About

Takahisa Uchida is a pioneering researcher in human-robot interaction, with a particular focus on conversational robotics, social dialogue systems, and robot-assisted mental health applications. His work centers on designing android robots capable of natural, meaningful exchanges with humans — tackling challenges ranging from dialogue breakdown recovery to self-disclosure dynamics and user motivation. Uchida's most influential contribution explores the potential of robot counseling systems, investigating whether people are more willing to disclose sensitive personal topics to robots than to human counselors — a finding with profound implications for mental health support technology (41 citations). His subsequent studies revealed that young women showed little discrimination between robots and humans as confidants, reinforcing the therapeutic promise of conversational androids. He has also advanced dialogue strategies that encourage users to cooperatively navigate conversation failures (19 citations) and developed preference-modeling techniques that boost dialogue satisfaction (18 citations). Beyond social robotics, Uchida's earlier work addressed assistive mobile robots for bedridden patients, demonstrating a longstanding commitment to improving quality of life through intelligent systems. His research consistently blends technical innovation with psychological insight, applying conversation analysis and attribution theory to build robots that feel genuinely engaging. With over 140 cumulative citations, Uchida's scholarship represents a vital bridge between robotics engineering and human-centered design.

Research Focus

Key Achievements

8
H-Index
16
Papers
159
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A robot counseling system — What kinds of topics do we prefer to disclose to robots?
41 citations · 2017
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: The University of Osaka, Advanced Telecommunications Research Institute International, Shibaura Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago