Contributing to Accessibility Datasets: Reflections on Sharing Study Data by Blind People
Contributing to Accessibility Datasets: Reflections on Sharing Study Data by Blind People
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Date
2023-04-23
Authors
Kamikubo, Rie
Lee, Kyungjun
Kacorri, Hernisa
Advisor
Citation
Rie Kamikubo, Kyungjun Lee, and Hernisa Kacorri. 2023. Contributing to Accessibility Datasets: Refections on Sharing Study Data by Blind People. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23), April 23–28, 2023, Hamburg, Germany. ACM, New York, NY, USA, 18 pages.
Abstract
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 many ethical and privacy concerns limiting greater data inclusion, making such datasets
not readily available. We present a pair of studies where 13 blind
participants engage in data capturing activities and refect with and
without probing on various factors that infuence their decision
to share their data via an AI dataset. We see how diferent factors
infuence blind participants’ willingness to share study data as they
assess risk-beneft tradeofs. The majority support sharing of their
data to improve technology but also express concerns over commercial use, associated metadata, and the lack of transparency about
the impact of their data. These insights have implications for the
development of responsible practices for stewarding accessibility
datasets, and can contribute to broader discussions in this area.