Kihara Hayato
Papers
1
Total Citations
4
H-Index
1
About
Kihara Hayato’s research lies at the fascinating intersection of human-robot interaction and non-verbal communication, with a particular focus on how subtle physical cues—especially nodding—can transform collaborative dynamics. His most cited work, “Analysis of Human Nodding Behavior during Group Work for Designing Nodding Robots” (2016, 4 citations), provides a foundational framework for understanding how nodding functions in human dialogue, serving purposes as varied as signaling agreement, emphasizing key points, managing turn-taking, and fostering positive interpersonal impressions. By systematically analyzing these behaviors in group settings, Hayato has laid crucial groundwork for designing robots that can replicate these nuanced social signals, aiming to make human-robot collaboration more intuitive and effective. His research directly addresses the challenge of creating machines that not only understand but also actively contribute to the flow of human conversation, potentially revolutionizing fields from education to workplace teamwork. While his citation count reflects an emerging career, the specificity and practical ambition of his work signal a researcher poised to make significant contributions to socially aware robotics.
Research Focus
Key Achievements
Top Papers
- 1