Kazuki Okumura

The University of Tokyo, Tokyo University of the Arts

Papers

Total Citations

H-Index

About

Kazuki Okumura is a pioneering researcher at the intersection of human-robot interaction, affective computing, and cognitive neuroscience. His primary research focus is the development of socially assistive robots that enhance mental well-being, with a particular emphasis on integrating Brain-Computer Interface (BCI) technology into mindfulness and meditation practices. Okumura’s major contribution lies in demonstrating how robotic systems can serve as dynamic, adaptive guides for mindfulness training, using real-time neurophysiological feedback to tailor the experience to an individual’s cognitive and emotional state. His most-cited work, "Robot-Assisted Mindfulness Practice: Analysis of Neurophysiological Responses and Affective State Change" (2020, 29 citations), provides foundational evidence that robot-mediated meditation can effectively modulate brain activity and improve affective states. This research bridges the gap between traditional contemplative practices and cutting-edge robotics, opening new avenues for accessible, technology-driven mental health interventions. Okumura’s work is notable for its interdisciplinary approach, combining engineering, psychology, and neuroscience to create tangible tools for stress reduction and emotional regulation. His findings are increasingly influential in the fields of assistive robotics and digital therapeutics, positioning him as a key figure in the future of personalized, technology-enhanced well-being.