Masatomo Kobayashi

IBM Research - Tokyo

Papers

5

Total Citations

36

H-Index

4

About

Masatomo Kobayashi is a pioneering researcher at the intersection of human-robot interaction, gerontechnology, and cognitive health. His work focuses on leveraging robotic systems to address critical challenges in aging populations, particularly in the early detection of dementia and the facilitation of remote communication for seniors. Kobayashi’s most significant contribution is his development of a novel screening method for Mild Cognitive Impairment (MCI) using conversational humanoid robots. His 2022 exploratory pilot study, which has garnered 13 citations, demonstrated that analyzing prosodic and acoustic features during natural conversations with robots can effectively detect early signs of cognitive decline, offering a less invasive and more scalable alternative to traditional neuropsychological exams. Beyond diagnostics, Kobayashi has advanced telepresence robotics for senior communities, designing hands-free collaboration systems that reduce cognitive load on elderly users. His work on the Augmented Live Communication Workspace platform further supports senior workers by enhancing their cognitive abilities through technology. With over 36 citations across his key publications, Kobayashi is shaping a future where robots serve as both companions and diagnostic tools, improving quality of life for aging populations worldwide.

Research Focus

Key Achievements

4
H-Index
5
Papers
36
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Screening of Mild Cognitive Impairment Through Conversations With Humanoid Robots: Exploratory Pilot Study
13 citations · 2022
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: IBM Research - Tokyo

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago