Papers
9
Total Citations
36
H-Index
4
About
Komei Hasegawa’s research lies at the intersection of human-robot interaction, telepresence, and social robotics, with a focus on designing robots that communicate naturally and foster collaboration. His major contributions include pioneering work on how robots can elicit altruistic behavior from humans—demonstrated in a field study where a failing robot prompted children in a kindergarten to offer help (9 citations). He also advanced telepresence robotics by developing systems that use exaggerated non-verbal cues, such as pre-motions, to prevent speech collisions in multi-party teleconferences, improving turn-taking for remote participants. Hasegawa’s notable achievements include the “Mako-no-te” concept, which challenges traditional leader-follower dynamics in human-machine interaction, and the “Pocketable-Bones” project, a self-augmenting mobile robot that mediates sociality by considering human gaze. His work on adaptive behavior generation for conversational robots in negotiation environments further highlights his impact, with cumulative citations exceeding 30 across his most-cited papers. Hasegawa’s research is essential reading for students and researchers interested in creating robots that are not just functional but socially intuitive, capable of learning from and with humans.
Research Focus
Key Achievements
Top Papers
- 1I Can Help You9 citations · 2017
- 2Toward Understanding Pedagogical Relationship in Human-Robot Interaction6 citations · 2016
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- 5A simple bi-layered architecture to enhance the liveness of a robot4 citations · 2017
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- 7Unconscious gestures that empower turn taking for telepresence robot2 citations · 2014
- 8Mako-no-te2 citations · 2019
- 9Pocketable-Bones: Self-Augment Mobile Robot Mediating our Sociality1 citations · 2023