用户和专家对使用模糊方法的可访问性进行判断模型
Kumari Sarita1, Parminder Kaur2, Satinder Kaur3
1Department of Computer Science, Guru Nanak Dev University, Amritsar, Punjab, 143001, India. saritacs.rsh@gndu.ac.in.
Scientific reports
|September 30, 2025
概括
一种基于模糊的新型模型通过结合用户和专家的见解来增强网站可访问性评估. 医疗保健网站显示出比化网站更好的可访问性,突出显示了数字包容性需要改进的领域.
科学领域:
- 数字化包容数字化包容
- 网页可访问性 网页可访问性
- 人与计算机的交互
背景情况:
- 网站的可访问性对于技术创新,用户交互和数字包容性至关重要.
- 现有的研究依赖于用户或专家的评估,每一个都有局限性.
- 评估可访问性可以确保满足用户的各种需求,并遵守法律标准.
研究的目的:
- 为网站可访问性评估提出一种新的基于模糊的建模方法.
- 整合用户和专家的见解,以便进行更强大的评估.
- 将医疗保健和化网站的可访问性与WCAG 2.1标准进行比较.
主要方法:
- 开发了一个基于模糊的模型来汇总来自视力低下用户和可访问性专家的数据.
- 来自医疗保健和化领域的20个网站根据Web内容可访问性指南2.1 (WCAG 2.1) 进行了评估.
- 进行了两个领域之间的可访问性索引的比较分析,并通过案例研究进行了验证.
主要成果:
- 医疗保健网站的可访问性非常好,超过了化网站.
- 化网站需要显著的改进,以实现卓越的可访问性.
- 统计分析证实样本之间的可访问性指数差异微不足道,验证了模型的可靠性.
结论:
- 拟议的基于模糊的方法 (FUEJMA) 有效地汇集了各种用户和专家反,以进行准确的可访问性评估.
- 医疗保健网站比化网站更容易访问,这表明后者需要有针对性的改进.
- 该模型通过提供情境敏感的可访问性评估,为更具包容性的数字环境做出了贡献.
关键词:
显而易见的可访问性指数 (AAI)模糊的聚合方式.模糊的梯形形状.基于模糊的用户和专家的可访问性判断模型 (FUEJMA).医疗保健网站 医疗保健网站化网站的网站显而易见的可访问性评估问卷 (QAAE)更多相关视频
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