43 citations · 112 across the 9 of their papers we have counts for
11 papers
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…
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…
Exploring Immersive Interpersonal Communication via AR
Kyungjun Lee, Hong Li, Muhammad Rizky Wellyanto +5
A central challenge of social computing research is to enable people to communicate expressively with each other remotely. Augmented reality has great promise for expressive commun…
What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?
Yang Trista Cao, Kyle Seelman, Kyungjun Lee +1
In visual question answering (VQA), a machine must answer a question given an associated image. Recently, accessibility researchers have explored whether VQA can be deployed in a r…
Blind Users Accessing Their Training Images in Teachable Object Recognizers
Jonggi Hong, Jaina Gandhi, Ernest Essuah Mensah +4
Iteration of training and evaluating a machine learning model is an important process to improve its performance. However, while teachable interfaces enable blind users to train an…
From the Lab to People's Home: Lessons from Accessing Blind Participants' Interactions via Smart Glasses in Remote Studies
Kyungjun Lee, Jonggi Hong, Ebrima Jarjue +2
Researchers have adopted remote methods, such as online surveys and video conferencing, to overcome challenges in conducting in-person usability testing, such as participation, use…