Abstract
Blind people are at risk of being left behind in the information age if efforts are not made to improve the access to information that is not traditionally conveyed in text, whether that text be accessed in braille, audio, or a computer’s screen reading software. Most graphics summarise a scene or some aspect of data that the author hopes will inform their audience; good statistical graphics are commonly used to great effect for the sighted world, but are practically useless to a blind audience. Our work aims to provide an accessible way for blind users to easily, efficiently, and most importantly accurately, explore and query the data contained in diagrams such as bar charts, box plots, time series, and many more. We employ the statistical software environment R to compute rich semantics for these diagrams and make them web accessible by supporting screen reading and interactive exploration.
Original language | English |
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Title of host publication | Proceedings of the 14th Web for All Conference, W4A 2017 |
Subtitle of host publication | The Future of Accessible Work |
Publisher | Association for Computing Machinery |
Number of pages | 4 |
ISBN (Print) | 978-1-4503-4900-0 |
DOIs | |
Publication status | Published - 2 Apr 2017 |
Event | The 14th Web for All Conference (W4A 2017) - Perth, Australia Duration: 2 Apr 2017 → 4 Apr 2017 |
Conference
Conference | The 14th Web for All Conference (W4A 2017) |
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Country/Territory | Australia |
City | Perth |
Period | 2/04/17 → 4/04/17 |
Keywords
- accessible diagrams
- Statistics
- STEM Accessibility