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. EngShiro 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
