ChitChatGuide: How Can A Guidance System with Large Language Models Impact Shopping Mall Experiences for People with Visual Impairments?
- Yuka Kaniwa
- Masaki Kuribayashi
- et al.
- 2024
- MobileHCI 2024
Seita Kayukawa
Title
Research Scientist
Bio
Seita Kayukawa is a Research Scientist of the Accessibility Research team at IBM Research – Tokyo.
He is working on robotics and smartphone-based assistive systems for people with visual impairments.
Research Area and Interests:
- Human-Computer Interaction
- Accessibility
Education:
- 2022, Ph.D. of Engineering, Graduate School of Advanced Science and Engineering, Waseda University
- 2020, Master of Engineering, Graduate School of Advanced Science and Engineering, Waseda University
Links:
Publications
Snap&Nav: Smartphone-based Indoor Navigation System For Blind People via Floor Map Analysis and Intersection Detection
- Masaya Kubota
- Masaki Kuribayashi
- et al.
- 2024
- MobileHCI 2024
Direct or Immersive? Comparing Smartphone-based Museum Guide Systems for Blind Visitors
- Xiyue Wang
- Seita Kayukawa
- et al.
- 2024
- W4A 2024
Guiding Blind Pedestrians in Public Spaces by Understanding Walking Behavior of Nearby Pedestrians
- 2020
- ACM IMWUT
Projects
AI Suitcase
Helping visually-impaired users to independently walk around and self-navigate
Top collaborators
HT
Hironobu Takagi
Accessibility Research, STSM, IBM Research - Tokyo
CA
Chieko Asakawa
IBM Fellow
TI
Tatsuya Ishihara
Researcher