Kiyotaka Nemoto
Papers
2
Total Citations
18
H-Index
2
About
Kiyotaka Nemoto is a pioneering researcher at the intersection of geriatric psychiatry and human-robot interaction, whose work focuses on the early detection of cognitive decline through conversational AI. His primary research areas include mild cognitive impairment (MCI) screening, prosodic and acoustic analysis of speech, and the deployment of humanoid robots in elderly care settings. Nemoto’s major contribution lies in demonstrating that conversational humanoid robots can serve as non-invasive, scalable screening tools for MCI, potentially enabling earlier intervention for dementia. His most cited work, the 2022 exploratory pilot study "Screening of Mild Cognitive Impairment Through Conversations With Humanoid Robots" (13 citations), established a foundational methodology for detecting subtle speech biomarkers during naturalistic robot-patient interactions. A subsequent 2021 study (5 citations) further refined these acoustic and prosodic features, showing that robot-facilitated conversations could reliably differentiate MCI patients from healthy controls. By bridging robotics, computational linguistics, and clinical geriatrics, Nemoto’s research offers a promising pathway toward accessible, low-stress cognitive assessments that could transform dementia care. His work stands out for its human-centered approach, leveraging technology not to replace clinicians but to augment early detection in community and home settings.
Research Focus
Key Achievements
Top Papers
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