Nahoko Kameo
Papers
2
Total Citations
6
H-Index
1
About
Nahoko Kameo is a pioneering researcher at the intersection of human-robot interaction (HRI) and conversation analysis, dedicated to designing socially intelligent robots that feel natural and engaging in everyday settings. Her primary research areas include dialogue systems, non-verbal communication, and the application of ethnomethodological methods to robotics. Kameo’s most notable contribution is her 2024 study, “Improving the closing sequences of interaction between human and robot through conversation analysis,” which introduces a recursive model for ending conversations more naturally—a critical yet often overlooked aspect of HRI. This work has already garnered 5 citations, signaling its growing influence. In a complementary study on “Effects of Gestures and Negative Attitudes on Impressions of Lecturing Robots,” she demonstrates how android avatars can use gestures to shape audience perceptions, with implications for education and public speaking. Kameo’s research is distinguished by its rigorous empirical grounding in human conversational practices, aiming to create robots that users *want* to interact with repeatedly. Her work bridges sociology and engineering, offering a human-centered path toward more pleasant, trustworthy robotic companions.
Research Focus
Key Achievements
Top Papers
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- 2