30 citations · 49 across the 4 of their papers we have counts for
4 papers
Understanding How Blind Users Handle Object Recognition Errors: Strategies and Challenges
Jonggi Hong, Hernisa Kacorri
Object recognition technologies hold the potential to support blind and low-vision people in navigating the world around them. However, the gap between benchmark performances and p…
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…
Crowdsourcing the Perception of Machine Teaching
Jonggi Hong, Kyungjun Lee, June Xu +1
Teachable interfaces can empower end-users to attune machine learning systems to their idiosyncratic characteristics and environment by explicitly providing pertinent training exam…