared control systems Reviewed

    Y Horiguchi, T Sawaragi

    INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOL 1-4, PROCEEDINGS   1   317 - 323   2005

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    This paper addresses the adaptability in the human-machine collaboration as a necessary element for the adequate coordination between human and mechanized control. Currently, all efforts to resolve any mismatch between humans and machines are charged only to the human operators as machines have no ability to deal with and adapt to variable behaviors of their human partners. Concerning this issue, inspired by our human proactive actions to the external world, the authors advocate introducing proactive agency into machine autonomies so that they can probe or sound out the partner's covert judgments for their adaptation. This behavioral model is implemented into a simulated shared control environment, in which both a human operator and a machine autonomy can control the behavior of a mobile robot. This testbed environment is utilized to investigate their joint activity and then discuss feasibility of the co-adaptive approach towards the well-coordinated collaboration by the human operator and the machine autonomy.

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  • Skill Analysis of Search Behavior via Remote-Controlled Robot from Ecological Perspective

    HORIGUCHI Yukio, SAWARAGI Tetsuo, KUWATANI Masayuki

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   17 ( 4 )   441 - 449   2005

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    This paper examines the operational skills for the search activity via a remote-controlled robot to find out some hidden objects under debris, which simulates a robotic surrogate system for human rescuers. Our skill analysis revealed that the accurate and effective navigation of the robot requires the adequate view control of the camera. This operational strategy enables the parallel execution of the robotic ambulatory movement and the accurate environment recognition, ensuring the necessary cognitive resources available or externalized for human epistemic actions. Based upon the analyses, we discuss the necessary considerations to mitigate the cognitive restrictions imposed by the mechanical systems utilized and what encourages the naturalistic skill performance by the human operators, in terms of their ecological perspectives.

    DOI: 10.3156/jsoft.17.441

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  • Analysis of search activity via remote robot towards natural and effective human-machine collaboration design Reviewed

    HORIGUCHI Yukio, SAWARAGI Tetsuo, KUWATANI Masayuki

    Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems   2   1077 - 1082   2004.9

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    DOI: 10.1109/IROS.2004.1389540

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  • Skill Analysis of Search Behavior via Remote-Controlled Robot from Ecological Perspective

    HORIGUCHI YUKIO, SAWARAGI TETSUO, KUWATANI MASAYUKI

    ファジィシステムシンポジウム講演論文集   20th   394 - 397   2004.6

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  • Development of human-machine interface in disaster-purposed search robot systems that serve as surrogates for human Reviewed

    X.-Z. Zheng, K. Tsuchiya, T. Sawaragi, K. Osuka, K. Tsujita, Y. Horiguchi, S. Aoi

    Proceedings of IEEE International Conference on Robotics and Automation   ( 1 )   225 - 230   2004

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    DOI: 10.1109/ROBOT.2004.1307155

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    Other Link: https://dblp.uni-trier.de/db/conf/icra/icra2004-1.html#ZhengTSOTHA04

  • AGENT-BASED USABILITY DESIGN OF ELECTRONIC CHECKLIST IN FLIGHT-DECK FOR COCKPIT RESOURCE MANAGEMENT

    Sawaragi, Tetsuo, Horiguchi, Yukio, Taguchi, Takayuki

    A Proceedings Volume from the 8th IFAC Symposium on Automated Systems Based on Human Skill and Knowledge 2003   141 - 146   2004

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  • Knowledge management framework to share technical know-how in organization Reviewed

    Y Horiguchi, T Sawaragi, Y Kaneda, A Nakajima

    2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7   2   1436 - 1441   2004

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    This paper presents a new concept of the knowledge management framework for sharing technical know-how in an engineer community, in which latent connections among technical keywords are utilized to search some work reports for reference. The framework is composed of two different semantic networks with spreading activation mechanisms: the Query Extension Network and the Query Suggestion Network. Each of them represents a different aspect of connections among words. The former network is intended to extend the search for a user's query through its periphery based upon the associations of words in their work domain ontology. The latter is leveraged to present the users with other possible keywords for their next queries, which might help their exploration advance to what they want. The interaction of both functions through search activities by individual users is expected to provide effective navigations for their data explorations in the forest of expertise.

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  • Co-adaptation to facilitate naturalisitc human involvement in shared control system Invited Reviewed

    Y Horiguchi, T Sawaragi

    Recent Advances in Simulated Evolution and Learning   2   769 - 788   2004

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    Shared control is a challenge to combine and capitalize on both advantages of human and mechanized automatic controls. But any interventions by a machine-autonomy may introduce some kind of collapses in the isomorphism between the two different interaction fields of the human operation and of the system performance, which is necessary for the naturalistic involvement of a human operator with the system control. On this issue, we focus on the adaptability for the machine-autonomy to coordinate the mapping between the two fields to facilitate the human feeling of direct involvement with the system control, as well as the human adaptation (i.e., co-adaptation). In this chapter, we investigate their joint activity in a shared control of a virtual robot teleoperation environment, and then discuss the effect of the machine intervention in terms of the system operationality for human operators. The feasibility of the co-adaptive approach towards the well-coordinated relationship between a manipulator and a manipulatee is also examined based upon the experimental result with a simple adaptation algorithm implemented into the machine-autonomy..

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  • Perception and Meta-Evaluation of Human-Automation Collaboration Using Lens Model

    SAWARAGI Tetsuo, HORIGUCHI Yukio

    ファジィシステムシンポジウム講演論文集   19th   747 - 750   2003.9

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  • Co-Adaptation and Co-Creation of Human and Automation : Socially-Centered Automation

    SAWARAGI Tetsuo, HORIGUCHI Yukio

    Correspondences on Human Interface   5 ( 2 )   41 - 48   2003.5

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  • Toward coordinated decision between humanand machine-autonomies through their proactive agency of cognition

    Y Horiguchi, T Sawaragi

    SICE 2003 ANNUAL CONFERENCE, VOLS 1-3   1520 - 1525   2003

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    This paper proposes a framework for a machine agent to constantly adapt its behavior toward the naturalistic collaboration with a human operator, that is inspired by the proactive aspect of human cognition. We introduce the proactive agency into the adaptation process of the machine agent to get more information about the partner's internal state that is difficult to understand under the impoverished conditions where only passive information is available, and to establish their mutual understandings. As an experimental testbed for our proposing model, some experiments using a simulated robot teleoperation environment were prepared to consider the collaboration between a human operator and an autonomous tele-operated robot.

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  • Interface Design and Interaction Analysis for Human-Automation Collaboration.

    SUZUI YASUHIRO, SAWARAGI TETSUO, HORIGUCHI YUKIO

    知能システムシンポジウム資料   29th   301 - 306   2002.3

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  • Tuning of Multiple Vision Sensors in Product Inspection System based upon Organizational Learning Model.

    SAWARAGI TETSUO, HORIGUCHI YUKIO, FUJITA YOSHIFUMI

    知能システムシンポジウム資料   29th   265 - 270   2002.3

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  • Meta-evaluation of human-agent interactions using lens model analysis

    T Sawaragi, Y Horiguchi, Y Suzui

    SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5   1672 - 1677   2002

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    In this paper, instead of taking conventional artificial intelligence approaches for an interface agent, we propose a new designing method using the ecological approach, since we would like to stress the importance of the agent's ability to create reciprocal relationships with the human user (i.e., a human user and an interface agent). Based on this analysis, then, we designed an agent that can infer the coordination level with a particular human, identify his/her skill levels, and adjust the level of shared situation awareness with its human partner.

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  • Naturalistic Human-Robot Collaboration Mediated by Shared Communicational Modality in Teleoperation System. Reviewed

    HORIGUCHI Yukio, SAWARAGI Tetsuo

    Proceedings of the 6th International Computer Science Conference on Active Media Technology   24 - 35   2001.12

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    DOI: 10.1007/3-540-45336-9_7

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  • Ecological Expert: Quantifying Skill Development Process Using Lens Model.

    SAWARAGI TETSUO, HORIGUCHI YUKIO, ISHIZUKA MOTOI

    ファジィシステムシンポジウム講演論文集   17th   131 - 134   2001.9

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  • Design of shared communicational modality for naturalistic human-robot collaboration in teleoperating environment Reviewed

    Y Horiguchi, T Sawaragi

    KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2   69   854 - 858   2001

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    This paper presents a new style of human-robot collaboration in a teleoperating environment where the robot has the autonomy to control its behavior. Our model provides the shared communicational modality between the human operator and the robot autonomy to promote their mixed-initiative interactions, This paper describes the results of experiments using our developing system to evaluate our model. and discusses the interactions between the two autonomies based upon the Lens model framework known as a method for-judgment analysis.

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  • Comparative analysis of ecological expert and fuzzy controller using lens model Reviewed

    T Sawaragi, Y Horiguchi, M Ishizuka

    10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3   3   1199 - 1202   2001

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    This work presents how the expert human controller differs from fuzzy controller. Definition of ecological experts is to investigate into the relations between what cues in the task environment the human expert is actually utilizing in their judgments and how those cues are valid for the task (i.e., cue validity and ecological validity). We introduce a Brunswik's lens model for analyzing the interactions between the human expert controller and the control task environment. The task is to steer a large ship having complex dynamics to let it pass through a number of gates, whose simulator is constructed on PC. We gather a collection of interaction data from a particular operator, whose skill levels are initially very poor but are later gradually improve as he experiences trials.

    DOI: 10.1109/FUZZ.2001.1008871

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  • Organizational learning model of cooperative distributed sensing for automation production line Reviewed

    T. Sawaragi, Y. Horiguchi, Y. Fujita

    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics   2   1019 - 1024   2001

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  • Analyzing Distributed Cognition in a Field of Co-Adaptation between Human and Agent Using Lens Model.

    SAWARAGI TETSUO, HORIGUCHI YUKIO, SUZUI YASUHIRO

    ファジィシステムシンポジウム講演論文集   16th   655 - 658   2000.9

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  • Ecological Interface Design for Robot Tele-Operation Based on Mixed-Initiative Interaction.

    AKASHI GO, HORIGUCHI YUKIO, SAWARAGI TETSUO

    知能システムシンポジウム資料   27th   155 - 160   2000.3

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  • Naturalistic human-robot collaboration based upon mixed-initiative interactions in teleoperating environment Reviewed

    Y Horiguchi, T Sawaragi, G Akashi

    SMC 2000 CONFERENCE PROCEEDINGS: 2000 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOL 1-5   2   876 - 881   2000

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    This paper presents a method for a design of a robot teleoperation system based upon their mixed-initiative interactions to realize the naturalistic collaboration between a human operator and a mobile robot with its autonomy At first we analyze a robot-teleoperating environment and classify its parameters into the four different classes of information after the Kirlik's Generalized Lens Model; framework: whether the operator and/or the robot can directly perceive the information or not, and whether they can directly manipulate the information or not. Based on this analysis, we develop an ecological interface system adopting a force-feedback-joystick as a device providing with a shared modality between a human operator and a robot's autonomy.

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  • Human-robot collaboration within a virtual space using behavioral task-morphologies Reviewed

    HORIGUCHI Yukio, SAWARAGI Tetsuo

    Proceedings of 1999 IEEE International Conference on Systems, Man and Cybernetics   1   756 - 761   1999.10

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    DOI: 10.1109/ICSMC.1999.814186

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  • Analysis of Task Morphologies for Networking Behavioral Skills via Virtual Reality Reviewed

    SAWARAGI Tetsuo, HORIGUCHI Yukio

    Proceedings of the 8th Workshop on Enabling Technologies Infrastructure for Collaborative Enterprises   11 ( 3 )   200 - 207   1999.6

  • Morphology of Task Structures of Human Operator Teleoperating Mobile Robot via Virtual Reality Space.

    HORIGUCHI YUKIO, SAWARAGI TETSUO

    知能システムシンポジウム資料   26th   19 - 24   1999.3

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  • Detecting Morphology of Task Structures Using ART Model for Teleoperating Mobile Robot via Virtual Reality Space

    Horiguchi, Y, Sawaragi, T

    SICE-ANNUAL CONFERENCE-   477 - 478   1999

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  • Interdependence between Diversity of Instruction Environment and Character-Preserving Strategy of an Evolutional Behavior-Based Robot.

    HORIGUCHI YUKIO, SAWARAGI TETSUO, SHIOSE TAKAYUKI, KATAI OSAMU

    知能システムシンポジウム資料   25th   65 - 70   1998.3

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  • Character-preserving and diversity-maintaining strategy of behavior-based robot under different training environments Reviewed

    T Sawaragi, Y Horiguchi, T Shiose, O Katai

    1998 JAPAN-U.S.A. SYMPOSIUM ON FLEXIBLE AUTOMATION - PROCEEDINGS, VOLS I AND II   761 - 767   1998

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:INSTITUTE SYSTEMS, CONTROL & INFORMATION ENGINEERS  

    This paper discusses about character-preserving and diversity-maintaining strategies for an evolutionary behavior-based robot that is instructed to behave according to two different training environments: a whole learning method and a partial learning method. We implement a behavior-based robot by genetic programming (GP), whose evolution is varied by installing Angeline and Pollack's module acquisition (MA) processes. We discuss about how the different training environments affect a robot's experiencing diversity of an environment and what the appropriate character-preserving and diversity-maintaining strategy is.

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Books

  • Artifact Design

    Tetsuo Sawaragi, Atsushi Matsubara, Hiroshi Kawakami, Yukio Horiguchi( Role: ContributorChapter 7)

    Kyoritsu Shuppan Co., Ltd.  2018.4  ( ISBN:9784320006027

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    Total pages:304   Language:Japanese   Book type:Scholarly book

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  • Human Interface and the Management of Information. Information and Knowledge Design and Evaluation Lecture Notes in Computer Science, Volume 8521

    HORIGUCHI Yukio, AN Shinsu, SAWARAGI Tetsuo, NAKANISHI Hiroaki( Role: ContributorMenu Hierarchy Generation Based on Syntactic Dependency Structures in Item Descriptions)

    Springer  2014  ( ISBN:9783319077307

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    Responsible for pages:157-166   Language:English   Book type:Scholarly book

    The present paper proposes a procedural design method which makes use of dependency structures underlying menu item descriptions in order to generate well-structured and easily-learned menu hierarchies. A dependency structure captures syntactic relations among conceptual units that constitute a natural language description of what function the corresponding menu item stands for. The proposed method classifies computerized system functions after dependency structure prototypes and then serializes variable elements to be specified in each function class after phrase structure analysis. Its clear and consistent policy provides generated menu systems with high communicability to users. The effectiveness of the method is empirically investigated.

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  • スキルと組織

    椹木 哲夫ほか( Role: Contributor作業ノウハウと失敗知識の共有を支援する事例集活用技術)

    国際高等研究所  2011.3 

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    Responsible for pages:229-242   Language:Japanese   Book type:Scholarly book

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  • Co-adaptation to Facilitate Naturalistic Human Involvement in Shared Control System, (Kay Chen Tan, et al. eds.) Recent Advances in Simulated Evolution and Learning, Chapter 41, pp.769-788

    HORIGUCHI Yukio, SAWARAGI Tetsuo( Role: Contributor)

    World Scientific  2004.4 

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    Language:English   Book type:Scholarly book

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MISC

  • Making Understanding Visible for Persuasive UI Design: User Interface Supporting Motion Point Teaching in Off-line Industrial Robot Programming Invited

    Yukio Horiguchi, Soichiro Ishikawa

    Journal of Human Interface Society   24 ( 3 )   4 - 9   2022.8

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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)   Publisher:Human Interface Society  

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  • Cognitive Work Analysis of Operation and Maintenance Control of Automated Manufacturing Processes Invited

    HORIGUCHI Yukio

    Management Systems: Journal of Japan Industrial Management Association   22 ( 2 )   72 - 77   2012.7

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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)   Publisher:Japan Industrial Management Association  

    CiNii Books

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  • Semiosis of Teaching Operations to Industrial Robot Invited

    HORIGUCHI Yukio, MIZUYAMA Hajime

    Systems, Control and Information   54 ( 11 )   405 - 410   2010.11

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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)   Publisher:Institute of Systems, Control and Information Engineers  

    CiNii Books

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    Other Link: http://hdl.handle.net/2433/153343

Presentations

  • Gaze Behavior Analysis and Information Design for Decision Support in Train Operation Invited

    Yukio Horiguchi

    2024.6  Science Council of Japan

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    Event date: 2024.6

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:Tokyo   Country:Japan  

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  • Exploring the Role of Notetaking Strategies in Listening-to-Summarize Tasks

    Mikako Nishikawa, Yukio Horiguchi, Guoxing Yu

    The 61st JACET International Convention  2022.8  The Japan Association of College English Teachers

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    Event date: 2022.8

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Online   Country:Japan  

    Success in higher education, regardless of language, requires the ability to incorporate ideas from independent sources. Recently, there is a growing trend towards assessing the English abilities of learners of English as a second language (L2) to summarize different sources (e.g., texts, graphs, images, and lectures). Past studies have also shown that the academic success of L2 learners depended on listening skills during class hours (Coakley & Wolvin, 1997; Ferris, 1998; Volgely, 1998). Listen-to-summarize tasks are more complex than listening alone because it requires a combination of skills such as speaking or writing. To date, there are few empirical studies related to listen-to-summarize tasks in L2 contexts (Wang & Yu, 2018; Rukthong & Brunfat, 2020). This small empirical study explores the role of notetaking strategies during the listen-to-summarize tasks by comparing participants’ processes of notetaking for both written and spoken summaries using the same test format as the Pearson Test of English Academic (PTE Academic). In a sequential explanatory design, we collected behavioral data from university students (n=10), had notetaking strategy questionnaires, and conducted stimulated-recall interviews after reviewing their eye-tracking recordings. We analyzed these data based on the higher and lower-order cognitive processing of the participants (Rukhong & Brunfat, 2020). We will discuss the extent to which notetaking strategies in listening integrated tasks can predict effective summaries from weak ones based on the preliminary findings of this study.

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  • Numerical Simulation of Complex Supply-Chain Systems with an Extended Model of Functional Resonance Analysis Method

    Takayuki Hirose, Tetsuo Sawaragi, Yukio Horiguchi

    2018.5 

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    Event date: 2018.5

    Venue:Kurashiki, Okayama, Japan  

    Supply chains work with involving many factors: human factors; technical factors; working environment; and organization factors, which makes predictions of behavior of those systems. To know their characteristics, we extend FRAM: Functional Resonance Analysis Method based on an idea of fuzzy reasoning and cellular automaton. We then carry out a case study with the proposed method to analyze the operation of a steel production line; we simulate how variabilities existing locally in the system propagate to the rest and influence its global behavior.

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  • Double-Looped Safety Analysis for Organizational Accidents Combining Activity Theory and Functional Resonance Analysis Methods and its Application to Railway Incidents

    Keisuke Fukuda, Tetsuo Sawaragi, Yukio Horiguchi

    2018.5 

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    Event date: 2018.5

    Venue:Kurashiki, Okayama, Japan  

    Mechanical devices that can extend the range of activities conducted by human workers have been introduced to industrial workplaces. Work procedures using these devices are conducted with certain objectives and rules, or "norms." However, there could be a change in "norms" themselves due to events and decision-making occurring during organizational activities. Changes in "norms" do not necessarily proceed logically because differences in stakeholders' experiences and norm conflicts are inevitable. In this study, we at first focus on the activity theory in which human behavior is assumed to be a collective activity system mediated by artifacts such as tools and standards, and on a partial change process in work procedures, which might be propagated and superimpose throughout work activities. We also introduce the method of functional resonance analysis (FRAM) for investigating how work procedures change according to unexpected variabilities in work qualities and environmental fluctuations caused by the evolution of organizational norms. Based on these ideas, we propose a novel method of descriptive safety analysis by combining the two different dynamics in the evolution of work procedures– macroscopic organization norms and microscopic workprocedures.

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  • 歩行者事故における危険認知地点の特定に関する知見

    岡本 智宏, 椹木 哲夫, 堀口 由貴男, 長見 祐暉

    日本法科学技術学会  2017.11 

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    Event date: 2017.11

    Venue:東京都  

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  • Monitoring of respiratory cycles utilizing sensors on sleeping mat

    Douglas E. Dow, Yukio Horiguchi, Yoshiki Hirai, Isao Hayashi

    American Society of Mechanical Engineers  2017.11 

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    Event date: 2017.11

    Venue:Tampa, Florida, USA  

    Sleep apnea and other sleeping disorders impair health and quality of life. Polysomnography is the primary method for diagnosis, but involves cost and utilization of medical resources, which limit access for potential patients. The clinical environment and sensors of polysomnography hinder typical sleep patterns in many individuals, thus degrading the analysis. Sensors suitable for at-home monitoring of sleep have recently become available. At-home monitoring of sleep may improve diagnosis due to increased familiarity for sleeping and ability for multiple sleep sessions, as well as lowering the cost. However, more robust algorithms would be needed to partially compensate for the less controlled conditions and sensor systems. A mat with a grid of force sensors has become available. This study was developing a state machine algorithm to analyze the activity at multiple force sensors of a mat while the subject was lying in supine position on the mat and undertaking natural, rhythmic respiration. The algorithm monitored the subset of active sensors to detect potential respiratory cycles. The similarity of the timing of the detected cycles between different sensors was used to determine the overall pattern of respiratory activity for the subject. Reliable detection of timing for respiratory cycles would be useful for detection of sleep apnea events.

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  • ヒューマンマシンシステム設計に対するエコロジカルアプローチと作業分析

    堀口 由貴男

    計測自動制御学会社会システム部会研究会  2017.8 

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    Event date: 2017.8

    Venue:東京都  

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  • Do Psychological Effects of Lying Show Up in Changes in Pupil Diameter?

    Yukio Horiguchi, Hibiki Miyano

    2023.12 

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    In this paper, we hypothesize that, if lying accompanies some psychological disturbance, the pupil diameter at that time would be larger than otherwise. We conducted an empirical study measuring the pupil response of respondents in an experimental task that simulated the Concealed Information Test. As a result of the experiment, although statistical significance was not recognized, it was suggested that the amount of pupil dilation in response to critical stimulus questions, where there is a need to intentionally answer falsely, was larger than that for non-critical stimulus questions.

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  • Visualization and Analysis of Differences in Walking Motions with Gaussian Process Dynamical Model

    Yukio Horiguchi, Kotaro Tokuhisa, Daigo Hiruma

    Japan Society for Fuzzy Theory and Intelligent Informatics  2023.9 

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    Venue:Villas des Mariages Karuizawa  

    Locomotive syndrome is the decline in mobility function due to aging-related deterioration of the locomotor system, which increases the risk of falling. This study aims to analyze and quantify behavioral components associated with falling risk by measuring daily walking motions. We propose a walking motion analysis method based on the Gaussian Process Dynamics Model (GPDM) to detect changes in body usage. This method compresses gait motion data into a low-dimensional latent variable model using GPDM and visualizes the differences in body movements caused by behavioral conditions through the model's output.

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  • Harmonized Fitness : Research Results on Health Smart Network with Ensemble of Exercise and Music

    Isao Hayashi, Michiyuki Hirokane, Yukio Horiguchi, Masataka Tokumaru, Arash Yazdanbakhsh

    Japan Society for Fuzzy Theory and Intelligent Informatics  2023.9 

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    Venue:Villas des Mariages Karuizawa  

    Recently, the Cabinet Office is advocating the concept of ”Super City” that realize new lifestyles and businesses for fundamentally changing the state of society through AI. The authors have established a research unit of ”Health Smart Network” at Research Institute for Socionetwork Strategies (RISS), Kansai University as a research base to meet these social demands. Specifically, the purpose of this research unit is to make health promotion services smarted with ”eHealth + AI”, create new social communication, and contribute to extending healthy life expectancy and sustaining a healthy life. In this presentation, we outline the concept of Kansai University’s ”Health Smart Network” and discuss the progress and results of various research on the theme of smart health promotion.

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  • A Study on Anomaly Detection from Respiratory Motion Curves Based on Time-series Clustering Method

    Jing Li, Yukio Horiguchi

    Japan Society for Fuzzy Theory and Intelligent Informatics  2023.9 

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    Venue:Villas des Mariages Karuizawa  

    In polysomnography, a sleep technologist visually analyzes a time series of respiratory movements, i.e., the respiratory curve, measured with a RIP belt or other equipment to record abnormal respiratory events such as apneas and hypopneas. The present study aims to develop a method for detecting peculiar patterns in the respiratory curve to automate this analysis process. Our approach here is to divide the respiratory curve into partial time series using Singular Spectrum Transformation, then classify them based on the similarity of the time series patterns to identify essential features that characterize abnormal respiratory motions. This paper presents our investigation into applying the respiratory motion patterns obtained by a time series clustering method to detect abnormal respirations.

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  • A Comparison of Time-series Clustering Methods for Anomaly Detection from Respiratory Motion Curves

    Yukio Horiguchi, Jing Li

    The Society of Instrument and Control Engineers  2023.3 

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    In polysomnography, sleep lab technicians visually analyze respiratory motion time series, i.e., respiratory curves, measured with a RIP belt or other equipment to record abnormal respiratory events such as apneas and hypopneas. This study aims to develop a method to detect peculiar patterns in respiratory curves to automate this analysis process. The approach of the proposed method is to divide a respiratory curve into partial time series using Singular Spectrum Transformation, then classify them based on the similarity of the time-series patterns and identify the parts that represent abnormal respiratory motions. In this paper, we compare four time-series clustering methods of k-means(Euclidean), k-means(DTW), k-means(Soft-DTW), and k-Shape for the classification process of respiratory curve segments. The experimental results suggest that classifying respiratory curve segments requires time-series distance measures thatallow for differences in period and phase but not in scale.

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  • Exploring the role of listening comprehension in listening-to-summarize tasks: Preliminary Findings International coauthorship International conference

    Mikako Nishikawa, Yukio Horiguchi, Guoxing Yu

    The 42nd Language Testing Forum  2022.11 

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    Language:English   Presentation type:Oral presentation (general)  

    Country:United Kingdom  

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  • Ecological Interface Design for Shared Control of Tandem Mills (Part 2)

    Yukio Horiguchi

    The Iron and Steel Institute of Japan  2022.9 

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    Venue:Fukuoka  

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  • Harmonized Fitness: Introduction of Research Topics on Health Smart Network with Ensemble of Exercise and Music

    Isao Hayasi, Michiyuki Hirokane, Yukio Horiguchi, Masataka Tokumaru, Arash Yazdanbakhsh

    Japan Society for Fuzzy Theory and Intelligent Informatics  2022.9 

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    Venue:Online  

    Recently, the Cabinet Office is advocating a concept of "Super City" that realize new lifestyles and businesses for fundamentally changing the state of society by AI. The authors have established a research unit of "Health Smart Network" at Research Institute for Socionetwork Strategies (RISS), Kansai University as a research base to meet these social demands. Specically, the purpose of this research unit is to make health promotion services smarted with "eHealth + AI", create new social communication, and contribute to extending healthy life expectancy and sustaining healthy life. In this presentation, we will outline the concept of the research unit of "Health Smart Network" and introduce various research topics on the theme of smart health promotion for the progress of future research.

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  • Characterizing Differences in Walking Motions with Conditional Gaussian Process Dynamical Model

    Yukio Horiguchi, Daigo Hiruma, Kotaro Tokuhisa

    Japan Society for Fuzzy Theory and Intelligent Informatics  2022.9 

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    Venue:Online  

    As motor function improves or declines, the way to control the body changes even for the same class of actions. To investigate what parts of the body movements characterize such changes, it is practical to summarize a high-dimensional time series of body movements into a low-dimensional time series by using the information on the coordinated behavior across different body parts. Significant differences in the summarized motion series should likely originate from characteristic differences in body control. In this study, we apply a conditional Gaussian Process Dynamic model to walking motions and propose a method to analyze the characteristics of body motions based on the dynamics of latent variables derived from a high-dimensional body movement time series.

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  • Extraction and Analysis of English Learners’ Eye-Gaze Patterns in Reading Using Change Point Detection Algorithm

    Yukio Horiguchi, Haruna Kawai, Mikako Nishikawa, Hiroaki Nakanishi, 堀口 由貴男

    Human Interface Society  2022.8 

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    Venue:Osaka  

    In order to gain insight into the cognitive processes that characterize the proficiency level of English as a Second Language (L2), this study experimented with measuring the eye-gaze point of L2 learners at different proficiency levels while reading English text. We applied the Singular Spectral Transformation, a change-point detection algorithm, and clustering method to the eye-gaze point time series to extract the characteristic patterns of eye-gaze movements. The analysis results suggest that the occurrence rate of particular eye-gaze patterns depends on the learners’ proficiency level.

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  • Harmonized Fitness: Health Smart Network with Ensemble of Exercise and Music

    Isao Hayasi, Michiyuki Hirokane, Yukio Horiguchi, Masataka Tokumaru, Arash Yazdanbakhsh

    Japan Society for Fuzzy Theory and Intelligent Informatics  2021.9 

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    Venue:online  

    Recently, due to the widespread effects of Covid-19 infection, social communication, such as person-to-person, person-to-society, or social connection, is being diluted. As one solution to the problems, it is expected to create new social communication utilizing advanced technologies such as ICT and AI. On the other hand, the Cabinet Office is advocating a concept of "Super City" that realize new lifestyles and businesses for fundamentally changing the state of society by AI. The authors have established a research unit of "Health Smart Network" at Research Institute for Socionetwork Strategies (RISS), Kansai University as a research base to meet these social demands. Speci cally, the purpose of this research unit is to make health promotion services smarted with "eHealth + AI", create new social communication, and contribute to extending healthy life expectancy and sustaining healthy life. In this presentation, we will outline the concept of the research unit of "Health Smart Network" and introduce various researchs on the theme of smart health promotion for the progress of future research.

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  • Sleep Apnea Detection Based on Respiratory Curve Segmentation by Singular Spectrum Transformation

    Yukio Horiguchi, Hiroto Takahashi, Toru Murase, Hiroaki Nakanishi, Tetsuo Sawaragi

    Japan Society for Fuzzy Theory and Intelligent Informatics  2021.9 

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    Venue:online  

    This paper proposes a data analysis method for detecting abnormal breathing events during sleep from respiratory curves. The proposed method segments a respiration time series using Singular Spectral Transformations and classifies resulting partial respiratory curves based on their features consisting of autoregressive coefficients and respiratory amplitude ratios. Applying it to a polysomnography dataset confirmed that the proposed method could extract temporal patterns characteristic of respiratory abnormalities such as apnea and hypopnea.

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  • Evaluating Legibility of Intent-Conveying Handover Motion with Gaussian Process Dynamical Model

    Soichiro Ishikawa, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi, Kenta Fujimoto, Tatsuya Nagatani, Marina Kousaka

    The Society of Instrument and Control Engineers  2020.11 

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  • A Multi-Modal Topic Model for Extraction of Health Condition Types from Specific Health Guidance Documents

    Masaki Takeda, Yukio Horiguchi, Tatsuyoshi Ikenoue, Yukari Yamada, Shingo Fukuma, Tetsuo Sawaragi, Hiroaki Nakanishi

    The Society of Instrument and Control Engineers  2020.11 

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  • Off-policy Deep Reinforcement Learning with Distribution Matching Imitation

    Ryota Hirobuchi, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    The Society of Instrument and Control Engineers  2020.11 

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  • Data Dimensionality Reduction by Introducing Structural Equation Modeling to Machine Learning Problems

    Jarui Li, Yukio Horiguchi, Tetsuo Sawaragi

    The Society of Instrument and Control Engineers  2020.9 

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    Venue:Online  

    Structural Equation Modeling (SEM) is a statistical analysis technique for fitting networks of constructs to data. The strength of extracting latent factors and estimating causal relations among them makes it accessible to analyze the structure of social problems, such as those around the economy, healthcare, and ecology. The present paper introduces SEM to the machine learning field for reducing the number of data dimensions. Too large dimensionality of the input data increases the computational load to build machine learning models. The proposed method utilizes SEM to sift variables and sort out relations between factors. The results show that the proposed method is able to identify the least number of data dimensions for machine learning-based prediction models to achieve the same or even higher accuracy as the prediction models trained with the full dimensions do.

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  • Ecological Interface Design for Shared Control of Tandem Mills

    Yukio Horiguchi

    The Iron and Steel Institute of Japan  2020.9 

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    Venue:Online  

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  • Visualizing Proficient Tacit Knowledge for Centering Operation of the Steel Plate Leveler Shear Line

    Naruki Yasue, Tetsuo Sawaragi, Hiroaki Nakanishi, Yukio Horiguchi, Makoto Kawai, Toshiya Yahara

    The Institute of Systems, Control and Information Engineers  2020.5 

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    Venue:Online  

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  • Extraction of Pupil Diameter Variation Patterns with Cognitive Load Using Locality Preserving Projection

    Hideki Hotta, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    The Institute of Systems, Control and Information Engineers  2020.5 

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    Venue:Online  

    Pupil diameter, which is modulated by the automatic nervous system, has been known as a useful index of the cognitive load while it also responds to changes in other factors like illumination and viewing distance at the same time. Aiming to develop a computational method for estimating the amount of devoted mental effort from pupil variation, we propose to introduce locality preserving projection (LPP) to extract cognitive-load dependent components from pupil diameter time series across different lighting conditions. The proposed method applies the class-distance weighted LPP to decomposed time-frequency representations of pupil diameter signals that are obtained by multiresolution analysis and then singular value decomposition. The experimental results show that the proposed method can find time-frequency components of pupil variation that depend on the cognitive workload level. Reconstructed time series from the extracted components indicated pupil dilations and contractions amplified with increasing the workload of experimental mental-arithmetic tasks.

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  • A Wrapper Algorithm for Fuzzy Cluster Membership Modification Based on Size Constraints

    Jiarui Li, Yukio Horiguchi, Tetsuo Sawaragi

    Korean Institute of Intelligent Systems  2019.12 

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    Venue:Jeju Island, Republic of Korea  

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  • Eye-tracking Study: Investigating Different Types of Reading During Summary Writing International conference

    Mikako Nishikawa, Yukio Horiguchi

    The 7th British Council New Directions in English Language Assessment Conference  2019.12  British Council

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    Language:English   Presentation type:Oral presentation (general)  

    Venue:Yokohama  

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  • 初心者に対する新旧対照法の技能習熟支援の効果

    上西 良知, 中西 弘明, 堀口 由貴男, 椹木 哲夫

    計測自動制御学会  2019.11 

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    Venue:千葉市  

    順向抑制の働きを抑制し,新技能の習得を支援する新旧対照法は,技能をある程度有する人に有効である.しかし,新旧対照法による技能学習は初心者には適用されていない.新旧対照法が初心者に対しても有効かを検証するために,テンキータイピング技能の習得実験を実施した.練習法として反復練習法を用いたグループと比較して新旧対照法を用いたグループのほうが成績の向上が顕著であり,順向抑制の働きを抑制していた.新旧対照法は初心者の技能学習に対しても効果があることが確認された.

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  • Item Set Information to Evaluate Choice Combinations for Effective Estimation of User's Preference

    Kazuki Nagino, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    The Society of Instrument and Control Engineers  2019.11 

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    Venue:Chiba, Japan  

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  • Hierarchical Dirichlet Process Hidden Markov Modeling of Plant Operator's Intent behind Observed Area-of-Interest Sequences

    Shuhei Tanaka, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    The Society of Instrument and Control Engineers  2019.11 

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    Venue:Chiba, Japan  

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  • Eye-Tracking Study on Cognitive Processing of Reading Used for Comprehension and Summarization on TOEFL iBT® International conference

    Haruna Kawai, Yukio Horiguchi, Mikako Nishikawa

    The 6th Annual International Conference of the Asian Association for Language Assessment  2019.10  The Asian Association for Language Assessment

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    Language:English   Presentation type:Oral presentation (general)  

    Venue:Hanoi, Vietnam  

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  • Measurement of Driver's Mental Workload in Partial Autonomous Driving

    Weiya Chen, Tetsuo Sawaragi, Yukio Horiguchi

    International Federation of Automatic Control  2019.9 

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    Venue:Tallinn, Estonia  

    Autonomous driving has the potential to be the next critical technology that changes the lifestyle of a human. It has, however, not been verified whether the autonomous technology at different lower levels decreases or increases the mental workload of drivers. This paper verifies the relationship between a driver’s mental workload and level 0, 1 and 2 of autonomous driving using NASA-TLX and adjusted response time in a secondary task simulation study. Experiment results show that level 1 causes the lowest mental workload of the driver, followed by level 2 and level 0. We discuss this nonlinear relationship between the levels of autonomous driving support and the mental workloads incurred to the human driver.

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  • Behavior Policy Learning beyond Demonstrations by Shifting from Imitating Others to Self-imitation

    Ryota Hirobuchi, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    Japan Society for Fuzzy Theory and Intelligent Informatics  2019.9 

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    Venue:Toyama, Japan  

    Combining generative adversarial imitation learning with reinforcement learning can encourage learning agents to obtain an appropriate behavior policy even in a sparse reward environment. However, if the given demonstration is imperfect, the imitation learning component may hinder the agent from acquiring the optimal policy. In this paper, we propose a learning method for overcoming this problem by shifting the learning mode from imitation learning to reinforcement learning with self-imitation gradually. The key idea behind the method is to replace the demonstration memory with the agent's past high-performance state-action trajectories after it rises to the demonstrated performance level. The proposed method was tested with a cart-pole swing-up task experiment, showing that it can enable the agent to learn a better policy than that of the demonstrations.

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  • Towards Inquiry-Based Learning for Summary Writing: Using Eye-tracking Data as Evidence

    Mikako Nishikawa, Yukio Horiguchi, Haruna Kawai

    The 58th JACET International Convention  2019.9  The Japan Association of College English Teachers

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    Language:English   Presentation type:Oral presentation (general)  

    Venue:Nagoya  

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  • Usability Estimation Based on Structural Compatibilities of Information Resource Distribution and Screen Transition Design with User Task

    Yukinari Deguchi, Yuki Moriya, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    Human Interface Society  2019.9 

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    Venue:Kyoto, Japan  

    This study applied the network alignment method named IsoRank, which calculates the similarity between graph structures by optimization, to usability evaluation of user interfaces that allow users to use different operation screens depending on the progress of work. The proposed method estimates the usability of interface designs from two points of view. One is the compatibility of information resources distribution that examines whether individual screens provide just enough amount of knowledge and information necessary for the user task, and the other is the compatibility of transition structure that examines whether screen transitions are consistent with the flows of work to be performed by the user. The proposed method was tested by the experimental data that had been obtained from the user testing of operation terminals whose design was changed in their information resources distribution and screen transition structure, demonstrating that it can give a usability score close to the participant users’ feeling of use when the weight for the two compatibility aspects are adjusted appropriately.

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  • Orthographic Views and Pointing-based Operation Features to Streamline Motion Point Teaching in Off-line Industrial Robot Programming

    Soichiro Ishikawa, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    Human Interface Society  2019.9 

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    Venue:Kyoto, Japan  

    The complexity of robot programming is an obstructive factor for the introduction of industrial robots to production sites. The human operator has to teach individual motion segments one-by-one to the robots to fit their behavior in the work environment, which is one of the most tedious and time-consuming tasks in robot programming. This study elicited user interface requirements to streamline the motion-point teaching by the hierarchical task analysis of off-line robot programming, and proposed UI functions that can meet these requirements. The proposed UI functions consist of the four-view display feature that generates orthographic views suitable for teaching motion points according to the operator's selection of the reference plane and the pointing-based robot operation feature. As a result of the verification experiment conducted using a Peg-in-Hole assembly task, the four-view display feature demonstrated its effectiveness in making the motion-point teaching more efficient.

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  • A Labeled Latent Dirichlet Allocation for Knowledge Extraction from Specific Health Guidance Documents

    Masaki Takeda, Yukio Horiguchi, Tatsuyoshi Ikenoue, Yukari Yamada, Shingo Fukuma, Hiroaki Nakanishi, Tetsuo Sawaragi

    Japan Society for Fuzzy Theory and Intelligent Informatics  2019.8 

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    Venue:Toyonaka, Osaka, Japan  

    In Specific Health Guidance, professional instructors provide periodic counseling and guidance to those who must change their lifestyle habits as being expected to have or having metabolic syndrome according to the results of checkups. For obtaining useful knowledge of practical guidance from written reports, this study introduces a labeled latent Dirichlet allocation method to develop a topic model of the Specific Health Guidance domain. Individual records of conducted health guidance have labels attached to indicate what kind of advice the instructor gave to his/her clients. By considering these labels, the proposed model estimates the content and distribution of guidance topics, including unlabeled ones. The estimated topic distribution that represents each guidance record in a numeric vector can provide another means to find correlations between guidance aspects and outcome measures.

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  • Extraction of Respiratory Motion Features from Sleeping Body Pressure Distribution Time Series by Generalized Morphological Component Analysis

    Hiroto Takahashi, Yukio Horiguchi, Toru Murase, Hiroaki Nakanishi, Tetsuo Sawaragi, Shintaro Chiba, Seiji Nishino

    Japan Society for Fuzzy Theory and Intelligent Informatics  2019.8 

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    Venue:Toyonaka, Osaka, Japan  

    For effectively and efficiently screening potential sleep-disordered patients, it is desired to establish simplified and easy-to-use techniques to measure the sleep state in a sufficient accuracy without elaborate facilities. Pressure sensor mats are a promising candidate but methods to estimate the vital signs of subjects from their sensing data are to be devised. For non-invasive sleep disorders screening, Generalized Morphological Component Analysis (GMCA), which is a kind of blind source separation methods, is applied to estimate the respiratory effort curve and its spatial distribution from time series of sleeping body pressure distribution. This study explores respiratory motion features that are effective for detecting and discriminating respiratory events such as apnea and hypopnea by examining the results of applying GMCA to the measurement data of the pressure sensor mat collected in polysomnography tests.

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  • Simulating Visual Attention of Human Driver in Different Task Engagement Modes by Combination of Moving Object Attractiveness Map and Saliency Map

    Yukio Horiguchi, Tadahiro Takazawa, Hiroaki Nakanishi, Tetsuo Sawaragi

    Japan Society for Fuzzy Theory and Intelligent Informatics  2019.8 

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    Venue:Toyonaka, Osaka, Japan  

    Moving object attractiveness map is a computational model that evaluates the possibility that a moving object in the field of view is gazed by the observer, which generates a view image in which each moving object is represented by shading according to the calculated gaze probability. Saliency map is, on the other hand, a computational model of visual attention that applies scientific knowledge of information processing in low-order visual cortexes to image processing, which generates an image that represents the saliency distribution based on low-level image features such as brightness and hue. This paper presents a method that combines outputs of the moving object attractiveness map and the saliency map to estimate the extent to which each area of the view image is likely to attract the visual attention of a human driver. The proposed model demonstrates that it can simulate a driver in different task engagement modes, such as watching out for surrounding moving objects or looking for a particular environmental object, by changing the weight of each of the two maps for linear combination.

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  • Automatic Sleep Staging from Cardio-Respiratory Signals Using Convolutional Recurrent Neural Network with Conditional Random Fields

    Naoto Shimakoshi, Yukio Horiguchi, Jiarui Li, Hiroaki Nakanishi, Tetsuo Sawaragi

    The Institute of Systems, Control and Information Engineers  2019.5 

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    Venue:Osaka, Japan  

    In this study, we developed an automatic sleep staging model that predicts the sleep stage of each sleep epoch from a time series of cardio-respiratory signals. The model has a Neural-CRF structure that incorporates conditional random fields (CRF) into convolutional recurrent neural networks (C-RNN). Given the sleep-stage score vector the C-RNN module output for each epoch, the CRF module generates a probable temporal sequence of sleep stages by considering the learned stage transition structure. The developed model was tested with the SHHS2 polysomnography dataset, successfully demonstrating a good performance of sleep staging (κ = 0.594±0.122, ACC = 0.749±0.079).

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  • Dynamic inversion attitude controller for unmanned helicopter

    Hidaka Asai, Hiroaki Nakanishi, Yukio Horiguchi, Tetsuo Sawaragi

    The Society of Instrument and Control Engineers, Kansai Chapter & The Institute of Systems, Control and Information Engineers  2019.1 

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    Venue:Osaka, Japan  

    Remote control of the unmanned helicopter becomes much easy due to the the stabilizer, but instead, the attitude motions of the unmanend helicopter becomes slow. Therefore, performance of attitude control of unmanned helicopter is not enough. In order to improve it, two methods including flap angle control by dynamic inversion method were analyzed in this paper. The stabilizer flap angle is ignored in the first method. The time scale separation between the rotor blade and stabilizer blade flapping was assumed in the second method. It was found that the second method was suitable for design the attitude controller for the unmmaned helicopter.

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  • Refining Fuzzy c-Means Membership Functions to Assimilate A Priori Knowledge of Cluster Sizes

    Jiarui Li, Yukio Horiguchi, Tetsuo Sawaragi

    Japan Society for Fuzzy Theory and Intelligent Informatics  2018.12 

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    Venue:Toyama, Japan  

    Because Fuzzy C-Means (FCM) uses a sum-of-squared-errors objective function, it tends to equalize cluster populations, causing drifts of centers of smaller clusters to larger adjacent clusters. As a priori knowledge for clustering, the proportions of individual cluster sizes could well be available depending on application domains, on the other hand. The present paper proposes a method that can assimilate this information into the cluster structure by refining membership functions obtained by FCM. The proposed method, limited to one-dimensional fuzzy sets, modifies the position and shape of each cluster by the two-stage adjustment of its membership curve points towards the given proportions of cluster sizes. A numerical experiment was conducted to confirm the effectiveness of the proposed method, demonstrating that assimilating a priori knowledge of cluster sizes can contribute much to the accurate extraction of the original data structure.

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  • カーナビユーザの選好構造推定を効率化する経路選択肢構成法の検討

    奈木野 一希, 堀口 由貴男, 中西 弘明, 椹木 哲夫

    計測自動制御学会  2018.11 

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    Venue:富山市  

    経路選択に関する選好構造を特定できると,ユーザの好みを細やかに反映した推奨経路を提示可能な使い勝手のよいカーナビが実現する.本研究では,カーナビが選択肢として提示する複数個の経路をどのように構成すれば,それらに対する選択結果からユーザの選好構造を正確かつ効率的に推定できるかについて,シミュレーション実験により調査した.シミュレーションでは,一定の選好構造をもつユーザがカーナビから提示される推奨経路リストの中から最も好みに近いものを選択するのに対して,カーナビ側は選択結果に基づいてベイズ推定によりユーザの選好構造についてのモデルを逐次更新する.推奨経路リストには,目的関数の重みを固定して探索した推奨経路(距離優先や一般道優先に相当)と,選好構造の推定に基づいて重みが変化する目的関数を用いて探索した「ユーザ適応経路」が含まれる.推奨経路リストにおけるユーザ適応経路の数を操作して実験した結果,少ないやり取りの回数で精度よくユーザの選好構造を推定するためにはその数をより多くとることが有効であるが,二つのユーザ適応経路が提供されるだけでも十分な効果が得られることが確認された.

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  • 観察視点の運動方向が移動体の誘目性に及ぼす影響

    高沢 忠浩, 堀口 由貴男, 中西 弘明, 椹木 哲夫

    計測自動制御学会  2018.11 

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    Venue:富山市  

    注視行動を形づくる因子に視覚的オブジェクトの目の引きやすさがあり,この度合いは誘目性とよばれる.平嶋らは,衝突可能性の認知に基づく注意制御の機能をモデリングし顕著性マップと統合することで,移動条件下にある人の注意を引きやすい移動体を視野画像において特定する「移動体誘目性マップ」を提案した.しかし,彼らのモデル構築と検証実験は観察者が前方に直進する場合に限定されていた.本研究では,横に曲がりながら移動する場合の観察者の注視についても実験し,観察視点の運動方向が移動体誘目性に及ぼす影響を調査した.調査結果からは,観測視点の運動に関する特徴量を用いることで,移動体注視率推定モデルの性能が向上することが確認されたまた,直線軌道にせよ曲線軌道にせよ,観察者は進行方向周辺に存在する移動体により注意を配る傾向があることがモデルの特徴量重要度から示唆された.

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  • Analysis of Latent Structures in Area-of-Interest Sequences to Extract Plant Operation Skills

    Yukio Horiguchi, Akira Nishio, Takayuki Sudo, Tetsuo Sawaragi

    The Iron and Steel Institute of Japan  2018.9 

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    Venue:Sendai, Miyagi, Japan  

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  • Study on Sonification Method for Parallel Processing of Visual Information in Multi-task Condition

    Keita Teshima, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    Human Interface Society  2018.9 

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    Venue:Tsukuba, Ibaraki, Japan  

    Sonification is a type of auditory display techniques to perceptualize information using non-speech audio. This paper investigates the effective use of sonification in multi-task conditions, thereby to mitigate cognitive resource requirements for processing visualized task information. Experimental studies were conducted to see the effects of introducing different forms of sonification to various combinations of tracking and search tasks, comparing their efficiency with each other as well as with a visual display. The result of the studies shows the compatibility of the pitch-based sonification with the search task,suggesting that the encoding process demand to execute search tasks can be reduced much by this type of sonification.

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  • Effects of Sound Modulation to Make Data Sonification Tolerant to Masking Noise

    Tomohiro Mizuhashi, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    Human Interface Society  2018.9 

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    Venue:Tsukuba, Ibaraki, Japan  

    In the present paper, we investigate the masking resistance of modulated sounds to clarify principles for designing data sonification that is tolerant to environmental noises. Modulating a tone can make the acoustic spectrum spread within the bandwidth of a human auditory filter, enforcing the masking resistance of the tone because of the auditory energy added by the modulation. Two sets of experiments were conducted to examine this effect of the sound modulation using a one-dimensional maximum search task under low signal-noise ratio conditions. As a result, Frequency Modulation (FM) synthesis was found more effective than pure tone and Amplitude Modulation synthesis. The study also confirmed that it is better to choose the modulation index for FM so that the bandwidth of the signaling tone is equal to or larger than the critical bandwidth.

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  • Estimation of Sleeping Heart Rate from Body Pressure Distribution Time Series by Generalized Morphological Component Analysis

    Hiroto Takahashi, Yukio Horiguchi, Tetsuo Sawaragi, Hiroaki Nakanishi, Toru Murase, Seiji Nishino

    Japan Society for Fuzzy Theory and Intelligent Informatics  2018.9 

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    Venue:Nagoya, Aichi, Japan  

    For effectively and efficiently screening potential sleep-disordered patients, it is desired to establish simplified and easy-to-use techniques to measure the sleep state in a sufficient accuracy without elaborate facilities. Pressure sensor mats are a promising candidate but methods to estimate the vital signs of subjects from their sensing data are to be devised. The present paper focuses on the estimation of the heart rate from the high-dimensional time series of sleeping body pressure and proposes to apply a blind source separation technique named Generalized Morphological Component Analysis (GMCA) to the problem. We tested GMCA by data sets with two different sleeping positions of prone and supine, demonstrating that the latter is much harder to separate the heartbeat signal from the body pressure distribution time series. A detailed discussion is made on how to improve the estimation accuracy for the supine position.

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  • Unsupervised Sentiment Analysis to Extract Topics and Their Semantic Orientations from Natural Language Text

    Yukio Horiguchi, Takayuki Sudo, Tetsuo Sawaragi, Hiroaki Nakanishi

    Japan Society for Fuzzy Theory and Intelligent Informatics  2018.9 

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    Venue:Nagoya, Aichi, Japan  

    Sentiment analysis is a technique that analyzes and extracts the evaluation information for products and services from text data. In the present paper, we propose variations of unsupervised sentiment analysis models that can estimate semantic orientations of comments (whether they are either positive or negative) together with their topics by processing text data without any ratings. The proposed models extend a standard topic model by introducing dictionaries of emotional words so that it can analyze in what point of view people are evaluating subjects positively or negatively.

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  • Saliency Map Incorporating Attractiveness of Moving Object to Estimate Human Driver's Potential Gaze Area

    Yukio Horiguchi, Akihiro Hirashima, Tetsuo Sawaragi, Hiroaki Nakanishi

    Japan Society for Fuzzy Theory and Intelligent Informatics  2018.9 

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    Venue:Nagoya, Aichi, Japan  

    The present paper proposes a computational model of the human drivers' vision named "moving object attractiveness map", aiming at image processing technique to analyze unsafe traffic conditions that may provoke their inappropriate allocation of visual attention. Saliency map is a computational model of image processing to simulate human visual attention after scientific findings of bottom-up information processing at the low-level visual cortex, which extracts distributions of salience features from a given image and combines them to estimate which areas in the image can attract the observer's visual attention more. The proposed model adds a top-down attention filter to the saliency map that predicts the likelihood of visual objects to attract the observer's attention for possible collisions.

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  • Numerical Safety Analysis of Complex Supply-Chain Systems Integrating Functional Resonance Analysis Method and Cellular Automaton

    Takayuki Hirose, Tetsuo Sawaragi, Yukio Horiguchi

    2018.6 

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    Venue:Cardiff, Wales, UK  

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  • Numerical Analysis of Production Supply Chains Affected by Variabilities with Functional Resonance Analysis Method

    Takayuki Hirose, Kazuki Iwami, Tetsuo Sawaragi, Yukio Horiguchi

    The Institute of Systems, Control and Information Engineers  2018.5 

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    Venue:Kyoto, Japan  

    Supply chains work with involving various factors, making it difficult to expect their dynamic behaviors. To make it clear, it is important to consider the systems from a systemic perspective; interactions of each components of those systems play important roles in their functioning rather than focusing on each of their characteristics. In this paper, we will present an extend model of FRAM: Functional Resonance Analysis Method, which is a practical way to analyze systems from the systemic perspective, based on an idea of cell automaton. Then, a case study with the proposed method to analyze behaviors of a steel production line will be carried out. In this analysis, we simulate how variabilities existing locally in the system propagate to the rest and influence a global behavior of it. In the end, we will discuss how such simulation will be utilized to design complex Socio-Technical Systems such as supply chains, airliners, and nuclear power plants.

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  • Analysis of Industrial Robot Programming Environments Based on Distributed Information Resources Perspective and Software Design Process Model

    Yuuki Moriya, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi, Hideto Iwamoto

    The Society of Instrument and Control Engineers  2017.12 

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    Venue:Sendai, Miyagi, Japan  

    For the purpose to discuss design requirements for a new industrial robot programming environment, the present paper investigates two different, existing robot programming systems in terms of two cognitive perspectives: how effectively they support the human operator's decision-making by supplying externalized information resources for each phase in the robot programming, and how effectively they support the operator's transitions from one programming activity to another. The analyses can indicate what information resources are to be externalized for reducing the operator's knowledge and cognitve demand as well as what activity transitions are to be simplified for fostering the progression of designing robot programs.

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  • 不快情動喚起がもたらす運筆技能変化の検証

    中西 弘明, 齋梧 等, 堀口 由貴男, 椹木 哲夫

    計測自動制御学会  2017.11 

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    Venue:浜松市  

    情動とは生体に入力された感覚刺激への評価に基づいて生ずる短期的で比較的強い反応と定義され,情動と身体反応の間には密接な関係がある.本研究では,不快情動喚起が身体技能にもたらす影響について調べることを目的としている.本稿では,身体技能として運筆技能を取り上げ,不快情動喚起刺激を負荷したときの書画結果への影響を調べた結果を示す.特に,視覚に基づく動作制御を要する課題と体性感覚のみに基づく動作制御による課題を対象として,その影響の違いを調べた.その結果として,不快情動喚起刺激は技能に影響を及ぼすことが分かった.また,技能への影響は動作に用いる感覚に依存することが示唆され,体性感覚により制御する動作では影響が現れないが,視覚に基づいて制御する動作では影響が現れることが示唆された.

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  • 自動走行からの運転権限委譲時におけるドライバの状況認識に関する基礎的調査

    高沢 忠浩, 堀口 由貴男, 中西 弘明, 椹木 哲夫

    計測自動制御学会  2017.11 

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    Venue:浜松市  

    自動走行システムからドライバへの安全な運転権限の委譲には,ドライバの正しい状況認識の形成が不可欠である.本研究では,運転を引き継ぐドライバが正しい状況認識を形成するまでにどれほどの時間を必要とするのかを検討するために,SAGAT を応用してドライバの状況認識形成過程を調べる実験を実施した.実験では,自動走行中の運転席からの視界をシミュレーションした動画像を提示し,それを任意のタイミングで隠した後,質問票を使ってその時点で獲得されている観察者の状況認識の正確性を調査した.調査の結果,周囲の車両が加減速を行い自車との位置関係を時々刻々変化させる「動的」な交通状況では,3 秒ほどの短時間で正確な状況認識を確立することは困難で,引き継ぎ後の運転判断をドライバが誤る可能性が高いことが確認された.

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  • 睡眠時の体圧分布時系列からの呼吸数と心拍数の推定における測定点選択

    平井 良暉, 堀口 由貴男, 中西 弘明, 椹木 哲夫, 村瀬 亨, 西野 精治

    計測自動制御学会  2017.11 

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    Venue:浜松市  

    現在, 医療機関で実施されている精密な睡眠の検査方法としてPSG 検査(Polysomnography)があるが,被検者への負担が大きいことが指摘されており,より簡便な睡眠の計測方法が求められている.本研究では,800点の圧力測定点を持つマット式センサを用いて,睡眠評価のための基本的な生体情報である呼吸数と心拍数を推定する手法を提案する.手法として,体圧の時系列に対しフーリエ変換を施し,ピーク周波数を調べることで呼吸と心拍の周波数を求める.実験を行った結果,呼吸数はよく推定できるが,心拍数については信号が微弱であるため解析に工夫が必要であることが明らかになった.

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  • 加算合成による2次元データ可聴化法の検討―位置決めタスクを用いたパラメータマッピングの比較評価―

    堀口 由貴男, 新田 一樹, 椹木 哲夫, 中西 弘明

    計測自動制御学会  2017.11 

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    Venue:浜松市  

    本研究では,加算合成を用いて2 次元データを可聴化するパラメータマッピングの好ましい設計について,1次元の位置決めタスクを用いて実験調査を行った.位置と速度の組で表される動的システムの状態を2音の加算合成によって可聴化する場合に,目標位置からの偏差を一つの音の大きさに対応づけるのに対して,目標速度からの偏差をもう一つの音のどのパラメータに対応づけるのが適当かを比較検討した.比較は音の大きさに対応づけるマッピングと音の高さに対応づけるマッピングの間で行われ,実験の結果,後者の優位が確認された.

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  • トピックモデルを用いた評判分析における否定表現処理の検討

    須藤 敬之, 堀口 由貴男, 椹木 哲夫, 中西 弘明

    計測自動制御学会  2017.11 

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    Venue:浜松市  

    テキストデータから特定の製品やサービスなどに対する評判を自動的に抽出する技術は評判分析と呼ばれる.また,文が示す内容が肯定的か否定的かは感情極性と呼ばれ,単語や文書に潜在する感情極性の推定はテキストマイニングの一分野として研究されている.評判分析手法の一つに,文書の低次元化や要約を実現するトピックモデルと単語レベルの感情極性辞書を組み合わせた手法が存在する.この手法では,文書情報を抽出する際に単語の出現順序を省略しているため,否定表現の係り受けによる感情極性の反転を捉えるのは難しい.本稿では,トピックモデルを用いた評判分析において問題となる否定表現の処理法として二つの手法を提案し,それらの効果を検証した.一つは否定表現による感情極性反転の検出法であり,もう一つは逆接の接続助詞における文の分割である.商品レビューのデータセットを用いた検証実験の結果,レビューテキストに基づいて商品の評判を分類するモデルの分類精度が二つの手法によって改善することが確認された.

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  • Extraction of Driver's Regions of Interest Using Saliency Map with Optical Flow Features

    Akihiro Hirashima, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    Japan Society for Fuzzy Theory and Intelligent Informatics  2017.9 

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    Venue:Yonezawa, Yamagata, Japan  

    Human drivers get most of the information about their world through vision. Therefore if we are able to specify regions to likely attract their attention, it will lead to advanced driver assistance systems, such as by detecting situations where their visual attention may get highly distracted. Saliency map is a computational model that can extract visually conspicuous points or regions based on low-level image features. In this study, we examined how well saliency maps generated from in-vehicle camera images correspond with regions of interest human observers have paid their visual attention to. As a result, we found that incorporating opticalow features in saliency maps can improve the model's performance while it still has some disagreement with actual visual behavior.

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  • Automatic sleep staging based on heart rate variability using recurrent neural network

    Naoto Shimakoshi, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

    Japan Society for Fuzzy Theory and Intelligent Informatics  2017.9 

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    Venue:Yonezawa, Yamagata, Japan  

    Sleep stage pattern provides important clues in evaluating sleep quality. This study is performed to develop a classifier that estimates sleep stage from heart rate variability. The classifier is based on Long Short-Term Memory (LSTM) which is a kind of Recurrent Neural Network, and classifies sleep stages into wake, Non-REM sleep, and REM sleep from 13 features derived from heart rate variability. As a result of the performance evaluation of the classifier, it was confirmed that the recursive connections of LSTM successfully grasps the context-dependency of sleep stages, and especially improves the classification accuracy of REM sleep.

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  • Estimation of Respiratory and Heart Rates Based on Frequency Analysis of Body Pressure Distribution During Sleep

    Yoshiki Hirai, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi, Toru Murase, Seiji Nishino

    Japan Society for Fuzzy Theory and Intelligent Informatics  2017.9 

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    Venue:Yonezawa, Yamagata, Japan  

    Sleeping mat that can measure vital signs of a person sleeping on it is one of promising alternatives to PSG (Polysomnography) for simplified sleep assessment. In this paper, we investigate computational methods to predict the respiratory and heart rates of sleeping subjects from measurements by the pressure sensor array embedded in a sleeping mat. Two computational methods were compared by experiment. Whilst both methods utilize frequency domain analysis to extract those components of body movements that are induced by breathing and heartbeat, they are different in the way to choose sensor nodes to take into account for computation. As a result, it was found that the respiratory rate can be predicted in a higher accuracy by using the sensor node with the largest pressure value for each instant of time and that the heart rate prediction accuracy is not affected by the way to choose nodes.

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  • User Simulation to Inspect Menu Hierarchical Design Using Information Scent Model

    Yukio Horiguchi, Naoki Kojima, Tetsuo Sawaragi, Hiroaki Nakanishi

    International Fuzzy Systems Association  2017.6 

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    Venue:Otsu, Japan  

    Information scent represents the semantic relevance of labeled options to destinations of navigation tasks and has a potential as a computational basis to simulate human users’ navigation decisions to search for items in a menu hierarchy. In the present paper, we propose a method to inspect the usability of menu hierarchies by using the information scent model. The method applies a software agent that makes scent-based decisions for simulating menu item selection by unlearned users. Every function that can be launched from the menus are thoroughly explored by the agent to identify ill-designed part of the menu hierarchy that makes it difficult for users to accomplish particular tasks.

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  • Wall Effect on Aerodynamic Characteristics of Rotor

    Hiroyuki Harada, Hiroaki Nakanishi, Yukio Horiguchi, Tetsuo Sawaragi

    The Institute of Systems, Control and Information Engineers  2017.5 

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    Venue:Kyoto, Japan  

    In recent years, small-scale rotorcrafts are widely used for various purpose. In particular, inspections of infrastructures such as bridges or tunnels by aerial vehicles are highly demanded. During inspection activities, aerial vehicles must approach their walls. In such situation, walls affect on the airflow around the rotor and also aerodynamic characteristics of the rotor. We conducted experiments to measure thrust, rotational speed, and required power of the rotor near a vertical side wall or a ceiling wall. It was found that the thrust and the rotational speed of the rotor do not change when it approaches to the vertical side wall. On the contrary, we found that thrust and rotational speed of the rotor increases and the required power decreases as the rotor approaches the ceiling wall. The results suggests that the vertical side wall effect is considerably small but the ceiling wall effect is large. The ceiling wall effect may be utilized to extend the flight time for inspection without equipping large batteries.

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  • Analysis of Feasibility of Procedure Based on Fuzzy Reasoning for Functional Resonance Analysis Method

    Takayuki Hirose, Tetsuo Sawaragi, Yukio Horiguchi, Tetsuo Sawaragi

    The Institute of Systems, Control and Information Engineers  2017.5 

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    Venue:Kyoto, Japan  

    Development of technologies (e.g. automation) makes the mechanical systems complex, building Socio-Technical Systems. For the safety of those systems, feasibility of procedures against a specific context plays an important role. E. Hollnagel proposed FRAM: Functional Resonance Analysis Method for this issue. In this paper, we show a practical methodology of FRAM which we proposed before: Fuzzy reasoning is applied to FRAM in this methodology, and we built a simulator of FRAM by implementing it. Also, we investigate how the methodology contributes to the safety of Socio-Technical systems.

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  • Investigation on Differences between Human and Automation Perceptions in Collaborative tasks towards Establishing their Joint Attention

    Camille Milliat, Tetsuo Sawaragi, Yukio Horiguchi

    The Institute of Systems, Control and Information Engineers  2017.5 

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    Venue:Kyoto, Japan  

    The automation of route navigation led to the implementation of in-car navigation systems, widely used nowadays. However, their interactions with the drivers still cause some confusion, thus damaging road safety. In this paper, we first propose a categorization of the interaction issues found in the literature into two categories: “context awareness issues” and “expression issues”. We then focus on “context awareness issues” and propose that they are mainly due to a difference of perception means between the automated systems and the human drivers. Finally, we suggest that joint attention between these two agents can improve the shared amount of context information and give research directions to test this hypothesis.

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  • Hierarchical Planning Using Partial Orderingfor Error Recovery in Assembly Robots International conference

    Yukio Horiguchi

    The 2nd Kyoto-Bordeaux Symposium 2015  2015.5 

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    Language:English   Presentation type:Oral presentation (general)  

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Industrial property rights

  • Respiratory curve extraction method and abnormal respiratory event extraction method

    Yukio Horiguchi, Hiroto Takahashi, Hiroaki Nakanishi, Tetsuo Sawaragi, Toru Murase

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    Applicant:Kyoto University, MonoProdigm Co., Ltd.

    Application no:特願2020-184035  Date applied:2020.11

    Announcement no:特開2022-74196  Date announced:2022.5

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  • Questionnaire to diagnose sleep apnea and preliminary survey methods using it

    Yukio Horiguchi, Jarui Li, Tetsuo Sawaragi, Toru Murase

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    Applicant:Kyoto University, Monoprodigm Co., Ltd.

    Application no:特願2020-157997  Date applied:2020.9

    Announcement no:特開2022-051600  Date announced:2022.4

    Patent/Registration no:特許7333918  Date registered:2023.8  Date issued:2023.8

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  • ロボットの教示装置、およびロボットの制御装置

    堀口由貴男, 黒野晃平, 中西弘明, 椹木哲夫, 野田哲男, 永谷達也, 奥田晴久, 田中健一

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    Application no:特願2009-289375  Date applied:2009.12

    Announcement no:特開2011-125990  Date announced:2011.6

    Patent/Registration no:特許5383468  Date issued:2014.1

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  • ロボットの教示装置、及びロボットの制御装置

    永谷達也, 野田哲男, 田中健一, 堀口由貴男, 黒野晃平, 中西弘明, 椹木哲夫

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    Application no:特願2009-272305  Date applied:2009.11

    Announcement no:特開2011-110688  Date announced:2011.6

    Patent/Registration no:特許5345046  Date issued:2013.8

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  • 産業用ロボットシステム

    野田哲男, 永谷達也, 奥田晴久, 田中健一, 椹木哲夫, 松久寛, 横小路泰義, 宇津野秀夫, 小森雅晴, 水山元, 中西弘明, 堀口由貴男, 幸田武久, 泉井一浩

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    Application no:特願2009-029374  Date applied:2009.2

    Announcement no:特開WO2010-092981  Date announced:2012.8

    Patent/Registration no:特許5436460  Date issued:2013.12

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  • 組合せ計量装置

    玉井裕, 橋口伸樹, 小西洋江, 内藤和文, 椹木哲夫, 堀口由貴男, 朝倉涼次

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    Application no:特願2006-070772  Date applied:2006.3

    Announcement no:特開2007-248199  Date announced:2007.9

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  • 検索装置

    椹木哲夫, 堀口由貴男

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    Application no:特願2004-268845  Date applied:2004.9

    Announcement no:特開2006-85389  Date announced:2006.3

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Awards

  • Best Paper Award

    2022.3   Human Interface Society   User Interface Supporting Motion Point Teaching in Off-line Industrial Robot Programming: Development and Evaluation of Orthographic Views and Pointing-based Operation Features

    Soichiro Ishikawa, Yukio Horiguchi, Hiroaki Nakanishi, Tetsuo Sawaragi

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    Award type:Honored in official journal of a scientific society, scientific journal  Country:Japan

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  • Best Paper Award

    2017.9   Analysis of Train Driver's Visual Perceptual Skills Using Markov Cluster Algorithm

    Yukio Horiguchi, Takaya Suzuki, Takayuki Suzuki, Tetsuo Sawaragi, Hiroaki Nakanishi, Tomoharu Takimoto

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    Award type:Honored in official journal of a scientific society, scientific journal 

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  • Best Paper Award / Tomota Award

    2016.9   The Society of Instrument and Control Engineers   Train Driver Support Interface Based on Visualization of Running Time Constraints

    Hiroki Kudo, Yukio Horiguchi, Tetsuo Sawaragi, Hiroaki Nakanishi

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    Award type:Honored in official journal of a scientific society, scientific journal 

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  • IFAC HMS 2016 Asian Best Paper Award

    2016.9   International Federation of Automatic Control, TC 4.5. Human-Machine Systems   Extracting Train Driver's Eye-Gaze Patterns Using Graph Clustering

    Yukio Horiguchi, Takaya Suzuki, Tetsuo Sawaragi, Hiroaki Nakanishi, Tomoharu Takimoto

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    Award type:Award from international society, conference, symposium, etc.  Country:Japan

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  • Best Paper Award

    2010.3   Human Interface Society   Analysis and Design of Human-Machine Communication on Menu System

    Yukio Horiguchi, Yuji Kuroda, Hiroaki Nakanishi, Tetsuo Sawaragi, Tsuyoshi Inoue, Satoshi Matsuura

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    Award type:Honored in official journal of a scientific society, scientific journal 

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  • SSI Excellent Paper Awar

    2020.11   The Society of Instrument and Control Engineers, System and Information Division   A Multi-Modal Topic Model for Extraction of Health Condition Types from Specific Health Guidance Documents

    Masaki Takeda, Yukio Horiguchi, Tatsuyoshi Ikenoue, Yukari Yamada, Shingo Fukuma, Tetsuo Sawaragi, Hiroaki Nakanishi

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    Award type:Award from Japanese society, conference, symposium, etc.  Country:Japan

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  • Contribution Award

    2020.9   Japan Society for Fuzzy Theory and Intelligent Informatics  

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    Award type:Award from Japanese society, conference, symposium, etc.  Country:Japan

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  • Contribution Award

    2019.8   Japan Society for Fuzzy Theory and Intelligent Informatics  

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    Award type:Award from Japanese society, conference, symposium, etc.  Country:Japan

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  • Contribution Award

    2018.9   Japan Society for Fuzzy Theory and Intelligent Informatics  

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    Award type:Award from Japanese society, conference, symposium, etc.  Country:Japan

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  • Contribution Award

    2017.9   Japan Society for Fuzzy Theory and Intelligent Informatics  

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    Award type:Award from Japanese society, conference, symposium, etc.  Country:Japan

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  • Outstanding Poster Award

    2017.6   Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems   User Simulation to Inspect Menu Hierarchy Design Using Information Scent Model

    Yukio Horiguchi, Naoki Kojima, Tetsuo Sawaragi, Hiroaki Nakanishi

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    Award type:Award from international society, conference, symposium, etc.  Country:Japan

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  • Best Paper Award Nomination Finalist

    2014.11   SICE Symposium on Systems and Information 2014  

    Keisuke Fukuda, Tetsuo Sawaragi, Yukio Horiguchi, Hiroaki Anaknishi

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    Award type:Award from Japanese society, conference, symposium, etc. 

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  • Contribution Award

    2013.9   Japan Society for Fuzzy Theory and Intelligent Informatics  

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    Country:Japan

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Research Projects

  • Eye-tracking Study: Investigating underlying constructs of the listening-to-summarize English tasks

    Grant number:21K00733  2021.4 - 2024.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)  Grant-in-Aid for Scientific Research (C)

    Mikako Nishikawa, Yukio Horiguchi

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    Authorship:Coinvestigator(s) 

    Grant amount:\4160000 ( Direct Cost: \3200000 、 Indirect Cost:\960000 )

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  • Development of High-dimensional Body Activity Time Series Analysis Methods for Unobtrusive Sleep Monitoring

    Grant number:21K12040  2021.4 - 2024.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

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    Grant amount:\4030000 ( Direct Cost: \3100000 、 Indirect Cost:\930000 )

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  • 株式会社モノプロダイム「深部体温変動からの概日リズムの位相推定と睡眠評価に関する研究」

    2021 - 2022

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  • 高能率・安定圧延を実現する人とシステムのシェアードコントロール

    2018.4 - 2022.3

    一般社団法人 日本鉄鋼協会  研究会 I 

    北村 章

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    Grant type:Competitive

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  • Inquiry-Based Learning Using Eye-Tracking Technology for Improving Paraphrasing Skills in Summary Writing

    Grant number:18K00829  2018.4 - 2021.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)  Grant-in-Aid for Scientific Research (C)

    Nishikawa Mikako

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    Grant type:Competitive

    Grant amount:\3640000 ( Direct Cost: \2800000 、 Indirect Cost:\840000 )

    Inquiry-Based Learning approach (IBL) to improve the paraphrasing skills of engineering students by employing eye-tracking technology as a tool. Eye-tracking technology allows investigators to provide empirical evidence of the writing process by recording both eye movements during the writing process. We used different types of reading during the TOEFL iBT. Integrated Writing Task in which test-takers were required to summarize the main points from multiple sources. The study used the eye-tracking method to help elicit differences between skilled and unskilled readers during summary writing (n=22). The eye-tracking data were used to test the difference in their cognitive processes and decision-making process, while questionnaires and stimulated interviews were coded for triangulating qualitative data. The study explored the efficacy of the eye-tracking technology as an additional tool for the IBL approach (Choy&Lee, 2012), which creates self-awareness to improving summary writing.

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  • 車両検修作業の労働生産性向上に関する研究

    2018.4 - 2019.2

    西日本旅客鉄道株式会社  受託研究 

    堀口 由貴男

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    Authorship:Principal investigator  Grant type:Competitive

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  • Development of Fundamental Sonification Techniques for Multimodal Ecological Interface

    Grant number:15K00269  2015.4 - 2018.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)  Grant-in-Aid for Scientific Research (C)

    Horiguchi Yukio

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\4550000 ( Direct Cost: \3500000 、 Indirect Cost:\1050000 )

    "Sonification" is a kind of techniques to convey data relations that are originally not perceivable to humans by converting them to non-voice, acoustic signals. While many studies have been done around it since 1990s, no solid guidelines have been established regarding how to design mappings from data to sound. This research project aimed to study theories of designing effective sonification to acoustically represent the state of controlled systems that changes from moment to moment. Empirical studies that examined various data-to-sound mappings by experiments were conducted to find principles of sonification design considering properties of variables and their relations to be represented by artificial sounds. The studies revealed several points of effective sonification design including what type of tasks is preferable to be supported by sonifications to visual displays.

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  • 三菱電機株式会社「革新的機械システム論」

    2015

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  • 人間機械系設計のための認知的作業分析技術の開発

    2010.10 - 2011.9

    京都大学教育研究振興財団  長期派遣助成 

    堀口 由貴男

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    Authorship:Principal investigator  Grant type:Competitive

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  • Development of Sonification Technique to Enhance Operator's Situation Awareness under Dynamic Multi-Tasking Environment

    Grant number:21700134  2009 - 2011

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)  Grant-in-Aid for Young Scientists (B)

    HORIGUCHI Yukio

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    Grant amount:\3510000 ( Direct Cost: \2700000 、 Indirect Cost:\810000 )

    In this research project, various parameter-mapping sonification designs were empirically examined to find practical guiding principles for developing effective auditory displays for a multi-tasking environment where simultaneous processing of information from multiple sources are required. The series of experiments led to the findings on polarity and scaling design for mapping a data stream(s) onto acoustic parameters like amplitude and frequency of sound, which would be applicable to a wide range of auditory display design problems.

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  • 次世代ロボット知能化技術開発プロジェクト<作業知能(生産分野)の開発>機種切り替え が迅速かつ長時間連続操業可能なロボットセル生産システムの研究開発

    2008.4 - 2012.3

    独立行政法人新エネルギー・産業技術総合開発機構  受託研究 

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    Grant type:Competitive

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  • Design Theory for Dynamical Systems with Semiosis

    2007.4 - 2012.3

    Tetsuo Sawaragi

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    Grant type:Competitive

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  • Design Theory for Dynamical Systems with Semiosis

    Grant number:19GS0208  2007 - 2011

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Creative Scientific Research  Grant-in-Aid for Creative Scientific Research

    SAWARAGI Tetsuo, TSUCHIYA Kazuo, MONNAI Teruyuki, TOMITA Naohide, YOKOKOJI Yasuyoshi, OGATA Tetsuya, AOYAGI Toshio, MIZUYAMA Hajime, NAKANISHI Hiroaki, HORIGUCHI Yukio, AOI Shinya, TANIGUCHI Tadahiro

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    Grant amount:\277030000 ( Direct Cost: \213100000 、 Indirect Cost:\63930000 )

    In this research project, by mingling technologies with the idea of semiosis, we jointly approach to the common design issues varying from how organisms make predictions about, and adapt to, their semiotic niche in the world, and to an aspect of the wider systems including architects, robots, product innovation and human-machine and/or human social interactions. Wherein, the design of the mutual and inseparable relationships between the external environment and the internal of the cognitive agent that is an actor, an observer, a cognizer, and an interpreter is becoming fundamental. Semiotic technology offers us an indispensable tool for the creation of a truly sustainable society and human-oriented technology, leading a paradigm shift from conventional"design for manufacture"to novel"design for nurture"

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  • 社会的コミュニケーションモデルに基づく移動体インタフェースの設計論

    Grant number:18047015  2006 - 2007

    日本学術振興会  科学研究費助成事業 特定領域研究  特定領域研究

    椹木 哲夫, 中西 弘明, 堀口 由貴男

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    Grant amount:\8200000 ( Direct Cost: \8200000 )

    人間と自動化機械の協調系を構築する上で,人間にとって自動化機械を道具として操る際の習熟過程の解明は重要である.これは自動化機械に内包された複雑なモード遷移を人間がどのように心的に内化できるようになるかの問題であり,人間にとっての社会性の一つである他者認識の問題にも通じる.本研究では,このような人間に固有な社会性の特徴に基づき,人間機械系,とりわけ人間と自動化機械による協調系の設計に向けたアプローチを展開した.昨年度の研究において,ユーザが自動化機械と能動的に関わることで自動化機械の制御モードを認識し,さらにモードに設計されている入出力関係(ユーザの入力に対する自動化機械の応答の関係)のみならず,外界で生起する事象がトリガとなるモード遷移の規則についても獲得していく認知過程の計算論的モデルを構築し,その被験者実験を通してモデルの妥当性を検証した.本年度はこのユーザの認知機構の計算論的モデルを拡張するとともに,この拡張モデルを用いて,モード誤認識の発生しやすい状況を事前に予測することで,多モードを有する自動化機械のモード設計改善手法の提案を行った.本研究は,実際のユーザの認知実験とシミュレーションの比較を通して,モード認識に表示系やモード遷移則,実際のモードのダイナミクスがどのように影響するかを詳細かつ網羅的に分析するための計算論的モデルの提案であり,これを基盤として,ユーザのモード認識の様態について,数理的な枠組みの中で議論を展開していくことが可能になることを示した.

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  • 人間の操作技能と機械の自律機能の融合のための適応モデルについての研究

    Grant number:17760206  2005 - 2006

    日本学術振興会  科学研究費助成事業 若手研究(B)  若手研究(B)

    堀口 由貴男

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    Grant amount:\3500000 ( Direct Cost: \3500000 )

    作業対象が備える性質がすべて直接知覚可能な形式で表出しているとは限らないために,人はまず何らかの操作を加えることで積極的に対象に働きかけてそこに隠されている状態や構造を揺さぶり出し,あるいは作業場に人工的な秩序や構造を与えてそれらの代わりになる効果的な認知資源を作り出すことで,対象の理解,そして作業への適応に物理的なインタラクションをうまく活用している.人間はこのように積極的に外界に対して働きかけること(=epistemic action)を通じて活動に必要な意味解釈をつくり上げる能動的な認知主体であるとの理解から,行為と密接に結びつくフィードバック情報が状況認識のための効果的な手がかりになる.そこで本研究課題では,人間操作者の操作入力とそれに対する自動機械の反応挙動の間の対応構造すなわち『入出力関係』に注目した.そして,両者の共同作業の遂行において操作者が識別しなければならない機械の状態問で入出力関係が十分に差別化されていることが,適切な状況認識と円滑な共同作業の実現を促すと考えた.これについて,自動車のACC(Adaptive Cruise Control)を対象に,ドライビングシミュレータを使って運転中のドライバのACCのモード認識を問う実験を実施した.まず,ドライバのモード誤認識の発生確率と入出力関係の類似性との関係を分析し,両者の密接な相関を確認した.さらに,機械の入出力関係を動作モード間で差別化するインタラクション設計によって,ドライバのモード認識が改善されることも確認した.人間と機械が緊密に連携を図る必要のあるタスク環境において,行為と密接に結びつくフィードバック情報を人間機械系の中にデザインしておくことは,円滑かつ安全な共同作業遂行のための効果的な支援になるとの結論を得た.

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  • タスク構造の同型性を用いた人間―機械協調系における共適応に関する研究

    Grant number:01J03390  2001 - 2002

    日本学術振興会  科学研究費助成事業 特別研究員奨励費  特別研究員奨励費

    堀口 由貴男

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    Grant amount:\2000000 ( Direct Cost: \2000000 )

    人間と自律機械が協調的に制御にあたる共有自律制御では、両者間での相互認識の確立が重要となる。本研究では、人間と機械双方が相手に対して能動的に働きかけ、それへの応答から相手の認識状態を明確にして共有していく相互主導性を指向したインタラクションの設計原理に着目した。そしてこの考え方を移動ロボットの遠隔操作系に対して実装し、その有効性を確認した。研究成果は以下の三点にまとめられる:
    1.人間と自律機械が協調的に系の制御にあたる共有自律制御について、適切な系の運用に求められる両者間の確かな相互認識のために能動的な認知の側面を活用し、「直接知覚と直接操作が双方に可能な共有モダリティ」を与えるインタフェース設計原理を提案した。そしてこれをロボットの遠隔操作系に適用した。
    2.直接知覚・直接操作が可能なモダリティを共有する共有自律系について、人間判断の分析手法であるレンズモデルの枠組みに基づく定量的評価を行った。そして、冗長であった人間-ロボット間の役割分担が、人間と機械の双方が積極的にタスク解決に寄与する「相互主導型インタラクション」の様相を呈しながら、両者の間で適切な役割分担が行われることを確認した。この成果は次の論文に掲載された。
    【計測自動制御学会論文誌38巻12号「遠隔操作における共有自律の実現を指向した人間-ロボット間の相互主導型インタラクションの設計」】
    3.また共有自律制御について、人間と機械の双方が動的にインタラクションのスタイルを変容させることによって状況の変化に柔軟に対応できる共適応型の人間-機械系設計に注目した。そして、これを実現するための機械側の適応モデルとして、人間認知におけるepistemic actionの性質に倣った「積極的な探りの行動に基づく判断方策の修正」のモデルを提案した。

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