Kazuki Sakai
Papers
14
Total Citations
120
H-Index
5
About
Kazuki Sakai is a leading researcher in human-robot interaction, specializing in socially assistive robotics for vulnerable populations. His work centers on how physically embodied robots—particularly multi-robot systems—can enhance communication, persuasion, and social support in real-world settings. Sakai’s most impactful study (33 citations) demonstrated that physically embodied conversation robots can significantly improve engagement and conversation length among elderly individuals in care homes, addressing critical mental health needs. He has also pioneered group-based online job interview training using virtual robots for individuals with autism spectrum disorders (23 citations), a contribution that gained urgency during the COVID-19 pandemic. His research extends to shopping mall recommendations (19 citations), where he showed that physical robot embodiment increases user satisfaction, and to multiparty conversation dynamics, where he developed rule-based methods for generating appropriate bystander robot actions. Sakai’s recent work explores how robots can express understanding of human preferences through dialogue and how consensus between multiple robots can influence user opinions. With over 100 citations across his publications, Sakai is advancing the design of empathetic, context-aware robots that foster meaningful human connections.
Research Focus
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