Kazuyuki Matsumoto
Papers
12
Total Citations
170
H-Index
6
About
Kazuyuki Matsumoto is a researcher whose work spans affective computing, human-robot interaction, and natural language processing, with a particular focus on developing compassionate communication systems for healthcare robotics. Over more than two decades, Matsumoto has built a distinctive research trajectory that bridges emotional intelligence and assistive technology, addressing one of Japan's most pressing societal challenges: caring for an aging population with conditions such as dementia. His most influential contribution explores the development of healthcare robots capable of compassionate communication with older adults, garnering 45 citations and establishing him as a key voice in this emerging field. Complementing this, his investigations into Mori's Uncanny Valley as it applies to artificial affective communication and his optimization of humanoid robot dialogue have further shaped how researchers approach human-robot conversational design. Earlier foundational work on emotion measurement systems and emotion estimation from text, dating back to the mid-2000s, demonstrates the long arc of his inquiry into machine understanding of human feeling. More recently, Matsumoto has applied deep neural networks to dialogue breakdown detection, pushing the field toward more robust and contextually aware conversational agents. With a career spanning mechanical engineering — evidenced by his highly cited 1994 analysis of cycloid planetary gears — through cutting-edge robotics and emotional AI, Matsumoto represents an unusually broad and impactful interdisciplinary research vision.
Research Focus
Key Achievements
Top Papers
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- 5Estimating human emotions using wording and sentence patterns15 citations · 2006
- 6Researches on the emotion measurement system7 citations · 2004
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