About

Katsunori Shimohara is a pioneering researcher whose work spans human-robot interaction, social robotics, and computational intelligence. With deep roots in neural network-based signal processing — evidenced by his influential 1992 paper on EMG pattern recognition for multi-finger control (38 citations) — Shimohara has evolved into a leading figure exploring how humans and robots communicate, coordinate, and build social rapport. His most celebrated contributions examine the social dynamics of human-robot interaction. His work on lexical entrainment (52 citations) and gesture synchrony (29 citations) reveals how humans and robots unconsciously align their communication styles, while his studies on touch interaction (50 citations) and "kawaii" emotional perception illuminate the subtle psychological dimensions of robotic presence. Particularly distinctive is his "two is better than one" research series, demonstrating that praise and apologies from multiple robots amplify positive outcomes in motor learning, children's education, and error recovery — findings with significant implications for designing effective social robot teams. Shimohara's research consistently bridges cognitive science, affective computing, and robotics engineering, making substantial contributions to fields ranging from multi-robot coordination (29 citations) to child-centered educational robotics (25 citations). His body of work, accumulating hundreds of citations across three decades, offers foundational insights for researchers designing robots that genuinely enhance human social and learning experiences.

Research Focus

Key Achievements

13
H-Index
56
Papers
598
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Lexical Entrainment in Human Robot Interaction
52 citations · 2014
📈 Most Prolific Year: 2021 (5 Papers)
🤝 Key Collaborators: 52
🏛 Institutions: Doshisha University, NTT (Japan), Yonsei University, Research Organization of Information and Systems, Advanced Telecommunications Research Institute International, Kyoto University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago