Accessibility in Data Visualizations: Two Case Studies
summary
Two case studies address accessibility in data visualizations: one shows usability testing with three blind users where Google Slides exports to PDF read well with VoiceOver but produced inconsistent reading order and missing alt text with Windows/JAWS, requiring Adobe Pro cleanup. The other describes a custom healthcare dashboard built without relying on color alone—using textures, icons, bold type, redundant legends, keyboard-accessible filters, and optional animation off—tested with tools like Figma plugins, Color Oracle, contrast checkers, and VoiceOver for quick checks.
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chapters (20)
- 0:00Introduction
- 0:40Welcome
- 2:00Who we are
- 3:26Caterina
- 4:00What does it mean to make accessible data visualizations?
- 6:48What does it mean for blind people to experience this type of product?
- 12:47Designing a web platform in the healthcare sector
- 13:09What needs did we work on?
- 13:53What information did we collect?
- 15:34What exactly do we do?
- 19:06How we applied best practices
- 22:43Color blindness
- 23:43Distinguishing between patterns
- 24:31Matching names to colors
- 25:23Maps
- 26:47Conclusions
- 27:35Tools and sources
- 27:53Acknowledgments
- 28:30Questions
- 29:21Is the platform under development?
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