Interpreting results from large scale automatic evaluation of web accessibility

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4061 LNCS, Issue , 2006, Pages 184-191

  Bühler, Christian ^a   Heck, Helmut ^a   Perlick, Olaf ^a   Nietzio, Annika ^a   Ulltveit Moe, Nils ^b  

^a Forschungsinstitut Technologie Behindertenhilfe (FTB) der Evangelischen Stiftung Volmarstein   (Germany)

^b UNIVERSITY OF AGDER   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED SOFTWARE ENGINEERING; DATA REDUCTION; HUMAN COMPUTER INTERACTION; PUBLIC POLICY;

AUTOMATIC ASSESSMENT TOOLS; POLICY MAKERS; WEB ACCESSIBILITY;

WORLD WIDE WEB;

EID: 33748527829     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11788713_28     Document Type: Conference Paper

References (5)

1. W3 Consortium: Web content accessibility guidelines 1.0. Available at http://www.w3.org/TR/WCAG10/ (1999)
2. Web Accessibility Benchmarking Cluster: D-WAB2 unified web evaluation methodology (uwem 0.5). available from http://www.wabcluster.org/uwem05/ (2005)
3. McCathieNevile, C., Abou-Zahra, S.: Evaluation and report language (EARL) 1.0 Schema. W3C editor's working draft. Available at http://www.w3.org/WAI/ER/EARL10/WD-EARL10-Schema-20060101 (2006)
4. Zeng, X.: Evaluation and Enhancement of Web Content Accessibility for Persons with Disabilities. PhD thesis, University of Pittsburgh (2004)
5. Sullivan, T., Matson, R.: Barriers to use: Usability and content accessibility on the web's most popular sites. In: Proceedings of ACM Conference on Universal Usability-CUU. (2000)