Kaoru Shinkawa
Papers
2
Total Citations
18
H-Index
2
About
Kaoru Shinkawa is a pioneering researcher at the intersection of geriatric healthcare and human-robot interaction, whose work focuses on the early detection of cognitive decline through natural conversation. Shinkawa’s key research area involves leveraging humanoid robots as non-invasive screening tools for Mild Cognitive Impairment (MCI), a precursor to dementia. Their major contribution lies in demonstrating that subtle prosodic and acoustic features in everyday speech—captured during casual interactions with robots—can reliably signal early cognitive changes. This approach offers a scalable, low-stress alternative to traditional neuropsychological exams. Shinkawa’s most cited work, the 2022 exploratory pilot study (13 citations), established the feasibility of this method, while a subsequent 2021 study (5 citations) refined the analytical framework. By integrating robotics with speech analysis, Shinkawa is helping to address the global challenge of dementia detection, aiming to improve quality of life for aging populations. Their research holds promise for transforming elderly care through accessible, engaging, and proactive health monitoring.
Research Focus
Key Achievements
Top Papers
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