Special Session

Special Session 1: Community Interaction Dynamics: Human, Social-Psychological, and Robotic Perspectives

In a humanity-centered society, understanding how people interact with communities is increasingly important as digital technologies, artificial agents, and robotic systems become part of everyday life. Human–community relationships are shaped not only by technology but also by social-psychological factors such as trust, identity, and group behavior. This special session focuses on community interaction from interdisciplinary perspectives, including social psychology, human–robot interaction, and socio-technical systems. It aims to explore how interactions among humans, communities, and intelligent technologies influence relationship dynamics and social participation, and to discuss future directions for designing community systems that support human well-being.


Session Chairs:

Aya Toyoshima, Shimane University, Japan
Takahisa Uchida, Osaka University, Japan


Related Topics:
  • Human–community interaction
  • Social-psychological aspects of participation and trust
  • Human–robot interaction in community contexts
  • Artificial agents in social systems
  • Social capital and relationship dynamics
  • Collective behavior and decision-making
  • Network analysis of communities
  • Socio-technical system design

    • Submission Method

    Submit your Full Paper (no less than 4 pages with two colums) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose "Special Session 1: Community Interaction Dynamics: Human, Social-Psychological, and Robotic Perspectives".

    Introduction of Chairs

    Aya Toyoshima, PhD, is a Lecturer at the Graduate School of Humanities and Social Sciences, Shimane University. Her research spans social psychology with a primary focus on psychological well-being. Her work involves the development of human-centered interaction systems that utilize behavioral indicators, such as reaction times in online perceptual experiments, to measure and visualize social cognitive bias. By bridging psychological science and digital platforms, she aims to address social challenges such as loneliness and isolation.

    Takahisa Uchida received a Ph.D. degree in Engineering from Osaka University, Japan, in 2021. He is currently an Assistant Professor at the Graduate School of Engineering Science, Osaka University. He is also a Research Scientist at RIKEN and a Cooperative Researcher at ATR. His research interests include dialogue systems and Human–Robot Interaction (HRI).