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担当区分：筆頭著者,　責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Institute of Electrical and Electronics Engineers (IEEE)  

DOI： 10.1109/tlt.2020.2989776

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担当区分：筆頭著者   記述言語：日本語   掲載種別：研究論文（学術雑誌）  

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担当区分：筆頭著者   記述言語：英語   掲載種別：研究論文（学術雑誌）  

DOI： 10.1007/s40593-018-0171-6

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その他リンク： http://link.springer.com/content/pdf/10.1007/s40593-018-0171-6.pdf

DOI： 10.1007/978-3-031-92970-0_15

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DOI： 10.1007/978-3-031-93567-1_2

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掲載種別：研究論文（学術雑誌）   出版者・発行元：MDPI AG  

Serendipitous learning, characterized by the discovery of new insights and unexpected connections, is recognized as a valuable educational experience that stimulates critical thinking and self-regulated learning. While there have been limited efforts to develop serendipity-oriented recommender systems in education, these systems often fall short in supporting learners’ agency, that is, the sense of ownership and control over their learning journey. In this paper, we introduce an Interactive Evolutionary Computation (IEC)-driven recommender system designed to empower learners by granting them control over their learning experiences while offering recommendations that are both novel and unexpected yet aligned with their interests. Our proposed system leverages an Interactive Genetic Algorithm in conjunction with Knowledge Graphs to dynamically recommend learning content, with a focus on the history of scientific discoveries. We conducted both numerical simulations and experimental evaluations to assess the effectiveness of our content optimization algorithm and the impact of our approach on inducing serendipity in informal learning environments. The results indicate that a significant number of participants found certain recommended learning materials to be engaging and surprising, providing evidence that our system has the potential to facilitate serendipitous learning experiences within informal learning contexts.

DOI： 10.3390/mti8110103

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記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Japan Society of Kansei Engineering  

DOI： 10.5057/ijae.ijae-d-24-00001

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記述言語：日本語   掲載種別：研究論文（学術雑誌）  

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記述言語：日本語   掲載種別：研究論文（学術雑誌）  

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DOI： 10.1007/978-3-031-60412-6_7

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DOI： 10.1007/978-3-031-06391-6_2

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出版者・発行元：Springer International Publishing  

DOI： 10.1007/978-3-030-50017-7_10

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出版者・発行元：Springer International Publishing  

DOI： 10.1007/978-3-030-23207-8_4

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担当区分：筆頭著者   記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：教育システム情報学会  

<p>In this paper, we propose an embodied conversational agent based on the willingness to communicate (WTC) model in L2 to help increase WTC in the context of English as a foreign language (EFL) by providing users with various daily conversation contexts. To simulate realistic and efficient conversations, we adopted a semantic approach in the response generation and created a system with flexible and adaptable domain knowledge, user's intent detection, and mixed-initiative conversation strategy. Our evaluation of the proposed system demonstrated its potential to simulate efficiently natural conversations in a specific context as well as the feasibility of improving learners' WTC using a computer-based environment.</p>

DOI： 10.12937/ejsise.15.15

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開催年月日： 2024年11月

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開催年月日： 2024年11月

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開催年月日： 2024年6月

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開催年月日： 2022年

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開催年月日： 2022年

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開催年月日： 2022年

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開催年月日： 2021年3月

記述言語：英語  

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開催年月日： 2021年

記述言語：英語  

This paper proposes a system that uses Interactive Evolutionary Computation (IEC) to recommend eyeglasses based on user aesthetic preference and suitability. The system presents the user with various eyeglasses, and the user evaluates the design based on aesthetic preference. Then, the system uses an Interactive Genetic Algorithm (IGA) to optimize the design based on the user and suitability evaluation. An experiment was conducted to determine the effectiveness of the proposed system toward optimizing eyeglass design. In the experiment, subjects were presented with two versions of the proposed system, which differed in the selection process adopted for the IGA. After system interaction, the subjects answered a questionnaire to determine any differences between the two versions. As new designs were generated, the system was could optimize the eyeglass design, to improve preference and suitability evaluations. We also found a difference in the optimization performance and user satisfaction of the two proposed methods.

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開催年月日： 2021年

記述言語：英語  

Kansei is a Japanese word that refers to feeling, sensitivity, intuition, among others. In this paper, we propose a system that facilitates the perception of other people’s Kansei to promote daily life awareness. To this end, our approach consists of providing users with the opportunity to visualize other people’s Kansei through observation of emoticons attached to various objects in daily scenery. To achieve an immersive experience, we designed a virtual reality environment displaying scenery that subjects are already familiar with. The proposed system is equipped with two modes: Mode 1, where users just add their Kansei to the displayed scenery, and Mode 2, where they are prompted to infer another user’s Kansei by finding objects on which emoticons may have been added. We conducted an experiment to evaluate the effectiveness of the proposed system. During the experiment, subjects interacted with the system in Mode 1, Mode 2, and then Mode 1 again, so that we could measure the influence of inferring other’s Kansei on their own. The results showed that users could gain new insights by adopting others’ Kansei. Besides, we obtained that they were keener to explore the scenery more proactively to gain new awareness.

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開催年月日： 2020年7月

記述言語：英語  

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開催年月日： 2020年6月

記述言語：英語  

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開催年月日： 2017年

記述言語：英語  

Willingness to communicate (WTC) in a second language (L2) is believed to have a direct and sustained influence on learners' actual usage frequency of the targeted language. To help overcome the lack of suitable environments to increase L2 learners' WTC, our approach is to build conversational agents that can help L2 learners overcome their apprehension towards communication in L2. In this paper, we focus on the dialogue management aspects of our approach and propose a model based on set of communication strategies (CS) and affective backchannels (AB) in order to foster agents' ability to carry on natural and WTC friendly conversations with L2 learners. An evaluation of the proposed method led to two main findings. First, combining CS and AB empowers the conversational agent, making possible highly significant WTC gains among L2 learners in English as a foreign language context. Secondly, even a single implementation of AB proved to have the potential to enhance L2 learners' WTC to some extent.

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開催年月日： 2015年

記述言語：英語  

We propose an embodied conversational agent based on the willingness to communicate (WTC) model in L2 to help increase WTC in the context of English as a Foreign Language (EFL) by providing users with various daily conversation contexts. To simulate realistic and efficient conversations, we adopted a semantic approach in the response generation and created a system with flexible and adaptable domain knowledge, user's intent detection, and mixed-initiative conversation strategy. Our evaluation of the proposed system demonstrated its potential to increase WTC in the EFL context. (C) 2015 The Authors. Published by Elsevier B.V.

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受賞国：日本国

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受賞国：日本国

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受賞国：日本国

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受賞国：日本国

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受賞国：日本国

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受賞国：日本国

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