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Integration of Web Accessibility Metrics in a semi-automatic evaluation process

Integration of Web Accessibility Metrics in a semi-automatic evaluation process. Maia Naftali Osvaldo Clúa. Introduction. What has been done? Implement existing metrics in an accessibility evaluation tool. Wab Score Failure Rate UWEM Score

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Integration of Web Accessibility Metrics in a semi-automatic evaluation process

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  1. Integration of Web Accessibility Metrics in a semi-automatic evaluation process Maia Naftali Osvaldo Clúa

  2. Introduction • What has been done? • Implement existing metrics in an accessibility evaluation tool. • Wab Score • Failure Rate • UWEM Score • The evaluation process is semi-automatic: includes a human filter. • What for? • Compare results from different sites. • Analyze in a real scenario the difficulties of calculating metrics automatically.

  3. Difficulties found • Major difficulties • Metric accuracy: • Exact formulas with a variable input: how to achieve repeatable results when including human criteria. • Human Filtering is useful, but requires extra work and depends on evaluator’s knowledge, which is not ideal to implement in a large-scale scenario. • Extra parameters: • Calculating some parameters of the formulas that are not directly retrieved with the evaluation results can introduce an error. For example, the Failure Points. • Threshold criteria and tool accuracy: • Guideline checkpoints that are hard to test with an algorithm might add noise to metrics computing. • Not all the checkpoints are tested in some evaluation tools.

  4. Ideas to work on for metric integration • Metric categorization into levels • A possible categorization • Basic: These metrics should only use the checkpoints that can be assessed automatically (with an algorithm). For example: Does the ALT tag has the IMG tag?. • Semantic or extended: Metrics that use the entire set. • Pragmatic: Also measure the user experience. • Motivation: automatic tools will be able to calculate the metrics defined as “basic”, with a known error rate. Limiting the scope in the metrics input will facilitate their programmatic implementation. Therefore, any evaluation tool could calculate metrics at a know level of accuracy.

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