thumbnail image
  • Home
  • About
  • Projects
  • Teams
  • Publications
  • English
  • …  
    • Home
    • About
    • Projects
    • Teams
    • Publications
    • English
    • Home
    • About
    • Projects
    • Teams
    • Publications
    • English
    • …  
      • Home
      • About
      • Projects
      • Teams
      • Publications
      • English
      • Supporting Empathic Behavior by Sharing and Extending Social Signals

        Social signals are regarded as observable behavioral cues in social interaction,

        which produce tangible and affective changes in others, intentionally or not.

      • Japan Science and Technology Agency

        Symbiotic Interaction Area

        (PI: Kenji Mase)

        University of Tsukuba

        Keio University

      • About

        1) By using technologies to identify social signals in the wild to support and augment empathic behavioral responses

        2) Based on a neural understanding of empathic behavior, to develop Empathic AI with a model of behavioral respons

        Supporting Empathic Behavior by Sharing and Extending Social Signals

        We aim at supporting to augment and convey human intention, to understand others, and to perform empathic behavior based on several approaches of research such as augmented human technology that shares and extends social signals, the understanding of its neural basis, and feasibility study. The social interaction is a model of a series of behavior chains. We challenge to deepen understanding of the information process of social signals and to create a foundation of empathic AI that generates empathic behavioral responses.

        Brain Mechanisms to Understand the Empathic Behavior

        We aim to elucidate the sympathetic behavior and neural basis that support the interaction regarding social signals by utilizing engineering technology to acquire social signals. Using the methods of clinical neuroscience, we aim to elucidate mechanisms including relationships between behavioral, physiological, and brain indicators through the simultaneous acquisition of behavioral indicators such as facial expressions, head posture, and body movements, physiological indicators such as muscle activity and pulse rate associated with facial expressions and blinking, and brain function indicators during interaction between two (or more) people.

      • Mission

        Identifying Emphatic Behavior by Social Signals

        Augmented Human by using Cyborg and Wearable Technology

        Neural Understanding of Social Signals

        Developing Empathic AI for Supporting Empathic Behavior

        Feasibility Studies and Social Signals

        Neurodevelopmental Disorder, Mental Disorder, Physical Disabilities

      • Projects

        Understanding the Computational Process of Social Signals

        Technology for sharing and extending social signals

        Validation in clinical and feasibility studies

        Empathic Behavior and Neural Basis Underlying Interaction

        Validation in clinical and feasibility studies

        Validation in clinical and feasibility studies

        Behavior understanding and response by empathic AI

        Development of Mixed Reality Device (Digitarium)

        Validation in clinical and feasibility studies

        Validation in clinical and feasibility studies

      • Principal Investigator

        Kenji Suzuki

        AI & Robotics

        Project Researchers (U Tsukuba)

        Masakazu Hirokawa, Ph.D.
        Soichiro Matsuda, , Ph.D.
        Taku Hachisu, Ph.D. Eng

        Shiro Kumano, Ph.D. *

        Eleuda Nunez, Ph.D.

        Christina Andrea, Ph.D.
        Mika Oki, Ph.D.

         

        * NTT Communication Science Laboratories

        Co-Principal Investigator

        Yasuyo Minagawa

        Psychology & Neuroscience

        Project Researchers (Keio U)

        Junichi Yamamoto, Ph.D.

        Norihisa Miki, Ph.D.
        Eiichi Hoshino, Ph.D. (KGRI*)
        Satoshi Morimoto, Ph.D. (KGRI*)
        Chiho Iwatani, Ph.D. (KGRI*)
        Yoko Hakuno, Ph.D. (KGRI*)
        Eriko Yamamoto, Ph.D. (Sagami Women's University)

         

        * Global Research Institute

      About
      Projects

      Teams

      Publications

      English

      © 2019-2025 JST CREST Social Signals, University of Tsukuba & Keio University. All rights reserved.

        クッキーの使用
        Cookiesを使用して、スムーズなブラウジングエクスペリエンスを保証します。続行すると、Cookiesの使用を受け入れるものと見なされます
        詳しく見る