skip to main content
10.1145/2207016.2207027acmotherconferencesArticle/Chapter ViewAbstractPublication Pagesw4aConference Proceedingsconference-collections
research-article

Understanding web accessibility and its drivers

Published:16 April 2012Publication History

ABSTRACT

Access is what the web is 'about', it is the motivation behind its creation, and it is the rationale behind HTML. The desire to provide all users at CERN with the ability to access all documents was Tim Berners-Lee's primary goal, and this goal must also be carried through to equal access for all users. But this equality of access -- accessibility -- is difficult to quantify, define, or agree upon. In a constantly evolving field, understanding each other can be tricky; indeed, there are many different definitions in the literature, all with a different perspective. This makes it difficult for our community to interact, reach agreement, or share understanding. What is more, it makes it very difficult for those outside the web accessibility community to understand, plan, budget, enact policy, or conform to accessibility requirements and legislation when the community itself has so many, in some cases, conflicting definitions. We asked over 300 people, with an interest in accessibility, to discuss their views and definitions in an attempt to harmonise our understanding and support the expectations of users outside the community. We find that misunderstanding accessibility definitions, language, and terms might cause tension between different groups. That social, and not economic, aspects drive our perspectives of accessibility, and that definitions used by standards and regulatory bodies are most accepted - not those of individual experts. Forcing accessibility adoption does not encourage the acceptance of an accessibility ethos, but providing empirical evidence that accessibility benefits all, does. Finally, realistic and concise language was preferred when attempting to communicate, or define accessibility.

References

  1. Section 508 standards. Access Board of the U. S. Federal Government. http://www.section508.gov/.Google ScholarGoogle Scholar
  2. Shadi Abou-Zahra. Web accessibility evaluation. In Simon Harper and Yeliz Yesilada, editors, Web Accessibility: A Foundation for Research, Human-Computer Interaction Series, chapter 7, pages 79--106. Springer, London, 1st edition, September 2008.Google ScholarGoogle Scholar
  3. Andrew Arch. Web accessibility for older users: successes and opportunities (keynote). In W4A '09: Proceedings of the 2009 International Cross-Disciplinary Conference on Web Accessibililty (W4A), pages 1--6, New York, NY, USA, 2009. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Giorgio Brajnik. Beyond conformance: The role of accessibility evaluation methods. In WISE '08: Proceedings of the 2008 international workshops on Web Information Systems Engineering, pages 63--80, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Giorgio Brajnik, Yeliz Yesilada, and Simon Harper. Testability and validity of wcag 2.0: The expertise effect. In To be published at ASSETS 2010: In Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Wendy Chisholm and Matt May. Universal Design for Web Applications. O'Reilly Media, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Alistair D. N. Edwards, editor. Extra-ordinary human-computer interaction. Cambridge university press, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Shawn Henry. Just Ask: Integrating Accessibility Throughout Design. Georgia Tech Research Corporation, 2004.Google ScholarGoogle Scholar
  9. Shawn Lawton Henry and Andrew Arch. Developing a web accessibility business case for your organization: Overview. W3C WAI, http://www.w3.org/WAI/bcase/.Google ScholarGoogle Scholar
  10. Morten Hertzum and Torkil Clemmensen. How do usability professionals construe usability? International Journal of Human-Computer Studies, 70:26--42, January 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. M. Ivory and M. Hearst. The state of the art in automating usability evaluation of user interfaces. ACM Computer Surveys, 33(4):470--516, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Effie Lai-Chong Law, Virpi Roto, Marc Hassenzahl, Arnold P. O. S. Vermeeren, and Joke Kort. Understanding, scoping and defining user experience: a survey approach. In Proceedings of the 27th international conference on Human factors in computing systems, CHI '09, pages 719--728, New York, NY, USA, 2009. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Jonathan Lazar, Alfreda Dudley-Sponaugle, and Kisha-Dawn Greenidge. Improving web accesibility: A study of webmasters perceptions. Computers in Human Behaviour, 20:269--288, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  14. Ueki Makoto. What is "web accessibility"? Bulletin of the Japan Special Libraries Association, (218):28--33, 2006.Google ScholarGoogle Scholar
  15. Michael Paciello. Web accessibility for people with disabilities. CMP books, CMP media LLC, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. H. Petrie and O. Kheir. The relationship between accessibility and usability of websites. In Proc. CHI 2007, pages 397--406, San Jose, CA, USA, 2007. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Ben Shneiderman. Universal usability. Communications of the ACM, 43(5):84--91, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. British Standards. Ergonomics of human-system interaction (part 20: Accessibility guidelines for information/communication technology (ict) equipment and services (iso 9241-20:2008)). Technical report, ISO, 2008.Google ScholarGoogle Scholar
  19. J. Thatcher, M. Burks, C. Heilmann, S. Henry, A. Kirkpatrick, B. Lawson, B. Regan, R. Rutter, M. Urban, and C. Waddell. Web Accessibility, Web Standards and Regulatory Compliance. Springer-Verlag, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Jim Thatcher, Cynthia Waddell, Shawn Henry, Sarah Swierenga, Mark Urban, Michael Burks, Bob Regan, and Paul Bohman. Constructing Accessible Web Sites. Glasshaus, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Markel Vigo and Giorgio Brajnik. Automatic web accessibility metrics: Where we are and where we can go. Interacting with Computers, 23:137--155, March 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. W3C WAI. Introduction to web accessibility. http://www.w3.org/WAI/intro/accessibility.php, 2005.Google ScholarGoogle Scholar
  23. Yeliz Yesilada, Giorgio Brajnik, and Simon Harper. Barriers common to mobile and disabled web users. Interacting With Computers, 23(5):525--542, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Yeliz Yesilada, Alan Chuter, and Shawn Lawton Henry. Shared Web Experiences: Barriers Common to Mobile Device Users and People with Disabilities. W3C, 2008. http://www.w3.org/WAI/mobile/experiences.Google ScholarGoogle Scholar
  25. Yeliz Yesilada, Simon Harper, Tianyi Chen, and Shari Trewin. Small device users situationally impaired by input. Computers in Human Behavior, 26(3):427--435, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Understanding web accessibility and its drivers

              Recommendations

              Comments

              Login options

              Check if you have access through your login credentials or your institution to get full access on this article.

              Sign in
              • Published in

                cover image ACM Other conferences
                W4A '12: Proceedings of the International Cross-Disciplinary Conference on Web Accessibility
                April 2012
                189 pages
                ISBN:9781450310192
                DOI:10.1145/2207016

                Copyright © 2012 ACM

                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]

                Publisher

                Association for Computing Machinery

                New York, NY, United States

                Publication History

                • Published: 16 April 2012

                Permissions

                Request permissions about this article.

                Request Permissions

                Check for updates

                Qualifiers

                • research-article

                Acceptance Rates

                Overall Acceptance Rate171of371submissions,46%

              PDF Format

              View or Download as a PDF file.

              PDF

              eReader

              View online with eReader.

              eReader