Data, Data, Everywhere: Uncovering Everyday Data Experiences for People with Intellectual and Developmental Disabilities

要旨

Data is everywhere, but may not be accessible to everyone. Conventional data visualization tools and guidelines often do not actively consider the specific needs and abilities of people with Intellectual and Developmental Disabilities (IDD), leaving them excluded from data-driven activities and vulnerable to ethical issues. To understand the needs and challenges people with IDD have with data, we conducted 15 semi-structured interviews with individuals with IDD and their caregivers. Our algorithmic interview approach situated data in the lived experiences of people with IDD to uncover otherwise hidden data encounters in their everyday life. Drawing on findings and observations, we characterize how they conceptualize data, when and where they use data, and what barriers exist when they interact with data. We use our results as a lens to reimagine the role of visualization in data accessibility and establish a critical near-term research agenda for cognitively accessible visualization.

著者
Keke Wu
University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
Michelle H. Tran
University of Colorado Boulder, Boulder, Colorado, United States
Emma Petersen
University of Colorado Boulder, Boulder, Colorado, United States
Varsha Koushik
Colorado College, Colorado Springs, Colorado, United States
Danielle Albers. Szafir
University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, United States
論文URL

https://doi.org/10.1145/3544548.3581204

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Vis and People

Room Y05+Y06
6 件の発表
2023-04-26 18:00:00
2023-04-26 19:30:00