MAIDR: Making Statistical Visualizations Accessible with Multimodal Data Representation
Author:
Affiliation:
1. School of Information Sciences, University of Illinois at Urbana-Champaign, United States
2. Microsoft Research, United States
3. TransPerfect, United States
4. University of Illinois at Urbana-Champaign, United States
Funder
IMLS Laura Bush 21st Century Librarian Program
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3613904.3642730
Reference67 articles.
1. Apple. 2023. Audio Graphs | Apple Developer Documentation. https://developer.apple.com/documentation/accessibility/audio_graphs.
2. Evaluation of Long Descriptions of Statistical Graphics for Blind and Low Vision Web Users
3. Interdependence as a Frame for Assistive Technology Research and Design
4. Matt Blanco, Jonathan Zong, and Arvind Satyanarayan. 2022. Olli: An Extensible Visualization Library for Screen Reader Accessibility. In IEEE VIS Posters.
5. John Brooke. 1996. Sus: a “quick and dirty’usability. Vol. 189. Taylor & Francis. 189–194 pages.
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