Literature Reviews

Reviewed research papers, articles, and publications relevant to digital accessibility.

• An Optimal Sampling Method for Web Accessibility Quantitative Metric

  Mengni Zhang, Can Wang, Jiajun Bu, Zhi Yu, Yi Lu, Ruijie Zhang, Chun Chen (2015) — Proceedings of the 12th International Web for All Conference (W4A 2015)

  This short paper proposes OPS-WAQM, an optimal page sampling method specifically designed for use with the Web Accessibility Quantitative Metric (WAQM) when evaluating large websites. The core problem is that evaluating every page of a large website …

  • accessibility evaluation
  • sampling methods
  • accessibility metrics
  • WAQM
  • large-scale evaluation
  • government websites
  • quantitative metrics
  • statistical methods

• A Macroscopic Web Accessibility Evaluation at Different Processing Phases

  Nádia Fernandes, Luís Carriço (2012) — Proceedings of the International Cross-Disciplinary Conference on Web Accessibility (W4A)

  This paper investigates a fundamental question about automated accessibility evaluation: does it matter whether you evaluate a web page as it arrives from the server (before browser processing) or as the user actually experiences it (after browser pr…

  • automated testing
  • large-scale evaluation
  • web accessibility
  • browser processing
  • dynamic content
  • accessibility metrics
  • WCAG evaluation

• Web accessibility snapshot: an effort to reveal coding guidelines conformance

  Vagner Figueredo de Santana, Rogério Abreu de Paula (2013) — Proceedings of the 10th International Cross-Disciplinary Conference on Web Accessibility (W4A)

  This paper presents the first iteration of the Web Accessibility Snapshot (WAS) project, a large-scale automated evaluation of web accessibility conformance across two sets of 1,000 websites each: the Alexa top 1,000 most popular sites and a randomly…

  • automated testing
  • WCAG compliance
  • web accessibility
  • accessibility metrics
  • web standards
  • large-scale evaluation

• 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 …

  • accessibility evaluation
  • machine learning
  • active learning
  • web accessibility
  • automated testing
  • sampling methods
  • accessibility metrics
  • SVM
  • semi-supervised learning
  • WCAG compliance
  • China
  • large-scale evaluation

• Towards Real-Time Measurements of Internet Health: Optimizing Large-Scale Web Accessibility Evaluations

  Luís P. Carvalho, Tiago Guerreiro, Shaun Lawson, Kyle Montague (2023) — Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2023)

  This paper investigates how to optimize page sampling strategies for large-scale web accessibility evaluations, aiming to make near real-time measurements of Internet Health feasible. Current large-scale accessibility studies are financially and time…

  • web accessibility
  • large-scale evaluation
  • automated testing
  • internet health
  • WCAG
  • axe-core
  • page sampling