Quantitative metrics for measuring web accessibility

  • Authors:
  • Markel Vigo;Myriam Arrue;Giorgio Brajnik;Raffaella Lomuscio;Julio Abascal

  • Affiliations:
  • University of the Basque Country, Donostia, Spain;University of the Basque Country, Donostia, Spain;Università di Udine, Udine, Italy;Università di Udine, Udine, Italy;University of the Basque Country, Donostia, Spain

  • Venue:
  • W4A '07 Proceedings of the 2007 international cross-disciplinary conference on Web accessibility (W4A)
  • Year:
  • 2007

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Abstract

This paper raises the need for quantitative accessibility measurement and proposes three different application scenarios where quantitative accessibility metrics are useful: Quality Assurance within Web Engineering, Information Retrieval and accessibility monitoring. We propose a quantitative metric which is automatically calculated from reports of automatic evaluation tools. In order to prove the reliability of the metric, 15 websites (1363 web pages) are measured based on results yielded by 2 evaluation tools: EvalAccess and LIFT. Statistical analysis of results shows that the metric is dependent on the evaluation tool. However, Spearman's test produces high correlation between results of different tools. Therefore, we conclude that the metric is reliable for ranking purposes in Information Retrieval and accessibility monitoring scenarios and can also be partially applied in a Web Engineering scenario.