Show simple item record

dc.contributor.authorAlahmadi, Tahani
dc.contributor.authorDrew, Steve
dc.date.accessioned2019-07-30T06:27:30Z
dc.date.available2019-07-30T06:27:30Z
dc.date.issued2018
dc.identifier.issn2013-7087
dc.identifier.doi10.17411/jacces.v8i2.167
dc.identifier.urihttp://hdl.handle.net/10072/384233
dc.description.abstractThe 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.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherUniversitat Politecnica de Catalunya
dc.relation.ispartofpagefrom125
dc.relation.ispartofpageto160
dc.relation.ispartofissue2
dc.relation.ispartofjournalJournal of Accessibility and Design for All
dc.relation.ispartofvolume8
dc.subject.fieldofresearchDesign
dc.subject.fieldofresearchcode3303
dc.titleEvaluation of Image accessibility for visually impaired users
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttps://creativecommons.org/licenses/by-nc/4.0/
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© The Author(s) 2018. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorAlahmadi, Tahani J.


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record