Designing Accessible Visualizations for People with Intellectual and Developmental Disabilities

Visualization amplifies cognition and helps a viewer see the trends, patterns, and outliers in data. However, conventional visualization tools and guidelines do not actively consider the unique needs and abilities of people with Intellectual and Developmental Disabilities (IDD), leaving them excluded from data-driven activities and vulnerable to ethical issues in everyday life. My dissertation work explores the challenges and opportunities of cognitively accessible visualization. Through mixed-method approaches and close collaboration with people with IDD, my team and I ran experiments and developed guidelines to improve current visualizations, we interviewed people with IDD and gained initial understandings of their daily data experiences, and we are currently in the process of revising a participatory design workshop to create accessible visualizations for and with this population. For the remaining dissertation work, I hope to further expand our knowledge of cognitively accessible visualization, translating what I have learned from these experiences into a graphical user interface that supports people with IDD with their self-advocacy and self-expression using personally relevant data. My ultimate career goal is to theorize cognitively accessible visualization and empower people with IDD to make informed decisions and generate meaningful discoveries through accessible visual analytics.