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Quantitative metrics for measuring web accessibility

Published:07 May 2007Publication History

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.

References

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  1. Quantitative metrics for measuring web accessibility

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            cover image ACM Conferences
            W4A '07: Proceedings of the 2007 international cross-disciplinary conference on Web accessibility (W4A)
            May 2007
            179 pages
            ISBN:1595935908
            DOI:10.1145/1243441

            Copyright © 2007 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 7 May 2007

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            Acceptance Rates

            W4A '07 Paper Acceptance Rate11of27submissions,41%Overall Acceptance Rate171of371submissions,46%

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