37 citations · 75 across the 6 of their papers we have counts for
6 papers
Beyond Omakase: Designing Shared Control for Navigation Robots with Blind People
Rie Kamikubo, Seita Kayukawa, Yuka Kaniwa +4
Autonomous navigation robots can increase the independence of blind people but often limit user control, following what is called in Japanese an "omakase" approach where decisions…
AccessShare: Co-designing Data Access and Sharing with Blind People
Rie Kamikubo, Farnaz Zamiri Zeraati, Kyungjun Lee +1
Blind people are often called to contribute image data to datasets for AI innovation with the hope for future accessibility and inclusion. Yet, the visual inspection of the contrib…
"We are at the mercy of others' opinion": Supporting Blind People in Recreational Window Shopping with AI-infused Technology
Rie Kamikubo, Hernisa Kacorri, Chieko Asakawa
Engaging in recreational activities in public spaces poses challenges for blind people, often involving dependency on sighted help. Window shopping is a key recreational activity t…
Contributing to Accessibility Datasets: Reflections on Sharing Study Data by Blind People
Rie Kamikubo, Kyungjun Lee, Hernisa Kacorri
To ensure that AI-infused systems work for disabled people, we need to bring accessibility datasets sourced from this community in the development lifecycle. However, there are man…
Data Representativeness in Accessibility Datasets: A Meta-Analysis
Rie Kamikubo, Lining Wang, Crystal Marte +2
As data-driven systems are increasingly deployed at scale, ethical concerns have arisen around unfair and discriminatory outcomes for historically marginalized groups that are unde…
Sharing Practices for Datasets Related to Accessibility and Aging
Rie Kamikubo, Utkarsh Dwivedi, Hernisa Kacorri
Datasets sourced from people with disabilities and older adults play an important role in innovation, benchmarking, and mitigating bias for both assistive and inclusive AI-infused…