• myGriffith
    • Staff portal
    • Contact Us⌄
      • Future student enquiries 1800 677 728
      • Current student enquiries 1800 154 055
      • International enquiries +61 7 3735 6425
      • General enquiries 07 3735 7111
      • Online enquiries
      • Staff phonebook
    View Item 
    •   Home
    • Griffith Research Online
    • Journal articles
    • View Item
    • Home
    • Griffith Research Online
    • Journal articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

  • All of Griffith Research Online
    • Communities & Collections
    • Authors
    • By Issue Date
    • Titles
  • This Collection
    • Authors
    • By Issue Date
    • Titles
  • Statistics

  • Most Popular Items
  • Statistics by Country
  • Most Popular Authors
  • Support

  • Contact us
  • FAQs
  • Admin login

  • Login
  • Evaluation of Image accessibility for visually impaired users

    Thumbnail
    View/Open
    Alahmadi213814.pdf (601.3Kb)
    File version
    Version of Record (VoR)
    Author(s)
    Alahmadi, Tahani
    Drew, Steve
    Griffith University Author(s)
    Alahmadi, Tahani J.
    Year published
    2018
    Metadata
    Show full item record
    Abstract
    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 ...
    View more >
    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.
    View less >
    Journal Title
    Journal of Accessibility and Design for All
    Volume
    8
    Issue
    2
    DOI
    https://doi.org/10.17411/jacces.v8i2.167
    Copyright Statement
    © 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.
    Subject
    Design
    Publication URI
    http://hdl.handle.net/10072/384233
    Collection
    • Journal articles

    Footer

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E

    Tagline

    • Gold Coast
    • Logan
    • Brisbane - Queensland, Australia
    First Peoples of Australia
    • Aboriginal
    • Torres Strait Islander