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03/09/2023
Contributing to Accessibility Datasets: Reflections on Sharing Study Data by Blind People
To ensure that AI-infused systems work for disabled people, we need to b...
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08/16/2022
Blind Users Accessing Their Training Images in Teachable Object Recognizers
Iteration of training and evaluating a machine learning model is an impo...
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07/16/2022
Data Representativeness in Accessibility Datasets: A Meta-Analysis
As data-driven systems are increasingly deployed at scale, ethical conce...
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03/08/2022
From the Lab to People's Home: Lessons from Accessing Blind Participants' Interactions via Smart Glasses in Remote Studies
Researchers have adopted remote methods, such as online surveys and vide...
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09/23/2021
Exploring Machine Teaching with Children
Iteratively building and testing machine learning models can help childr...
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09/13/2021
Accessing Passersby Proxemic Signals through a Head-Worn Camera: Opportunities and Limitations for the Blind
The spatial behavior of passersby can be critical to blind individuals t...
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08/24/2021
Sharing Practices for Datasets Related to Accessibility and Aging
Datasets sourced from people with disabilities and older adults play an ...
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03/26/2020
Pedestrian Detection with Wearable Cameras for the Blind: A Two-way Perspective
Blind people have limited access to information about their surroundings...
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02/28/2020
Hand-Priming in Object Localization for Assistive Egocentric Vision
Egocentric vision holds great promises for increasing access to visual i...
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02/05/2020
Crowdsourcing the Perception of Machine Teaching
Teachable interfaces can empower end-users to attune machine learning sy...
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08/22/2019
