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• Active Learning for Web Accessibility Evaluation

  Mengni Zhang, Can Wang, Zhi Yu, Chao Shen, Jiajun Bu · 2017 · Proceedings of the 14th International Web for All Conference (W4A)

  This paper introduces "active-prediction," a semi-supervised machine learning method that addresses a fundamental bottleneck in web accessibility evaluation: the prohibitive cost of evaluating all pages in a large website. Current practice relies on sampling methods (ad hoc,…

  accessibility evaluation · machine learning · active learning · web accessibility · automated testing

• WAEM: A Web Accessibility Evaluation Metric Based on Partial User Experience Order

  Shuyi Song, Can Wang, Liangcheng Li, Zhi Yu, Xiao Lin, Jiajun Bu · 2017 · Proceedings of the 14th International Web for All Conference (W4A)

  This paper introduces WAEM (Web Accessibility Experience Metric), a novel accessibility metric that derives checkpoint weights from actual user experience data rather than from WCAG priority levels. The authors demonstrate that existing metrics like WAB and WAQM, which weight…

  accessibility metrics · user experience · accessibility evaluation · machine learning · SVM

• Cross-Cultural Web Design Guidelines

  Rukshan Alexander, David Murray, Nik Thompson · 2017 · Proceedings of the 14th International Web for All Conference (W4A)

  This paper develops evidence-based cross-cultural web design guidelines that go beyond simple language translation to address culturally specific design preferences in layout, navigation, links, multimedia, visual representation, colour, and text. The authors argue that cultural…

  cross-cultural design · web design guidelines · cultural factors · internationalization · localization

3 results.