Yasuhiro Shibasaki
Papers
1
Total Citations
5
H-Index
1
About
Yasuhiro Shibasaki is a researcher at the forefront of human-robot interaction (HRI), with a particular focus on understanding and recognizing human affective states through spontaneous behavioral cues. His key research areas include social robotics, affective computing, and multiparty interaction dynamics. Shibasaki’s major contribution lies in developing methods for boredom recognition—a critical yet underexplored dimension of user engagement—by analyzing natural, unscripted behaviors during multiparty interactions with robots. His most cited work, "Boredom Recognition Based on Users’ Spontaneous Behaviors in Multiparty Human-Robot Interactions" (2016), has garnered 5 citations, laying foundational groundwork for designing robots that can adapt their responses to maintain user interest. This research holds significant implications for creating more intuitive, socially aware robots in educational, therapeutic, and service settings. By bridging the gap between human emotional expression and machine interpretation, Shibasaki’s work advances the goal of seamless, empathetic human-robot collaboration, offering a nuanced understanding of how robots can better serve as companions and assistants in complex social environments.
Research Focus
Key Achievements
Top Papers
- 1