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OGATA (Fang)Shigen (Siyuan)

FacultyHuman Life,Health,and Information Studies
PositionAssociate Professor
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Last Updated :2025/06/30

Researcher Information

Degree

  • Doctor of Human Sciences（2018/07 Waseda University）
  • Master of Arts in Human Sciences（2015/03 Waseda University）
  • Bachelor of Arts（2012/06 Shanghai International Studies University）

J-Global ID

Research Interests

  • Affective Computing   Cognitive Modeling   AI Art   Empirical Aesthetics   AI Education   Data Science Education   STEAM Education   

Research Areas

  • Informatics / Sensitivity (kansei) informatics
  • Humanities & social sciences / Cognitive sciences
  • Humanities & social sciences / Primary/secondary education and curricula

Academic & Professional Experience

  • 2025/04 - Today  Hyogo University of Teacher EducationDepartment of Health and Living Sciences Education, Field of Content Area Instruction, the Joint Graduate School (Ph.D. Program) in Science of School EducationAssociate Professor
  • 2025/04 - Today  Hyogo University of Teacher EducationCourses of Human Life, Health and Information Studies, Major in Human Development Education, Graduate School of EducationAssociate Professor
  • 2022/04 - Today  Hyogo University of Teacher EducationCenter of Teacher Education Program for the Transformation (C-TEX)Lecturer (Concurrent Post)
  • 2022/04 - Today  Hyogo University of Teacher EducationCenter for Information and CommunicationLecturer (Concurrent Post)
  • 2024/09 - 2025/03  Hyogo University of Teacher Educationthe Joint Graduate School (Ph.D. Program) in Science of School EducationAssistant Professor
  • 2022/04 - 2025/03  Hyogo University of Teacher EducationGraduate School of Education, Major in Human Development Education, Course of Human Life, Health and Information StudiesAssistant Professor
  • 2018/10 - 2022/03  Waseda UniversityDepartment of Data Science Education, Global Education CenterAssistant Professor
  • 2018/04 - 2022/03  Waseda UniversityCenter for Data ScienceMember (Concurrent Post)
  • 2017/09 - 2018/09  Waseda UniversityDepartment of Statistics Education, Global Education CenterResearch Associate
  • 2015/04 - 2017/08  Waseda UniversitySchool of Human SciencesEducation Coach of E-School

Association Memberships

  • Japanese Teaching Society of Japan   Japan Society for Educational Technology   The Society for Art and Science (Japan)   APA Division 10: Society for the Psychology of Aesthetics, Creativity and the Arts   American Psychological Association (APA)   The Japanese Psychological Association   Japan Society of Kansei Engineering   Cognitive Science Society   Japanese Cognitive Science Society   Japanese Society for Artificial Intelligence   

Published Papers

Conference Activities & Talks

  • The potential of generative AI in supporting learning through narrative-based educational materials
    Ryosho Ogu; Shigen Fang Ogata; Hisashi Ogawa
    The 148th Annual Conference of Japanese Teaching Society of Japan (Mie Conference)  2025/06
  • Shigen Fang Ogata; Shuanshuan Liu; Yoshimasa Tawatsuji; Keiichi Muramatsu
    Nicograph International 2025  2025/06
  • Intersection between art appreciation education and information education for computational thinking through reflective learning
    Shigen Fang Ogata; Shuanshuan Liu
    The JSET Spring Conference 2025 (46th)  2025/03
  • An experimental study on visual factors for images to be “baeru” by constructing social interaction models for Instagram users
    Hajime Matsuda; Shigen Fang Ogata; Tatsunori Matsui
    The 20th Spring Annual Meeting of Japan Society of Kansei Engineering  2025/03
  • Theoretical discussion of influences of images on comprehension of affective states in narratives based on a cognitive model and potential of AI-generated images for educational support
    Ryosho Ogu; Shigen Fang Ogata; Hisashi Ogawa
    The 20th Spring Annual Meeting of Japan Society of Kansei Engineering  2025/03
  • Potential of Using AI to Facilitate the Development of Reflective Thinking in Art Appreciation  [Invited]
    Shuanshuan Liu; Shigen Fang Ogata
    The 8th Academic Forum of the Yangtze River Delta Art Education Research Allicance  2024/11
  • A new method for measuring style prototypicality of paintings and its validation using drift diffusion model
    Shigen Fang Ogata; Yoshimasa Tawatsuji; Tatsunori Matsui
    The 41st Annual Meeting of Japanese Cognitive Science Society  2024/10
  • Shuanshuan Liu; Shigen Fang Ogata
    The 41st Annual Meeting of Japanese Cognitive Science Society  2024/10
  • History, basic mechanisms, and types of artificial intelligence
    Shigen Fang Ogata
    CReATE Seminar "Workshop on the Utilization of Generative AI in Educational Activities", Hyogo University of Teacher Education  2024/06
  • Experimental research on the affective evaluations of AI-generated paintings
    Shigen Fang Ogata
    Joint academic meeting "Fine Arts and Design Education" co-organized with researchers of Department of Fine Arts, Northeast Normal University  2024/03
  • Shigen Fang Ogata; Shuanshuan Liu
    The 87th Annual Convention of the Japanese Psychological Association  2023/09
  • Development of a quantitative psychological model for the mechanism of Noisy Color Phenomenon: Analysis of an impression evaluation experiment using square color patches as stimuli
    Hajime Matsuda; Shigen Fang Ogata; Tatsunori Matsui
    The 18th Spring Conference of the Japan Society of Kansei Engineering  2023/03
  • Let's try teaching programming in primary schools using Scratch! (Lecture on Career Advancement)
    Jun Moriyama; Shigen Fang Ogata
    Center of Career Development for Teachers & Center of Teacher Education Program for the Transformation, Hyogo University of Teacher Education  2023/01
  • Clarification of the occurrence mechanism of the Noisy Color Phenomenon and psychological model construction
    Hajime Matsuda; Shigen Fang Ogata; Tatsunori Matsui
    The 24th Annual Meeting of the Japan Society of Kansei Engineering  2022/09
  • Viewing the "noisy color" phenomenon from the perspective of design engineering  [Invited]
    Shigen Fang Ogata
    Department of Fine Arts, Fine Arts Academy, Northeast Normal University, China  2021/12
  • A quantitative study on influences of fractal dimension and color attributes on affective evaluation of fractal patterns
    Yiyang Bi; Siyuan Fang; Tatsunori Matsui
    The 23rd Annual Meeting of the Japan Society of Kansei Engineering  2021/09
  • A semantic differential study on psychological dimensions of affective evaluations of abstract paintings generated by Creative Adversarial Networks
    Siyuan Fang; Yoshimasa Tawatsuji; Hongxu Zhang; Tatsunori Matsui
    The 26th Congress of the International Association of Empirical Aesthetics  2021/09
  • Historical development of theories and methodologies of psychology of emotions related to design  [Invited]
    Siyuan Fang
    Department of Design, Fine Arts Academy, Northeast Normal University, China  2020/12
  • Influences of acquisition of painting styles on affective evaluation of paintings
    Siyuan Fang; Yoshimasa Tawatsuji; Tatsunori Matsui
    The 84th Annual Convention of the Japanese Psychological Association  2020/09
  • Relationships between prototypicality and preference in different painting styles
    Siyuan Fang; Yoshimasa Tawatsuji; Tatsunori Matsui
    The 36th Annual Conference of the Japanese Cognitive Science Society  2019/09
  • Continuous relationship between focality and preference of colors and its mediating variables
    Siyuan Fang
    Symposium Commemorating the 1st Anniversary of the Academic Exchange Agreement between Mizuho Bank and Waseda University: "The data science that Mizuho and Waseda have created together and the future"  2019/07
  • Construction of the brain function model about the positive reappraisal mechanism in mindfulness meditation based on the appraisal theory
    Haruka Nakamura; Siyuan Fang; Yoshimasa Tawatsuji; Tatsunori Matsui
    The 33rd Annual Conference of the Japanese Society for Artificial Intelligence  2019/06
  • Conceptualization of IMS that estimates learners’ mental states from learners’ physiological information using deep neural network algorithm
    Tatsunori Matsui; Yoshimasa Tawatsuji; Siyuan Fang; Tatsuro Uno
    The 15th International Conference on Intelligent Tutoring Systems  2019/06
  • Real-time estimation of learners’ mental states from learners’ physiological information using deep learning
    Yoshimasa Tawatsuji; Tatsuro Uno; Siyuan Fang; Tatsunori Matsui
    The 26th International Conference on Computers in Education  2018/11
  • Experimental investigation into the mediating variables of the relationship between color focality and color preference
    Siyuan Fang; Tatsunori Matsui
    2018 Interim Meeting of the International Colour Association  2018/09
  • Experimental evidence for the existence of noisy colors effect in modern Japanese culture
    Siyuan Fang; Yoshimasa Tawatsuji; Tatsunori Matsui
    2018 Congress of International Association of Empirical Aesthetics  2018/08
  • An attempt to analyze the psychological mechanism of aesthetic evaluation of color-shape combinations using deep learning
    Kento Hotoda; Siyuan Fang; Yoshimasa Tawatsuji; Tatsunori Matsui
    The 13th Spring Conference of the Japan Society of Kansei Engineering  2018/03
  • Construction of a psychological model of the generation mechanism of ”anshinkan” elicited by robot agents in human-agent interactions
    Yu Shimura; Siyuan Fang; Yoshimasa Tawatsuji; Tatsunori Matsui
    The 13th Spring Conference of the Japan Society of Kansei Engineering  2018/03
  • Extraction of relationships between learners' physiological information and learners' mental states by machine learning
    Yoshimasa Tawatsuji; Tatsuro Uno; Keita Okazaki; Siyuan Fang; Tatsunori Matsui
    The 25th International Conference on Computers in Education  2017/12
  • Construction of a computational model of multicolor aesthetic evaluation based on psychological experiments
    Siyuan Fang; Tatsunori Matsui
    The 19th Annual Meeting of the Japan Society of Kansei Engineering  2017/09
  • Formalization of relationships between learners' physiological information and learners' mental states by deep neural network
    Yoshimasa Tawatsuji; Tatsuro Uno; Keita Okazaki; Siyuan Fang; Tatsunori Matsui
    The 1st International Conference of LASI (Learning Analytics Summer Institute)-Asia  2017/08
  • Experimental investigation into the continuous pattern of the relationship between color focality and short-term memory performance for colors
    Siyuan Fang; Tatsunori Matsui
    The 39th Annual Meeting of the Cognitive Science Society  2017/07
  • Construction of a qualitative model for explaining characteristics in object perception of people with autism spectrum disorders: using recognition of Navon figures as main task
    Kazuo Okumura; Siyuan Fang; Yoshimasa Tawatsuji; Tatsunori Matsui
    The 12th Spring Conference of the Japan Society of Kansei Engineering  2017/03
  • Experimental probe into the continuous pattern of the relationship between color focality and short-term memory performance for colors: a case study testing the Japanese language
    Siyuan Fang; Tatsunori Matsui
    The 12th Spring Conference of the Japan Society of Kansei Engineering  2017/03
  • Proposal of a psychological model for the generation process of positive moods
    Masaru Kondo; Siyuan Fang; Yoshimasa Tawatsuji; Tatsunori Matsui
    2016 Student Research Presentation Seminar, the Japanese Society for Information and Systems in Education  2017/02
  • An experimental study of the relationship between focality and short-term memory of colors in the Japanese language
    Siyuan Fang; Tatsunori Matsui
    The 33rd Annual Conference of the Japanese Cognitive Science Society  2016/09
  • Experimental study on color preference as implicit attitude toward color combinations
    Keiichi Muramatsu; Siyuan Fang; Kazunori Kaede; Eiichiro Tanaka; Keiichi Watanuki; Tatsunori Matsui
    The 46th Annual Conference of the Color Science Association of Japan  2015/09
  • Quantitative analysis of effects of "artificial synesthesia" on memory performance
    Hanari Yoshikawa; Siyuan Fang; Tatsunori Matsui
    The 46th Annual Conference of the Color Science Association of Japan  2015/09
  • Comparison of implicit and explicit attitudes towards multicolor combinations
    Keiichi Muramatsu; Siyuan Fang; Eiichiro Tanaka; Keiichi Watanuki; Tatsunori Matsui
    The 17th Annual Conference of the Japan Society of Kansei Engineering  2015/09
  • Construction of an artificial kansei system simulating the mental function of multi-color aesthetic evaluation
    Siyuan Fang; Keiichi Muramatsu; Tatsunori Matsui
    The 29th Annual Conference of the Japanese Society for Artificial Intelligence  2015/05
  • Experimental study of aesthetic evaluation to multi-color stimuli using semantic differential method
    Siyuan Fang; Keiichi Muramatsu; Tatsunori Matsui
    The 16th Annual Conference of the Japan Society of Kansei Engineerig  2014/09

MISC

  • [Summary of Doctoral Thesis] Experimental study on perceptual features that influence aesthetic preference for multicolor stimuli
    Siyuan Fang  Transactions of Japanese Society for Information and Systems in Education  38-  (3)  293  -294  2021/07
  • Report on the 39th Annual Meeting of the Cognitive Science Society (CogSci 2017)
    Shohei Hidaka; Siyuan Fang; Misa Fukuoka; Masaru Shirasuna; Itsuki Fujisaki; Takuma Torii  Cognitive Studies: Bulletin of the Japanese Cognitive Science Society  24-  (4)  576  -581  2017/12

Awards & Honors

  • 2025/06 Nicograph International 2025, the Society of Art and Science Short Paper Award
     
    受賞者: Shigen Fang Ogata;Shuanshuan Liu;Yoshimasa Tawatsuji;Keiichi Muramatsu
  • 2023/03 Excellent Presentation Award of the 18th Spring Conference of the Japan Society of Kansei Engineering
     
    受賞者: Hajime Matsuda;Shigen Fang Ogata;Tatsunori Matsui
  • 2019/06 2019 Technology Research Award of the Japan Society of Kansei Engineering
     
    受賞者: Siyuan Fang;Tatsunori Matsui
  • 2018/07 Best Learning Innovation Prize of Learning Innovation Grand Prix 2018
     
    受賞者: Participated as a member of Tatsunori Matsui Lab (Waseda University)'s project "Real-Time Estimation of Learners' Mental States from Physiological Information Using Machine Learning and its Application in Learning Assistance"
  • 2015/09 Excellent Presentation Award of the 17th Annual Conference of the Japan Society of Kansei Engineering
     
    受賞者: Keiichi Muramatsu;Siyuan Fang;Eiichiro Tanaka;Keiichi Watanuki;Tatsunori Matsui
  • 2015/04 Japanese Government (MONBUKAGAKUSHO: MEXT) Scholarship (Research Students)
  • 2013/04 Ting Hsin International Group, Tingyi (Cayman Islands) Holding Corp. Scholarship

Research Grants & Projects

  • 日本学術振興会：科学研究費助成事業 基盤研究(C)
    Date (from‐to) : 2021/04 -2025/03 
    Author : 村松 慶一; 田和辻 可昌; 緒方 思源
     
    本研究の目的は，計算可能な感性のモデルを統合しシミュレーションを行うための概念的な基盤として，モデルの違いを吸収して複数の変数を統一的に捉えるメタ・モデルとその要素を定義するオントロジーを構築することである．具体的には，色彩感情のシミュレーションモデルと色彩情報を処理する脳機能モデルを構築し，メタ・モデルに基づいてそれらを統合することで，円滑な知識利用の実現を目指す．まず，色彩感情をシミュレーションするモデルの構築については，色配色に対する色彩感情をシミュレーションするニューラルネットワークモデルを検討した．これは，色彩配色に対して人間が典型的に認識する色彩の特徴を入力とするものである．従来研究で構築した3層構造のニューラルネットワークを基にして，生態学的妥当性を加味したモデルの検討を行った．次に，色彩情報を処理する脳機能モデルの構築については，先の色彩感情のシミュレーションモデルとは別の切り口としてIT野のニューロダイナミクスに基づいたモデルを検討した．これは，脳機能に基づいて色彩配色に対して人間が典型的に認識する色彩の特徴を出力とするニューラルネットワークモデルである．従来研究の成果を援用しながら，複数の色彩情報に対するIT野のニューロダイナミクスのモデル表現を試みた．これらにより，人間が色に対して感情的な反応を見せるという同じ事象について，それぞれ異なる観点からモデル化を行うことができ，それらがメタ・モデルによって説明される対象となる予定である．
  • Japan Society for the Promotion of Science：Grants-in-Aid for Scientific Research
    Date (from‐to) : 2021/04 -2025/03 
    Author : 緒方 思源
     
    本研究は、「CAN」というAIアルゴリズム [Elgammal et al., 2017]に生成された絵画に対して人間がもつ感性評価の心理構造の解明（段階1）と、画像特徴量がCAN絵画の感性評価へ与える影響の定量的な解明（段階2）からなる。段階1では2つの実験を行う。実験1では、CAN絵画に対する感性的印象を描写できる形容詞を参加者に提供してもらい、収集した形容詞に基づいてCAN絵画の感性評価に相応しいSD法の評価尺度を作成する。実験2では、参加者にこれらの尺度を用いてCAN絵画の感性評価を行なってもらい、因子分析により感性評価の心理次元を抽出する。 2020年に本研究の準備として、両実験の実験用プロトタイプを作成し少人数の実験を行った。2021年の前半までの間にデータの解析を行い、CAN絵画の感性評価が、嗜好度・活動性・力量性・鋭さの4つの心理次元に構成されることが示された。なお、実験2で計測した感性評価以外の心理変数である「生き物らしさ」（絵画に描かれたものがどの程度生き物の外観と似ているかの評価）が、嗜好度に負の影響を与え、その影響の一部が力量性に媒介され、具体的には、生き物らしさが力量性に正の影響を与え、力量性が嗜好度に負の影響を与える。 2021年度の後半に、新型コロナの状況のため、大規模な実験の実施が難しくなったので、段階2の一部を前倒しして段階1の実験の先に行った。具体的には、実験2に用いる絵画の画像特徴量を計算し上記の感性評価データとの関係を調べた。初歩的な結果として、フーリエ変換によるパワースペクトラムの方位角的平均の対数曲線が上向きに曲がり、嗜好度が高い作品は嗜好度が低い作品より、周波数全体でパワーが大きい。一方、等方性には、嗜好度との関係が見られない。なお、Minkowski-Bouligand次元が高いほど、新奇性が低くて嗜好度が高い傾向がやや見られる。

Teaching Experience

  • School Observation Practice (Practical Training I)School Observation Practice (Practical Training I) Hyogo University of Teacher Education
  • Advanced Research on Educational Content in Information Science II (AI and Data Science)Advanced Research on Educational Content in Information Science II (AI and Data Science) The Joint Graduate School (Ph.D. Program) in Science of School Education, Hyogo University of Teacher Education
  • Studies on Teaching Materials for Elementary School Programming EducationStudies on Teaching Materials for Elementary School Programming Education Hyogo University of Teacher Education
  • Basic Seminar on Information TechnologyBasic Seminar on Information Technology Hyogo University of Teacher Education
  • Basic Skills and Methods of AI and Data ScienceBasic Skills and Methods of AI and Data Science Hyogo University of Teacher Education
  • Advisory services for students of the Certification Program in Data ScienceAdvisory services for students of the Certification Program in Data Science Waseda University
  • Introduction to Data Science αIntroduction to Data Science α Waseda University
  • Data Science Hands-on SeminarsData Science Hands-on Seminars Waseda University
  • Statistics Literacy β: Probability TheoryStatistics Literacy β: Probability Theory Waseda University
  • Statistics Literacy γ: Statistical Estimation and InferenceStatistics Literacy γ: Statistical Estimation and Inference Waseda University
  • Statistics Literacy α: Descriptive StatisticsStatistics Literacy α: Descriptive Statistics Waseda University
  • Statistical Data Analysis WorkshopStatistical Data Analysis Workshop Waseda University
  • Knowledge Information Science (assistant of graduation research)Knowledge Information Science (assistant of graduation research) Waseda University

Academic Contribution

  • Chair of Session "Information Education (3)" of the JSET Spring Conference 2025 (46th)
    Date (from-to) :2025/03/09
    Role: Panel moderator
    Type: Competition etc
  • Reviewer for International Journal of Asia Digital Art and Design (ADADA)
    Role: Peer review
    Type: Peer review etc
  • Reviewer for (IEEE) International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
    Role: Peer review
    Type: Peer review etc
  • Reviewer for the Annual Meetings of Japanese Cognitive Science Society
    Role: Peer review
    Type: Peer review etc
  • Reviewer for SAGE Open (Sage Publishing)
    Role: Peer review
    Type: Peer review etc
  • Reviewer for International Journal of Affective Engineering
    Role: Peer review
    Type: Peer review etc
  • Reviewer for Transactions of Japan Society of Kansei Engineering
    Role: Peer review
    Type: Peer review etc

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