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Quantitative evaluation for web accessibility with respect to disabled groups

Published: 20 April 2009 Publication History

Abstract

In this research, we propose a methodology for evaluating web accessibility with respect to disabled users, especially the vision-impaired and the hearing-impaired. Two stages are involved in our approach. In the first stage, we adopt barriers proposed by the Barrier Walkthrough method to classify possible barriers for each group of users on a web page. In addition, this method proposes checkpoints of WCAG (Web Content Accessibility Guidelines) as barrier causes. All barriers found at this stage would be transformed into the relevant checkpoints. In the second stage, the severity of barriers is assessed by analyzing violated checkpoints. Our formula will also calculate accessibility value from the violated checkpoints. The result of our approach can identify whether the evaluated web pages are suitable for different groups of the disabled.

References

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cover image ACM Other conferences
W4A '09: Proceedings of the 2009 International Cross-Disciplinary Conference on Web Accessibililty (W4A)
April 2009
189 pages
ISBN:9781605585611
DOI:10.1145/1535654
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • The Mozilla Foundation
  • Google Inc.
  • Microsoft: Microsoft
  • Zakon Group

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 April 2009

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Author Tags

  1. disabled
  2. evaluation criteria
  3. web accessibility

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  • Research-article

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W4A '09
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  • Microsoft

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Overall Acceptance Rate 171 of 371 submissions, 46%

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  • (2024)A large-scale web accessibility analysis considering technology adoptionUniversal Access in the Information Society10.1007/s10209-023-01010-023:4(1857-1872)Online publication date: 1-Nov-2024
  • (2024)Large-scale study of web accessibility metricsUniversal Access in the Information Society10.1007/s10209-022-00956-x23:1(411-434)Online publication date: 1-Mar-2024
  • (2022)A Systematic Review of Web Accessibility MetricsApp and Website Accessibility Developments and Compliance Strategies10.4018/978-1-7998-7848-3.ch004(77-108)Online publication date: 2022
  • (2019)Automatic Web Accessibility MetricsWeb Accessibility10.1007/978-1-4471-7440-0_27(505-521)Online publication date: 4-Jun-2019
  • (2018)Feasibility of Automatically Assigning Severity Scores to Web Accessibility ProblemsProceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3234695.3241001(364-366)Online publication date: 8-Oct-2018
  • (2014)Evaluation of Web AccessibilityAssistive Technologies10.4018/978-1-4666-4422-9.ch052(1012-1029)Online publication date: 2014
  • (2013)Evaluation of Web AccessibilityInformation Systems Research and Exploring Social Artifacts10.4018/978-1-4666-2491-7.ch016(314-331)Online publication date: 2013
  • (2011)Automatic web accessibility metricsInteracting with Computers10.1016/j.intcom.2011.01.00123:2(137-155)Online publication date: 1-Mar-2011
  • (2011)Method to improve accessibility of rich internet applicationsProceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health10.1007/978-3-642-25364-5_25(349-365)Online publication date: 25-Nov-2011

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