Data are commonly visualized to support users in detecting trends, recognizing anomalies or finding relationships. Research on accessibility of data visualization has focused on Blind and Low Vision users for decades, but there is growing attention to other communities, e.g., people with intellectual and developmental disabilities.
With Large Language Models new approaches become possible to support both authors in creating accessible creating information representations as well as consumers of charts in understanding the data from many different sources in education, at the job, at home, or as part of the news.
This Special Thematic Session (STS) addresses research to increase our understanding of
- haptification and sonification of data
- interactive systems supporting large data sets
- design of data physicalisation
- accessible authoring tools for accessible data visualisations
- maps containing data
- interaction with dynamically progressive data sources (such as during production, or in a smart home
- evaluation methods involving complex data sets
Chairs
Gerhard Weber, Dresden University of Technology
Helen Petrie, University of York