A Constitutive Approach to Social Emotion Differentiation based on Self-Other Discrimination

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K19907
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 61060:Kansei informatics-related
• Research Institution: Nara Institute of Science and Technology
• Principal Investigator: Hieida Chie 奈良先端科学技術大学院大学, 先端科学技術研究科, 助教 (70807388)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: 社会的感情

Outline of Final Research Achievements

Recent emotion research in the fields of information and engineering has been able to handle basic emotions such as joy, anger, sadness, and happiness, but has been unable to fully address social emotions such as embarrassment and guilt due to the difficulty involved. In this study, I aimed to realize social emotions in artificial objects such as robots by constructing a computational model of emotions on a computer based on conceptual models of emotions proposed in psychology and neuroscience. In this study, I conducted interaction experiments and used this data to learn and verify the model. Furthermore, by using envy as a keyword to connect with molecular biology researchers, I were able to refer to information not only on humans but also on mice and apes, thereby increasing our knowledge of social emotions.

Free Research Field

知能ロボティクス

Academic Significance and Societal Importance of the Research Achievements

本研究では，社会的感情とロボットの関係性についてまとめ，社会的感情の重要性を明らかにしたとともに，新たなモデルを提案し，感情の理解や人工物における感情実装への寄与を果たした．これらの知見は人と友に暮らすシステムにとって有用である．