Soshi Yoshikawa
Papers
3
Total Citations
35
H-Index
3
About
Soshi Yoshikawa is a pioneering researcher at the intersection of human-robot interaction and autonomous systems, with a focus on designing socially intelligent agents that enhance safety and engagement. His most-cited work, "Sociable driving agents to maintain driver's attention in autonomous driving" (14 citations), introduces a novel approach to keeping human drivers alert by embedding sociable behaviors into autonomous vehicle interfaces—a critical contribution as automation risks driver disengagement. Yoshikawa further explores multi-party conversational dynamics through "NAMIDA" (12 citations), a system of three robots that autonomously converse about environmental contexts, using turn-taking to reduce direct demands on human users while maintaining situational awareness. His creative engineering is exemplified by "iBones" (9 citations), a social robot that distributes tissue packs by leveraging "weak behaviors" that evoke empathy and curiosity, demonstrating how vulnerability in robots can foster prosocial human interaction. Across these projects, Yoshikawa consistently bridges robotics, cognitive science, and user experience design, earning recognition for his innovative use of social cues to solve real-world challenges—from distracted driving to public engagement. His work continues to influence the development of cooperative, human-aware autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Sociable driving agents to maintain driver's attention in autonomous driving14 citations · 2017
- 2NAMIDA12 citations · 2016
- 3iBones9 citations · 2017