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

Abstract

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.

Authors
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
Paper URL

https://doi.org/10.1145/3544548.3581204

Video

Conference: CHI 2023

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

Session: Vis and People

Room Y05+Y06
6 items in this session
2023-04-26 09:00:00
2023-04-26 10:30:00