Readings in information visualization
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Using haptic cues to aid nonvisual structure recognition
ACM Transactions on Applied Perception (TAP)
overView: physically-based vibrotactile feedback for temporal information browsing
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
Proceedings of the 2010 International Cross Disciplinary Conference on Web Accessibility (W4A)
ACM Transactions on Accessible Computing (TACCESS)
Using qualitative eye-tracking data to inform audio presentation of dynamic Web content
The New Review of Hypermedia and Multimedia - Web Accessibility
Synesthetic video: hearing colors, seeing sounds
Proceedings of the 14th International Academic MindTrek Conference: Envisioning Future Media Environments
Setting the table for the blind
Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: applications and services for quality of life - Volume Part III
Evaluating a Tool for Improving Accessibility to Charts and Graphs
ACM Transactions on Computer-Human Interaction (TOCHI)
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This paper describes the design and preliminary testing of an interface to obtain overview information from complex numerical data tables non-visually, which is something that cannot be done with currently available accessibility tools for the blind and visually impaired users. A sonification technique that hides detail in the data and highlights its main features without doing any computations to the data, is combined with a graphics tablet for focus+context interactive navigation, in an interface called TableVis. Results from its evaluation suggest that this technique can deliver better scores than speech in time to answer overview questions, correctness of the answers and subjective workload.