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Describing and assessing image descriptions for visually impaired web users with IDAT

Brayshaw, Mike; Nganji, Julius T.; Brayshaw, Michael; Tompsett, Brian

Authors

Mike Brayshaw

Julius T. Nganji

Michael Brayshaw M.Brayshaw@hull.ac.uk

Abstract

People with visual impairments, particularly blind people face alot of difficulties browsing the web with assistive technologies such as screen readers, when websites do not conform to accessibility standards and are thus inaccessible. HTML is the basic language for website design but its ALT attribute on the IMG element does not adequately capture comprehensive image semantics and description in a way that can be accurately interpreted by screen readers, hence blind people do not usually get the complete description of the image. Most of the problems however arise from web designers and developers not including a description of an image or not comprehensively describing these images to people with visual impairments. In this paper, we propose the use of the Image Description Assessment Tool (IDAT), a Java-based tool containing some proposed heuristics for assessing how well an image description matches the real content of the image on the web. The tool also contains a speech interface which can enable a visually impaired individual to listen to the description of an image that has been uploaded unto the system.

Journal Article Type Conference Paper
Publication Date Jan 1, 2013
Print ISSN 2194-5357
Electronic ISSN 2194-5357
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 179
Pages 27-37
ISBN 9783642316029
Institution Citation Brayshaw, M., Nganji, J. T., Brayshaw, M., & Tompsett, B. (2013). Describing and assessing image descriptions for visually impaired web users with IDAT. Advances in Intelligent Systems and Computing, 179, 27-37. https://doi.org/10.1007/978-3-642-31603-6_3
DOI https://doi.org/10.1007/978-3-642-31603-6_3
Publisher URL http://link.springer.com/chapter/10.1007%2F978-3-642-31603-6_3