Advertisement

Methodology for Heuristic Evaluation of Web Accessibility Oriented to Types of Disabilities

  • Anyela OrozcoEmail author
  • Valentina Tabares
  • Néstor Duque
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9737)

Abstract

In order to ensure that a Website available is easily accessible to as many people as possible, evaluation processes are carried out on Web accessibility, allowing the identification of issues in the construction of such sites and barriers that may limit access to information. However, making these evaluations can become a time consuming task and produce incomplete results; besides, they are based on general guidelines that do not take into account the particularities of each type of disability. This paper proposes a methodology for heuristic evaluation of web accessibility oriented to types of disabilities, consisting of five stages that allow establishing the level of accessibility and specific problems of a website.

Keywords

Web accessibility Web accessibility evaluation Disabilities 

Notes

Acknowledgments

The research presented in this paper was partially funded by the COLCIENCIAS project entitled: “RAIM: Implementación de un framework apoyado en tecnologías móviles y de realidad aumentada para entornos educativos ubicuos, adaptativos, accesibles e interactivos para todos (Implementation of a framework supported by mobile technologies and augmented reality for ubiquitous, adaptive, accessible and interactive learning environments for all)” of the Universidad Nacional de Colombia, with code 1119-569-34172.

References

  1. 1.
    Abou-Zahra, S.: A data model to facilitate the automation of web accessibility evaluations. Electron. Notes Theor. Comput. Sci. 157, 3–9 (2006)CrossRefGoogle Scholar
  2. 2.
    Riaño, A., Ballesteros, A.: Análisis de accesibilidad web orientado a la estrategia de gobierno en línea del estado Colombiano (2014)Google Scholar
  3. 3.
    Centeno, L., Delgado, C., Arias, F., Álvarez, L.: Web accessibility evaluation tools: a survey and some improvements. Electron. Notes Theor. Comput. Sci. 157, 87–100 (2006)CrossRefGoogle Scholar
  4. 4.
    Abu, D., Alkhateeb, F., Maghayreh, E.A., Mohammed, A.: The design of RIA accessibility evaluation tool. Adv. Eng. Softw. 57, 1–7 (2013)CrossRefGoogle Scholar
  5. 5.
    Takagi, H., Asakawa, C.: New challenges in web accessibility. Univers. Access Inf. Soc. 13, 205–226 (2015)Google Scholar
  6. 6.
    Zubillaga del Rio, A., Alba Pastor, C.: Hacia un nuevo modelo de accesibilidad en las instituciones de educación superior. Rev. Española Pedagog. 71(255), 245–262 (2008)Google Scholar
  7. 7.
    Martínez Usero, J.Á., Lara Navarra, P.: La Accesibilidad de los Contenidos Web, vol. 72. UOC, Barcelona (2006)Google Scholar
  8. 8.
    W3C: Web Accessibility Initiative (WAI). http://www.w3.org/WAI/
  9. 9.
    Pereira, L.S., Ferreira, S.B.L., Archambault, D.: Preliminary web accessibility evaluation method through the identification of critical items with the participation of visually impaired users. Procedia Comput. Sci. 67, 77–86 (2015)CrossRefGoogle Scholar
  10. 10.
    Cooper, M., Reid, L.G.: Web Content Accessibility Guidelines (WCAG) 2.0, pp. 1–24 (2013)Google Scholar
  11. 11.
    Sánchez-Gordón, M.L., Moreno, L.: Toward an integration of web accessibility into testing processes. Procedia Comput. Sci. 27, 281–291 (2013)CrossRefGoogle Scholar
  12. 12.
    Abu Doush, I., Alkhateeb, F., Maghayreh, E.A., Al-Betar, M.A.: The design of RIA accessibility evaluation tool. Adv. Eng. Softw. 57, 1–7 (2013)CrossRefGoogle Scholar
  13. 13.
    Yen, B.P.C.: The design and evaluation of accessibility on web navigation. Decis. Support Syst. 42, 2219–2235 (2007)CrossRefGoogle Scholar
  14. 14.
    Cavuoto, L.A., Benson, K., Tonya Smith-Jackson, M.A.N.: A heuristic checklist for an accessible smartphone interface design. Univers. Access Inf. Soc. 13, 351–365 (2014)CrossRefGoogle Scholar
  15. 15.
    Rusu, C., Roncagliolo, S., Ruso, V., Collazos, C.: A methodology to establish usability heuristics. In: ACHI 2011 Fourth International Conference on Advances in Computer-Human Interactions, pp. 59– 62 (2011)Google Scholar
  16. 16.
    Inostroza, R., Rusu, C., Roncagliolo, S., Rusu, V., Collazos, C.A.: Developing SMASH: a set of SMArtphone’s uSability heuristics. Comput. Stand. Interfaces 43, 40–52 (2016)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Anyela Orozco
    • 1
    Email author
  • Valentina Tabares
    • 1
  • Néstor Duque
    • 1
  1. 1.Universidad Nacional de Colombia Sede ManizalesManizalesColombia

Personalised recommendations