AAEM: Accessibility Assistance Evaluation Metric


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Abstract


A novel metric for quantitatively measuring the accessibility assistance needed for the web contents for persons with disabilities is proposed. The metric is based on the W3C’s (World Wide Web Consortium) web Content Accessibility Guidelines (WCAG 2.0) checkpoints, client side technology support on different web interfaces and size (number of objects present in a website) of the web page. WCAG 2.0 is an internationally accepted standard, which can be automatically tested using automatic accessibility checker tools. Problems with current accessibility analysis metrics and the need for a good Web accessibility metric are discussed. The metric is intended to beat the drawbacks of the current measurement metric used in web accessibility studies, and this metric meets the requirements for the current trend in web page development for scientific research. Analysis of different groups of e-government website’s accessibility evaluations exploitation of the metric is given. The analysis covers the top University’s websites, Recruitment board’s websites, State wise information websites, Business and regulatory reform websites from India. The reliability of the metric was tested using Cronbach’s Alpha test using SPSS Package and we conclude that the metric is reliable for ranking purposes in accessibility monitoring context and partially be applied in a Web Engineering scenario.


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Keywords


Web Accessibility; Automatic Evaluation; Assessment; Metrics; Quality Assurance

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