Midori Ban
Papers
10
Total Citations
148
H-Index
6
About
Midori Ban is a pioneering researcher in human-robot interaction (HRI), with a focus on the psychological and social dimensions of how people perceive and relate to robots. Her work explores mind perception, self-disclosure, and the design of robots as counselors, educators, and companions. Ban’s most-cited paper (53 citations) uses the Semantic Differential Scale to reveal that humans perceive minds in robots along two dimensions—experience and agency—fundamentally shaping how we design empathetic machines. Her influential 2017 study (41 citations) on robot counseling systems shows that people are more willing to disclose intrusive topics to robots than to humans, highlighting robots’ potential in mental health support. Ban has also broken new ground with edible robots (2024, 10 citations), examining how animated food consumption affects human psychology, and with systematic reviews on robot-assisted language learning for adults (6 citations). Her work on rhythmic synchronization, persuasive robots, and privacy consent further demonstrates her broad impact. With over 150 total citations, Ban is shaping the future of socially aware robotics, making her research essential for students and scholars interested in the intersection of psychology, technology, and human-centered design.
Research Focus
Key Achievements
Top Papers
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- 6A systematic review on robot-assisted language learning for adults6 citations · 2024
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