Designing a Belief Function-Based Accessibility Indicator to Improve Web Browsing for Disabled People

  • Jean-Christophe Dubois
  • Yolande Le Gall
  • Arnaud Martin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8764)


The purpose of this study is to provide an accessibility measure of webpages, in order to draw disabled users to the pages that have been designed to be accessible to them. Our approach is based on the theory of belief functions, using data which are supplied by reports produced by automatic web content assessors that test the validity of criteria defined by the WCAG 2.0 guidelines proposed by the World Wide Web Consortium (W3C) organization. These tools detect errors with gradual degrees of certainty and their results do not always converge. For these reasons, to fuse information coming from the reports, we choose to use an information fusion framework which can take into account the uncertainty and imprecision of information as well as divergences between sources. Our accessibility indicator covers four categories of deficiencies. To validate the theoretical approach in this context, we propose an evaluation completed on a corpus of 100 most visited French news websites, and 2 evaluation tools. The results obtained illustrate the interest of our accessibility indicator.


Belief functions Web accessibility Human factors Measurement Document analysis 


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  1. 1.
    Abascal, J., Arrue, M., Fajardo, I., Garay, N., Tomhas, J.: The use of guidelines to automatically verify web accessibility. Universal Access in the Information Society 3(1), 71–79 (2004)CrossRefGoogle Scholar
  2. 2.
    Brajnik, G.: Comparing accessibility evaluation tools: a method for tool effectiveness. Universal Access in the Information Society 3(3-4), 252–263 (2004)CrossRefGoogle Scholar
  3. 3.
    Brajnik, G.: Web Accessibility Testing: When the Method is the Culprit. In: International Conference on Computers Helping People with Special Needs, ICCHP 2006, pp. 156–163 (2006)Google Scholar
  4. 4.
    Brajnik, G.: Validity and Reliability of Web Accessibility Guidelines. In: Proceedings of the 11th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS, pp. 131–138 (2009)Google Scholar
  5. 5.
    Caldwell, B., Cooper, M., Guarino Reid, L., Vanderheiden, G.: Web Content Accessibility Guidelines (WCAG) 2 (December 11, 2008),
  6. 6.
    Dempster, A.P.: Upper and Lower probabilities induced by a multivalued mapping. Annals of Mathematical Statistics 38, 325–339 (1967)MathSciNetCrossRefzbMATHGoogle Scholar
  7. 7.
    Dubois, J.-C., Le Gall, Y., Martin, M.: Software Engineering System for the Analysis of Accessibility Data. Patent No. 1451562, Filed February 26th 2014Google Scholar
  8. 8.
    European Disability Strategy 2010-20: A Renewed Commitment to a Barrier-Free Europe. COM 636 final (2010)Google Scholar
  9. 9.
    Gay, G., Qi Li, C.: AChecker: open, interactive, customizable, web accessibility checking. In: W4A International Cross Disciplinary Conference on Web Accessibility, vol. 33, ACM Press (2010)Google Scholar
  10. 10.
    Ivory, M.Y., Yu, S., Gronemyer, K.: Search result exploration: a preliminary study of blind and sighted users’ decision making and performance. CHI Extended Abstracts, pp. 1453–1456. ACM Press (2004)Google Scholar
  11. 11.
    Martin, A., Osswald, C., Dezert, J., Smarandache, F.: General combination rules for qualitative and quantitative beliefs. Journal of Advances in Information Fusion 3(2), 67–82 (2008)Google Scholar
  12. 12.
    Nielsen, J., Tahir, M.: Homepage Usability: 50 Websites Deconstructed. New Riders Publishing (2001)Google Scholar
  13. 13.
    Shafer, G.: A mathematical theory of evidence. Princeton University Press (1976)Google Scholar
  14. 14.
    Smets, P.: Belief Functions: the Disjunctive Rule of Combination and the Generalized Bayesian Theorem. International Journal of Approximate Reasoning 9, 1–35 (1993)MathSciNetCrossRefzbMATHGoogle Scholar
  15. 15.
    Vanderheiden, G.C., Vanderheiden, K.R.: Accessible design of consumer products: guidelines for the design of consumer products to increase their accessibility to people with disabilities or who are aging. Madison - WI, Trace R&D Center (1991)Google Scholar
  16. 16.
    Vigo, M., Brajnik, G.: Automatic web accessibility metrics: where we are and where we can go. Interacting with Computers 3(2), 137–155 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jean-Christophe Dubois
    • 1
  • Yolande Le Gall
    • 1
  • Arnaud Martin
    • 1
  1. 1.DRUID-IRISAUniversity of Rennes 1LannionFrance

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