Masatomo Kobayashi

Overview

Title

Senior Research Scientist, Digital Health

Location

IBM Research - Tokyo Tokyo, Japan

Bio

Masatomo Kobayashi is a research scientist in the Digital Health team at IBM Research – Tokyo. He received his Ph.D. in computer science from the University of Tokyo and joined IBM in 2008. His research interest is everyday human-computer interactions through screen, speech, and other IoT interfaces. From 2011 to 2020, he served as the development leader of Senior Cloud, a joint-study project with the University of Tokyo that aimed to develop an innovative ICT platform for a super-aged society. He is the chief examiner of IPSJ SIG AAC (Assistive & Accessible Computing).

Publications

Structural Cerebral Network Differences in Prodromal Alzheimer’s Disease and Prodromal Dementia with Lewy Bodies
- - Miho Ota
  - Kiyotaka Nemoto
  - et al.
- 2022
- Dement Geriatr Cogn Disord
Automated Analysis of Drawing Process for Detecting Prodromal and Clinical Dementia
- - Yasunori Yamada
  - Masatomo Kobayashi
  - et al.
- 2022
- ICDH 2022
Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets
- - Yasunori Yamada
  - Kaoru Shinkawa
  - et al.
- 2022
- JMIR Formative Research
Can AI make people happy? The effect of AI-based chatbot on smile and speech in Parkinson's disease
- - Mayuko Ogawa
  - Genko Oyama
  - et al.
- 2022
- Parkinsonism and Related Disorders
Characteristics of Drawing Process Differentiate Alzheimer's Disease and Dementia with Lewy Bodies
- - Yasunori Yamada
  - Masatomo Kobayashi
  - et al.
- 2021
- JAD
Automated Early Detection of Alzheimer's Disease by Capturing Impairments in Multiple Cognitive Domains with Multiple Drawing Tasks
- - Masatomo Kobayashi
  - Yasunori Yamada
  - et al.
- 2021
- Journal of Alzheimer's Disease
Using speech data from interactions with a voice assistant to predict the risk of future accidents for older drivers: Prospective cohort study
- - Yasunori Yamada
  - Kaoru Shinkawa
  - et al.
- 2021
- JMIR
Tablet-Based Automatic Assessment for Early Detection of Alzheimer's Disease Using Speech Responses to Daily Life Questions
- - Yasunori Yamada
  - Kaoru Shinkawa
  - et al.
- 2021
- Frontiers in Digital Health
A study for detecting mild cognitive impairment by analyzing conversations with humanoid robots
- - Kenta Yoshii
  - Masafumi Nishimura
  - et al.
- 2021
- LifeTech 2021
Combining Multimodal Behavioral Data of Gait, Speech, and Drawing for Classification of Alzheimer's Disease and Mild Cognitive Impairment
- - Yasunori Yamada
  - Kaoru Shinkawa
  - et al.
- 2021
- Journal of Alzheimer's Disease

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Patents

Skill Estimation Method In Machine-human Hybrid Crowdsourcing
- 31 Jul 2017
- US
- 9721221
Estimation Method, Estimation System, Computer System And Program
- 09 Jun 2016
- JP
- 5946073
Aiding In Creating, Extending, And Verifying Accessibility Metadata
- 23 Sep 2013
- US
- 8543908
Computer System-implemented Methods For Aiding In Creating, Extending, And Verifying Accessibility Metadata
- 02 Mar 2012
- JP
- 4936295

Blog posts

Daily chats with AI could help spot early signs of Alzheimer’s
Research
Masatomo Kobayashi, Kaoru Shinkawa, and Yasunori Yamada
20 Apr 2021
3 minute read
- AI
- Healthcare

Top collaborators

Yasunori Yamada

Senior Research Scientist & Technical Lead for Digital Health, IBM Research - Tokyo.