Papers

6

Total Citations

92

H-Index

3

About

Kaiko Kuwamura is a pioneering researcher in human-robot interaction, specializing in how teleoperated robots can facilitate communication for vulnerable populations, particularly seniors with dementia. Her major contributions lie in demonstrating that robots like Telenoid can enable meaningful, face-to-face-like conversations for individuals with Alzheimer’s disease, as shown in her highly cited 2016 study (45 citations), where two out of three residents engaged more naturally with the robot than in direct human interaction. She also explores the psychological impact of robot design, notably in her 2012 work (25 citations) on how a robot’s appearance can distort the operator’s personality, a critical insight for telecommunication. Kuwamura’s research extends to using ubiquitous sensing and robot interaction to automatically classify dementia severity (2019, 14 citations), blending robotics with healthcare analytics. Her notable achievements include long-term fieldwork in group homes, proving that robots can activate embodied communication in dementia care. By addressing both the technical and social dimensions of robotic telepresence, Kuwamura has shaped a compassionate, evidence-based approach to assistive robotics, inspiring future work on positive communication design for aging populations.

Research Focus

Key Achievements

3
H-Index
6
Papers
92
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Can We Talk through a Robot As if Face-to-Face? Long-Term Fieldwork Using Teleoperated Robot for Seniors with Alzheimer's Disease
45 citations · 2016
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: The University of Osaka, Advanced Telecommunications Research Institute International, Osaka City University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago