Papers

9

Total Citations

360

H-Index

7

About

Kayako Nakagawa is a pioneering researcher in human-robot interaction (HRI), whose work explores the subtle yet powerful role of physical and non-verbal communication in shaping human motivation and social bonds with robots. Her most influential contributions center on the "Midas touch" effect in robotics—demonstrating that a robot’s active touch can significantly encourage human effort, as shown in her highly cited 2016 paper (96 citations) and earlier 2011 work (87 citations). By using experimental paradigms like the ultimatum game, she revealed that robot touch can inhibit negative feelings and foster cooperation, while her studies on whispering behaviors and gaze at moments of mistake show how nuanced motions influence persuasion and social impression. Nakagawa also contributed to robot design, co-developing the desktop-sized “robovie-mR2” communication robot, which incorporates a “Kawaii” aesthetic to enhance user acceptance. Her motion modification method for controlling affective nuances (2009, 24 citations) further advanced how robots can express emotion through movement. With over 360 total citations, Nakagawa’s work has profound implications for education and healthcare, where robots can motivate patients and learners through gentle, intentional interaction.

Research Focus

Key Achievements

7
H-Index
9
Papers
360
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Does A Robot’s Touch Encourage Human Effort?
96 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: The University of Tokyo, The University of Osaka, Robotics Research (United States), University of Kara

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago