Updated on 2021/11/16

写真a

 
MATSUBAYASHI Shota
 
Organization
Institutes of Innovation for Future Society Mobility Research Course Designated assistant professor
Title
Designated assistant professor
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Degree 3

  1. Information Science ( 2020.3   Nagoya University ) 

  2. Information Science ( 2012.3   Nagoya University ) 

  3. Informatics and Science ( 2010.3   Nagoya University ) 

Research Areas 3

  1. Humanities & Social Sciences / Cognitive science

  2. Humanities & Social Sciences / Experimental psychology  / Cognitive Psychology

  3. Informatics / Human interface and interaction

Research History 5

  1. Nagoya University   Institute of Innovation for Future Society Mobility Research Course   Designated assistant professor

    2020.8

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  2. Nagoya University   Graduate School of Informatics   Researcher

    2019.4 - 2020.7

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  3. Nagoya University   Institute of Innovation for Future Society (MIRAI)   Researcher

    2018.10 - 2019.3

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  4. Nagoya University   Institute of Innovation for Future Society (MIRAI)   Research Assistant

    2015.10 - 2018.9

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  5. NTT DOCOMO, INC.

    2012.4 - 2015.8

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Education 3

  1. Nagoya University   Graduate School of Information and Science   Department of Media Science, Doctor Course

    2015.10 - 2018.9

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    Country: Japan

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  2. Nagoya University   Graduate School of Information and Science   Department of Media Science, Master Course

    2010.4 - 2012.3

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    Country: Japan

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  3. Nagoya University   School of Informatics and Sciences   Department of Social and Human Science Information

    2006.4 - 2010.3

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    Country: Japan

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Professional Memberships 2

  1. JAPANESE COGNITIVE SCIENCE SOCIETY

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  2. Cognitive Science Society

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Awards 2

  1. Best Paper Award

    2019.4   International Academy, Research, and Industry Association   Short- and Long-Term Effects of an Advanced Driving Assistance System on Driving Behavior and Usability Evaluation

    Shota Matsubayashi

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

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  2. Best Paper Award

    2017.6   International Academy, Research, and Industry Association   Empirical Investigation of Changes of Driving Behavior and Usability Evaluation Using an Advanced Driving Assistance System

    Shota Matsubayashi

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

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Papers 5

  1. Empirical investigation of memory-based strategy on anomalous behavior Reviewed

    Shota Matsubayashi, Kazuhisa Miwa, Hitoshi Terai

    Shinrigaku Kenkyu   Vol. 90 ( 3 ) page: 274 - 283   2019

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Japanese Psychological Association  

    © 2019 Japanese Psychological Association. All rights reserved. We often encounter various anomalous behaviors of systems, such as machine failures, unexpected behaviors of intelligent agents, and irregular natural phenomena. In order to predict these anomalous behaviors, it is a useful strategy to infer the causal structure of target domains (the inference-based strategy). However, we assume another strategy, the memory-based strategy, to memorize the anomalous behaviors for the predictions. In the present study, we analyzed the features and benefits of the memory-based strategy using the spatial movement prediction task. Experiments 1 and 2 revealed that participants who were instructed to apply the memory-based strategy encoded only the anomalous instances, and not the regular instances. Additionally, the inference-based strategy was more effective for identifying the anomalous instances in a low-complexity task, whereas the memory-based strategy was more effective in a high-complexity task. Experiment 3 revealed that it was difficult to spontaneously select an appropriate strategy based on task complexity and to make benefits of the memory-based strategy for a high-complexity task even if the strategy was applied.

    DOI: 10.4992/jjpsy.90.18018

    Scopus

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  2. 変則的挙動への認知的処理に関する記憶ベース方略の効用:―ACT-Rによるモデルベースアプローチ Reviewed

    松林 翔太, 三輪 和久, 寺井 仁

    認知科学   Vol. 26 ( 3 ) page: 332-342   2019

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

     Users often observe anomalous behaviors of systems, such as machine failures, autonomous agents, and natural phenomena. We analyze the features and the benefits of the memory-based strategy, which focuses on memorization of instances to predict anomalous and regular behaviors of the system. In this study, we develop our previous research and investigate the cognitive processes and the benefits of the memory-based strategy with ACT-R model simulations. We set the parameters defining the encoding processes of anomalous instances and regular instances in the model of the memory-based strategy and performed simulations to verify how these two parameters influence prediction performance. The results of simulations showed that (1) anomalous instances are encoded and regular instances are not encoded in the memory-based strategy and that (2) such inactivity on regular instances suppresses commission errors of regular instances and does not suppress commission errors of anomalous instances and omission errors, which leads to correct prediction of systems' behaviors.

    DOI: 10.11225/jcss.26.332

  3. Cognitive and Behavioral Effects on Driving by Information Presentation and Behavioral Intervention in Advanced Driving Assistance System Reviewed

    Matsubayashi Shota, Miwa Kazuhisa, Yamaguchi Takuma, Kamiya Takafumi, Suzuki Tatsuya, Ikeura Ryojun, Hayakawa Soichiro, Ito Takafumi

    Cognitive Studies   Vol. 25 ( 3 ) page: 324 - 337   2018

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japanese Cognitive Science Society  

     Advanced driving assistance system supports human drivers in two ways. First, the system provides information about the surrounding environment and encourages drivers to change their behavior. Second, the system intervenes in driving behavior directly to assure the safety. Such a system makes two different effects on drivers. The first is a cognitive effect, which includes drivers' subjective evaluations about the system. The second is a behavioral effect, which includes drivers' behavioral changes after driving with the system. We examined how information presentation and behavioral intervention affect drivers in both cognitive and behavioral aspects. The results show that information presentation makes a significant effect on drivers' behavioral changes after driving with the system while behavioral intervention makes a significant effect on drivers' evaluations about the system.

    DOI: 10.11225/jcss.25.324

    CiNii Books

    J-GLOBAL

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  4. Empirical Investigation of Unexpected Events Handling: Preliminary Discussion Reviewed

    MATSUBAYASHI Shota, MIWA Kazuhisa, TERAI Hitoshi

    JSAI Technical Report, SIG-ALST   Vol. 79 ( 0 )   2017

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Japanese Society for Artificial Intelligence  

    DOI: 10.11517/jsaialst.79.0_10

  5. An Experimental Study on Explanation Reconstruction through Reinterpretation of Key Facts. Reviewed

    Terai Hitoshi, Miwa Kazuhisa, Matsubayashi Shota

    Cognitive Studies   Vol. 22 ( 2 ) page: 223 - 234   2015

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japanese Cognitive Science Society  

    Reconstructing explanations perform a crucial role not only in the progress of science,<br>but in educational practice and daily activities including comprehension of phenomena.<br> We focused on the transition of attention on a key fact that contradicts the preceding<br> explanation and has a central role in its reconstruction. We used a short story as an<br> experimental material in which the participants first constructed a prior explanation<br> and reconstructed it. The experimental results are summarized as follows. First, when<br> the prior explanation was rejected, a new explanation was required, after attention on<br> the key fact was inhibited. Second, hypothesized premises not inconsistent with the<br> prior explanation were sought to protect the prior explanation. Third, the explanation<br> reconstruction was facilitated by having the participants focus on the key fact. Last,<br>attention on the key fact was recovered through explanation reconstruction.

    DOI: 10.11225/jcss.22.223

Books 1

  1. 高齢社会における人と自動車

    青木, 宏文, 赤松, 幹之, 上出, 寛子( Role: Contributor)

    コロナ社  2021.1  ( ISBN:9784339027723

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    Total pages:vii, 228p   Responsible for pages:79-87   Language:Japanese

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Presentations 24

  1. Cooperative Behavior in the Shared Space

    Shota Matsubayashi, Kazuhisa Miwa, Hitoshi Terai, Asaya Shimojo, Yuki Ninomiya

    2021.9.3 

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    Event date: 2021.9

    Language:English   Presentation type:Poster presentation  

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  2. What is the Cooperative Behavior of Moving in Shared Spaces?

    Shota Matsubayashi, Kazuhisa Miwa, Hitoshi Terai, Asaya Shimojo, Yuki Ninomiya

    CogSci 2021 

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    Event date: 2021.7

    Language:English   Presentation type:Poster presentation  

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  3. Discussion for Evaluation Method toward Advanced Driving Assistance Systems

    Shota Matsubayashi, Akihiro Maehigashi, Kazuhisa Miwa, Hirofumi Aoki, Takuma Yamaguchi, Tatsuya Suzuki

    2020.9.17 

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    Event date: 2020.9

    Language:English   Presentation type:Oral presentation (general)  

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  4. Building Mental Model Applied to Smartphone Application with ACT- R Cognitive Architecture

    Yang Ze, Matsubayashi Shota, Miwa Kazuhisa, Yao Xin

    2020.9.17 

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    Event date: 2020.9

    Language:English   Presentation type:Oral presentation (general)  

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  5. Decision-Making in Interactions Between Two Vehicles at a Highway Junction

    Asaya Shimojo, Yuki Ninomiya, Shota Matsubayashi, Kazuhisa Miwa, Hitoshi Terai, Hiroyuki Okuda, Tatsuya Suzuki

    HCI in Mobility, Transport, and Automotive Systems. Driving Behavior, Urban and Smart Mobility  2020  Springer International Publishing

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    Event date: 2020

    Language:English   Presentation type:Oral presentation (general)  

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  6. Development of a Driving Model That Understands Other Drivers’ Characteristics

    Shota Matsubayashi, Hitoshi Terai, Kazuhisa Miwa

    HCI in Mobility, Transport, and Automotive Systems. Driving Behavior, Urban and Smart Mobility  2020  Springer International Publishing

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    Event date: 2020

    Language:English   Presentation type:Oral presentation (general)  

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  7. Model-based Approach with ACT-R about Benefits of Memory-based Strategy on Anomalous Behaviors.

    Shota Matsubayashi, Kazuhisa Miwa, Hitoshi Terai

    2019 

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    Event date: 2019

    Language:English   Presentation type:Oral presentation (general)  

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  8. 文章洞察問題を用いた再解釈と説明に関する実験的検討

    松林翔太, 寺井仁, 三輪和久

    日本認知科学会大会発表論文集(CD-ROM)  2011 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  9. 指導員型運転支援の反復利用による運転行動特性変化の検証

    山口拓真, 金田直輝, 松林翔太, 奥田裕之, 鈴木達也, 三輪和久

    自動車技術会大会学術講演会講演予稿集(CD-ROM)  2019.5.17 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  10. 想定外事象に対する認知プロセスと検証手法 ―実験・シミュレーション・実践― Invited

    松林 翔太

    第48回 KG CAPSセミナー  2021.6.9 

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    Language:English   Presentation type:Oral presentation (general)  

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  11. 想定外に生じる例外の対処行動に関する実験的検討

    松林翔太, 三輪和久, 寺井仁

    人工知能学会先進的学習科学と工学研究会資料  2017.3.1 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  12. ACT-R Modeling for Memory-based Strategy for Anomalous Behaviors

    松林翔太, 三輪和久, 寺井仁

    日本認知科学会大会発表論文集(CD-ROM)  2018 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  13. Empirical Investigation of Descriptive Handling Strategy on Anomalous Instances

    松林翔太, 三輪和久, 寺井仁

    日本認知科学会大会発表論文集(CD-ROM)  2017 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  14. 先読み運転を可能にするスーパーバイザ型運転支援の提案と実車実証

    二宮芳樹, 竹内栄二朗, 山口拓真, 新村文郷, 吉原佑器, 赤木康宏, 川西康友, 松林翔太, 三輪和久, 出口大輔, 早川聡一郎, 鈴木達也, 村瀬洋

    自動車技術会大会学術講演会講演予稿集(CD-ROM)  2016.10.17 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  15. スーパーバイザ型運転支援による運転行動改善の検証

    山口拓真, 松林翔太, 奥田裕之, 鈴木達也, 三輪和久

    計測自動制御学会システム・情報部門学術講演会講演論文集(CD-ROM)  2018.11.25 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  16. スーパーバイザ型協調制御の実験的検証

    神谷貴文, 山口拓真, 奥田裕之, 鈴木達也, 松林翔太, 三輪和久, 武藤健二, 伊藤隆文

    自動車技術会大会学術講演会講演予稿集(CD-ROM)  2016.5.23 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  17. The modification of mental model for users who use application

    Yao Xin, Shota Matsubayashi, Kazuhisa Miwa

    2019.9.5 

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    Language:Japanese   Presentation type:Poster presentation  

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  18. Short- and Long-Term Effects of an Advanced Driving Assistance System on Driving Behavior and Usability Evaluation International conference

    Shota Matsubayashi, Kazuhisa Miwa, Takuma Yamaguchi, Tatsuya Suzuki

    The Twelfth International Conference on Advances in Computer-Human Interactions (ACHI 2019)  2019.2.26 

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    Language:English   Presentation type:Oral presentation (general)  

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  19. Model-based Approach with ACT-R about Benefits of Memory-based Strategy on Anomalous Behaviors International conference

    Shota Matsubayashi, Kazuhisa Miwa, Hitoshi Terai

    CogSci 2019  2019.7.25 

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    Language:English   Presentation type:Oral presentation (general)  

    Venue:Palais des congrès de Montréal  

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  20. Explanation Reconstruction through Reinterpretation of Key Facts.

    Hitoshi Terai, Kazuhisa Miwa, Shota Matsubayashi

    Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012, Sapporo, Japan, August 1-4, 2012  2012 

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    Language:English   Presentation type:Oral presentation (general)  

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    Other Link: http://dblp.uni-trier.de/db/conf/cogsci/cogsci2012.html#conf/cogsci/TeraiMM12

  21. Empirical Investigation of Changes of Driving Behavior and Usability Evaluation Using an Advanced Driving Assistance System International conference

    Shota Matsubayashi, Kazuhisa Miwa, Takuma Yamaguchi, Takafumi Kamiya, Tatsuya Suzuki, Ryojun Ikeura, Soichiro Hayakawa, Takafumi Ito

    THIRTEENTH INTERNATIONAL CONFERENCE ON AUTONOMIC AND AUTONOMOUS SYSTEMS (ICAS 2017)  2017 

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  22. 文章洞察課題を用いた説明の再構築に関する実験的検討

    松林翔太, 寺井仁, 三輪和久

    人工知能学会先進的学習科学と工学研究会資料  2012.3.7 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  23. 運転支援方法とユーザビリティ・行動変容の関係に関する実験的検討

    松林翔太, 松林翔太, 松林翔太, 三輪和久, 山口拓真, 山口拓真, 神谷貴文, 鈴木達也, 池浦良淳, 早川聡一郎, 伊藤隆文, 武藤健二

    日本認知科学会大会発表論文集(CD-ROM)  2016 

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  24. 説明転換における事実参照に関する検討

    寺井仁, 三輪和久, 松林翔太, 遠山直宏

    日本認知科学会大会発表論文集(CD-ROM)  2015 

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Other research activities 1

  1. 電通育英会 大学院奨学生 第5期生

    2010.4
    -
    2012.3

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    電通育英会 大学院奨学生 第5期生

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KAKENHI (Grants-in-Aid for Scientific Research) 1

  1. Studies of Human Driver Models for a Cognitive Science-based Technology for Driving Assistance

    2019.6 - 2019.9

    Tateishi Science and Technology Foundation  Short-term Foreign Research for International Interaction 2019 First Semester 

    Shota MATSUBAYASHI

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\729000 ( Direct Cost: \700000 、 Indirect Cost:\29000 )

    Co-researcher: Frank E. Ritter (Pennsylvania State University)
    In this study, I develop the driving behavior model with the intention estimations to realize the machine coexisting with human drivers, pedestrians, or other traffic participants. The driver model is built with the cognitive architecture ACT-R and I elaborate on the detailed structure of the model.

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Teaching Experience (Off-campus) 2

  1. Interviewing Method

    2020.4 Tokai Gakuen University)

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  2. Cognitive Science B

    2017.10 Daido University)

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