网站内容可访问性问题的自动评估:工具和评估
Jinat Ara1, Cecilia Sik-Lanyi2,3
1Department of Electrical Engineering and Information Systems, University of Pannonia, Egyetem u. 10, Veszprem, 8200, Hungary. jinat.ara@mik.uni-pannon.hu.
Scientific reports
|March 20, 2025
概括
这项研究引入了一种评估网络平台可访问性的新模型. 该模型通过分析网页的结构和视觉元素,有效地预测可访问性问题,优于现有的工具.
科学领域:
- 计算机科学 计算机科学
- 人与计算机的交互
- 网络可访问性研究 网络可访问性研究
背景情况:
- 由于多方面的因素,评估网络平台的可访问性是复杂的.
- 现有的解决方案往往有局限性,包括基于规则的方法,限制性质,忽视用户标准和复杂的设计.
研究的目的:
- 开发一个简单而又精确的模型来评估网页的可访问性.
- 为了解决当前网络可访问性评估方法的局限性.
主要方法:
- 在HTML文档对象模型 (DOM) 中开发了一个分析HTML文档对象模型中的结构和视觉网页元素的模型.
- 实现了三个不同的算法来分析语义和非语义网络特征.
- 使用20个匈牙利大学的网页和40名参与者的用户研究验证了该模型.
主要成果:
- 开发的工具在预测网页可访问性问题方面展示了先进的特性.
- 实验结果显示,与现有的科学模型和开源工具相比,该模型的有效性更高.
- 用户研究证实了该工具对人类评论的预测.
结论:
- 拟议的模型提供了一种精确和有效的方法来评估网络可访问性.
- 该工具具有显著的潜力,可以提高可访问性评估的准确性和全面性.
- 未来的工作可能需要进一步细化和更广泛地应用该模型.
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