Papers
6
Total Citations
26
H-Index
3
About
Masayuki Kakio is a pioneering researcher in human-robot interaction, with a focus on making robots more natural and socially acceptable communication partners. His work spans three key areas: humanoid robot behavior design, human-robot communication in shared spaces, and the subtle, reflexive motions that make robots feel more human. Kakio’s most cited paper (2007, 10 citations) explores how users specify physical objects to humanoid robots and how robots can confirm those specifications, laying groundwork for robots that interact as intuitively as family or friends. He has also investigated the impact of a robot’s body swaying on human impressions and motion (2008, 2 citations), showing that natural reflexive behaviors like balancing (2006, 4 citations) can significantly change how people perceive a robot. More recently, Kakio has tackled the practical challenge of mobile robots riding elevators with passengers, designing voice cues (2024, 6 citations) and a mixed-reality system for behavior design (2025, 2 citations) to reduce passenger stress. His contributions are foundational to creating robots that not only function but also communicate and coexist seamlessly in human environments.
Research Focus
Key Achievements
Top Papers
- 1User specification method and humanoid confirmation behavior10 citations · 2007
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