Papers
2
Total Citations
18
H-Index
2
About
Miho Ota 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. Her primary research areas include mild cognitive impairment (MCI) screening, humanoid robotics in elderly care, and acoustic-prosodic analysis of speech. Ota’s major contribution lies in demonstrating that humanoid robots can serve as effective, non-invasive screening tools for early-stage dementia. In her landmark 2022 exploratory pilot study, she showed that analyzing conversations with robots could reliably differentiate MCI patients from healthy controls, achieving 13 citations and establishing a novel paradigm for accessible cognitive assessment. Her earlier 2021 work laid the groundwork by identifying specific prosodic and acoustic biomarkers during robot-mediated interactions. This research is particularly impactful given the global rise in dementia cases and the shortage of specialized clinicians. Ota’s innovative approach not only advances early diagnosis but also leverages robots to enhance quality of life for the elderly, making cognitive screening more scalable, less intimidating, and potentially deployable in everyday care settings.
Research Focus
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Top Papers
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