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Web accessibility awareness in search engine results

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Abstract

The enormous amount of information available on the Internet requires the use of search engines in order to find specific information. As far as web accessibility is concerned, search engines contain two kinds of barriers: on the one hand, the interfaces for making queries and accessing results are not always accessible; on the other hand, web accessibility is not taken into account in information retrieval (IR) processes. Consequently, in addition to interface problems, accessing the items in the list of results tends to be an unsatisfactory experience for people with disabilities. Some groups of users cannot take advantage of the services provided by search engines, as the results are not useful due to their accessibility restrictions. The goal of this paper is to propose the integration of web accessibility measurement into information retrieval processes. Firstly, quantitative accessibility metrics are defined in order to accurately measure the accessibility level of web pages. Secondly, a model to integrate these metrics within IR processes is proposed. Finally, a prototype search engine which re-ranks results according to their accessibility level based on the proposed model is described.

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Notes

  1. http://labs.google.com/accessible/.

  2. Accessible Search FAQ. Available at: http://labs.google.com/accessible/faq.html.

  3. http://www.w3.org/wai.

  4. http://www.research.ibm.com/trl/projects/acc_tech/adesigner_e.htm.

  5. http://www.w3.org/TR/2006/WD-WCAG20-20060427/appendixD.html.

  6. http://www.google.com/apis/.

  7. http://developer.yahoo.com/search/.

  8. http://www.microsoft.com/downloads/details.aspx?FamilyId=C271309B-02DE-42A7-B23E-E19F68667197&displaylang=en.

References

  1. Abascal, J., Arrue, M., Fajardo, I., Garay, N., Tomás, J.: Use of guidelines to automatically verify web accessibility. International Journal on Universal Access in the Information Society (UAIS), vol. 3, no. 1, pp. 71–79. Springer, Berlin (2004)

  2. Abascal, J., Nicolle, C.: Moving towards inclusive design guidelines for socially and ethically aware HCI. Interacting with Computers, vol. 17, no. 5, pp.484–505. Elsevier, Amsterdam (2005)

  3. Andronico, P., Buzzi, M., Castillo, C., Leporini, B.: Improving search engine interfaces for blind users: a case study. Universal Access in the Information Society, vol. 5, no. 1, pp. 23–40. Springer, Berlin (2006)

  4. Arrue, M., Vigo, M., Abascal, J.: Quantitative metrics for web accessibility evaluation. In: Proceedings of the ICWE 2005 Workshop on Web Metrics and Measurement, University of Wollongong School of IT and Computer Science (2005)

  5. Brajnik, G.: Comparing accessibility evaluation tools: a method for tool effectiveness. Universal Access in the Information Society, vol. 3, no. 3–4, pp. 252–263. Springer, Heidelberg (2004)

  6. Bühler, C., Heck, H., Perlick, O., Nietzio, A., Ullveit-Moe, N.: Interpreting results from large scale automatic evaluation of web accessibility. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) Computers Helping People with Special Needs. Lecture Notes in Computer Science, vol. 4061, pp. 184–191. Springer, Berlin (2006)

  7. Caldwell, B., Cooper, M., Guarino Reid, L., Vanderheiden, G.: Web Content Accessibility Guidelines 2.0 (Working Draft). Available at http://www.w3.org/TR/WCAG20/ (2007). 17 May 2007

  8. Chisholm, W., Vanderheiden, G., Jacobs, I. (eds.) Web Content Accessibility Guidelines 1.0. Available at http://www.w3.org/TR/WAI-WEBCONTENT/ (1999). 5 May 1999

  9. Cooper, M., Limbourg, Q., Mariage, C., Vanderdonckt, J.: Integrating universal design into a global approach for managing very large web sites. In: Kobsa, A., Stephanidis, C., (eds.) Proceedings of the 5th ERCIM Workshop on User Interfaces for All, pp. 131–150 (1999)

  10. Farenc, Ch., Liberati, V., Barthet, M.-F.: Automatic ergonomic evaluation: what are the limits? In: Vanderdonckt, J. (ed.) Proceedings of 2nd International Workshop on Computer-Aided Design of User Interfaces CADUI’96, pp. 159–170 (1996)

  11. Fukuda, K., Saito, S., Takagi, H., Asakawa, C.: Proposing new metrics to evaluate web usability for the blind. Extended Abstracts Proceedings of the 2005 Conference on Human Factors in Computing Systems, CHI 2005, pp. 1387–1390 (2005)

  12. Hackett, S., Parmanto, B., Zeng, X.: Accessibility of Internet websites through time. In: Proceedings of 6th International ACM SIGACCESS Conference on Computers and Accessibility, pp. 32–39 (2004)

  13. Ivory, M.I., Yu, S., Gronemyer, K.: Search result exploration: a preliminary study of blind and sighted users’ decision making and performance. CHI Extended Abstracts 2004, pp. 1453–1456 (2004)

  14. Kobayashi, M., Takeda, K.: Information retrieval on the web. ACM Comput Surv 32(2), 144–173 (2000)

    Google Scholar 

  15. Masson, R., Michel, G.: A search engine for the visually impaired. In: Proceedings of 8th European conference for the advancement of assistive technology in Europe (AAATE), pp. 573–577 (2005)

  16. Nielsen, J., Mack, R.: Usability inspection methods. Wiley, New York (1994)

  17. O’Donnell, R.D., Eggemeier, F.T.: Workload assessment methodology. In: Boff, K., Kaufman, L., Thomas, J. (eds.) Handbook of Perception and Performance, vol. II, chap 42. Wiley, New York (1986)

  18. Olsina, L., Rossi, G.: Measuring web application quality with WebQEM. IEEE Multimed. 9(4) 20–29 (2002)

    Google Scholar 

  19. Pemberton, S.: The kiss of the spiderbot. ACM Interact. 10(1), 44 (2003)

    Google Scholar 

  20. Rubin, J.: Handbook of Usability Testing. Wiley, New York (1994)

  21. Snaprud, M.H., Ulltveit-Moe, N., Pillai, A.B., Olsen, M.G.: A Proposed architecture for large scale web accessibility assessment. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) Computers Helping People with Special Needs. Lecture Notes in Computer Science, vol. 4061, pp. 234–241. Springer, Berlin (2006)

  22. Sullivan, T., Matson, R.: Barriers to use: usability and content accessibility on the Web’s most popular sites. ACM Conference on Universal Usability. Proceedings of the 2000 Conference on Universal Usability, pp. 139–144 (2000)

  23. Vigo, M., Arrue, M., Brajnik, G., Lomuscio, R., Abascal, J.: Quantitative metrics for measuring web accessibility. International Cross-Disciplinary Workshop on Web Accessibility, W4A 2007, Banff, Canada, 7–8 May 2007, pp. 99–107, ACM Press (2007)

  24. Zhu, X., Gauch, S.: Incorporating quality metrics in centralised/distributed information retrieval on the World Wide Web. Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 288–295 (2000)

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Acknowledgments

Markel Vigo’s work is funded by the Department of Education, Universities and Research of Basque Government. The Council of Gipuzkoa has also supported this research.

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Correspondence to Myriam Arrue.

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Arrue, M., Vigo, M. & Abascal, J. Web accessibility awareness in search engine results. Univ Access Inf Soc 7, 103–116 (2008). https://doi.org/10.1007/s10209-007-0106-8

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