Evaluation of image accessibility for visually impaired users
The accessibility of website images is influenced by the availability and accuracy of descriptive text and its compatibility with image complexity and purpose. Image accessibility evaluation cannot be fully affected through applying one method, and can be enhanced by inclusion of processes that cons...
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Universitat Politècnica de Catalunya
2018-11-01
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doaj-608a67c783d547ee8a250584f5d2b4c32020-11-25T01:22:10ZengUniversitat Politècnica de CatalunyaJournal of Accessibility and Design for All2013-70872013-70872018-11-018212516010.17411/jacces.v8i2.167116Evaluation of image accessibility for visually impaired usersTahani Alahmadi0Steve Drew1School of information and communication technology, Griffith University School of computer and communication science, Princess Nora UniversityTasmanian Institute for Learning and Teaching/ University of Tasmania School of information and communication technology, Griffith UniversityThe accessibility of website images is influenced by the availability and accuracy of descriptive text and its compatibility with image complexity and purpose. Image accessibility evaluation cannot be fully affected through applying one method, and can be enhanced by inclusion of processes that consider the quality of image descriptive text. The evaluation of descriptive text quality may initially involve human evaluation, then use an automated evaluation tool to provide a counterpoint. In this paper, an analysis is presented of a dataset of 120 complex and informative images found on universities’ web-based systems. This is supplemented with a detailed analysis of HTML image attributes and elements. Human and automated analysis of content are combined and the integration of information to inform the evaluation outcome. Our analysis illustrates a lack of accurate usage of HTML image attributes and elements, such as alt and longdesc. The findings provide insight for the improvement of image accessibility by applying multi-evaluation methods and auto generator descriptive text. This paper will be of interest to web accessibility developers and researchers.http://www.jacces.org/index.php/jacces/article/view/167Image accessibility, descriptive text, alt text, visually impaired, human evaluation, automated tool evaluation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tahani Alahmadi Steve Drew |
spellingShingle |
Tahani Alahmadi Steve Drew Evaluation of image accessibility for visually impaired users Journal of Accessibility and Design for All Image accessibility, descriptive text, alt text, visually impaired, human evaluation, automated tool evaluation |
author_facet |
Tahani Alahmadi Steve Drew |
author_sort |
Tahani Alahmadi |
title |
Evaluation of image accessibility for visually impaired users |
title_short |
Evaluation of image accessibility for visually impaired users |
title_full |
Evaluation of image accessibility for visually impaired users |
title_fullStr |
Evaluation of image accessibility for visually impaired users |
title_full_unstemmed |
Evaluation of image accessibility for visually impaired users |
title_sort |
evaluation of image accessibility for visually impaired users |
publisher |
Universitat Politècnica de Catalunya |
series |
Journal of Accessibility and Design for All |
issn |
2013-7087 2013-7087 |
publishDate |
2018-11-01 |
description |
The accessibility of website images is influenced by the availability and accuracy of descriptive text and its compatibility with image complexity and purpose. Image accessibility evaluation cannot be fully affected through applying one method, and can be enhanced by inclusion of processes that consider the quality of image descriptive text. The evaluation of descriptive text quality may initially involve human evaluation, then use an automated evaluation tool to provide a counterpoint. In this paper, an analysis is presented of a dataset of 120 complex and informative images found on universities’ web-based systems. This is supplemented with a detailed analysis of HTML image attributes and elements. Human and automated analysis of content are combined and the integration of information to inform the evaluation outcome. Our analysis illustrates a lack of accurate usage of HTML image attributes and elements, such as alt and longdesc. The findings provide insight for the improvement of image accessibility by applying multi-evaluation methods and auto generator descriptive text. This paper will be of interest to web accessibility developers and researchers. |
topic |
Image accessibility, descriptive text, alt text, visually impaired, human evaluation, automated tool evaluation |
url |
http://www.jacces.org/index.php/jacces/article/view/167 |
work_keys_str_mv |
AT tahanialahmadi evaluationofimageaccessibilityforvisuallyimpairedusers AT stevedrew evaluationofimageaccessibilityforvisuallyimpairedusers |
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1725127330210250752 |