Metric for Web accessibility evaluation
Metric for Web accessibility evaluation
复制标题
Web 可访问性评估指标
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
Xiaoming Zeng
中科院分区：
文献类型：
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作者：
B. Parmanto;Xiaoming Zeng
提出了一种新的度量标准，定量测量残疾人的Web内容的可访问性。该指标基于Web内容无障碍指南（WCAG）检查点，这是一个国际公认的标准，可以使用计算机程序自动测试。目前的可访问性评估和需要一个良好的Web可访问性度量的问题进行了讨论。建议的指标是为了克服目前的测量在Web可访问性研究中使用的不足之处。所提出的度量标准满足作为科学研究的度量标准的要求。大规模的Web可访问性评估使用的度量的例子。这些例子涵盖了顶级医学期刊网站的Web可访问性比较和一个网站随时间的纵向研究。该指标的有效性进行了测试，使用大量的网站与不同级别的遵守（评级类别）的标准WCAG。该指标使用预先确定的简单加权方案，在将网站分为不同的评级类别方面，与更复杂的C5.0机器学习算法相比效果很好。
A novel metric for quantitatively measuring the content accessibility of the Web for persons with disabilities is proposed. The metric is based on the Web Content Accessibility Guidelines (WCAG) checkpoints, an internationally accepted standard, that can be automatically tested using computer programs. Problems with current accessibility evaluation and the need for a good Web accessibility metric are discussed. The proposed metric is intended to overcome the deficiencies of the current measurements used in Web accessibility studies. The proposed metric meets the requirements as a measurement for scientific research. Examples of large-scale Web accessibility evaluations using the metric are given. The examples cover a comparison of Web accessibility of top medical journal Web sites and a longitudinal study of a Web site over time. The validity of the metric was tested using a large number of Web sites with different levels of compliance (rating categories) to the standard WCAG. The metric, which uses a predetermined simple weighting scheme, compares well to the more complex C5.0 machine learning algorithm in separating Web sites into different rating categories.