Automatic, intuitive zooming for people who are blind or visually impaired.
Abstract
In this paper we present a novel technique of automatic, "intuitive" zooming of graphical information for individuals who are blind or visually impaired. The idea is to automatically choose for the user only zoom levels with significantly different content than the last and which preserve the cognitive grouping of information (such as whole objects or whole object parts) thereby making "intuitive" sense. The algorithm uses wavelet analysis to localize the details of a graphic. It then uses methods looking at the clustering of details to decide on the levels of zoom. An initial pilot study is presented that uses this zooming method with three individuals who are visually impaired and four who are sighted. Results show that all participants liked intuitive zooming over areas of details and being prevented from zooming when no details were present. Almost all participants required zooming to perform the identification task, which had an 86% correct rate.
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In a comparison of fixed-zoom and functional-zoom methods, the functional-zoom method was most efficient for non-visual zooming across cognitive and usability measures.
“Results found that across cognitive and usability measures, the functional-zoom method was most efficient for supporting non-visual zooming operations, which was congruent with earlier work that evaluated level-based zooming operations on tactile diagrams [61,63].”
From Design Guidelines and Recommendations for Multimodal, Touchscreen-based Graphics (2020) · cites this paper as [61]
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Design Guidelines and Recommendations for Multimodal, Touchscreen-based Graphics
Gorlewicz, J. L., Tennison, J. L., Uesbeck, P. M., Richard, M. E., Palani, H. P., Stefik, A., Smith, D. W., & Giudice, N. A. (2020) · ACM Transactions on Accessible Computing · doi:10.1145/3403933 · Cited by 53 · see citing works
Intuitive Tactile Zooming for Graphics Accessed by Individuals Who are Blind and Visually Impaired
Rastogi, R., Pawluk, T. V. D., & Ketchum, J. (2013) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2013.2250520 · Cited by 38 · see citing works
Self-citation
- Authors
- Rastogi, R., & Pawluk, D. T. V.
- Affiliations
- Virginia Commonwealth University (US)
- Venue
- Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility
- Publisher
- ACM
- Published
- 2010-10-25
- Pages
- 239-240
- OpenAlex
- W2073319664
- Cited by
- 11
- References
- 0
- Citations by year
- 2023: 2 · 2019: 1 · 2017: 1 · 2016: 2 · 2013: 4 · 2012: 1
- FWCI
- 3.12
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Keywords
- blind users, visually impaired users, assistive technology, wavelet analysis, object identification, graphical information
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