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International Conference on Computers for Handicapped Persons

ICCHP 2006: Computers Helping People with Special Needs pp 184–191Cite as

Interpreting Results from Large Scale Automatic Evaluation of Web Accessibility

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4061))

Abstract

The large amount of data produced by automatic web accessibility evaluation has to be preprocessed in order to enable disabled users or policy makers to draw meaningful conclusions from the assessment. We study different methods for interpretation and aggregation of the results provided by automatic assessment tools. Current approaches do not meet all the requirements suggested in the literature. Based on the UCAB approach decribed in UWEM 0.5 we develop a new aggregation function targeted at the requirements.

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References

  1. W3 Consortium: Web content accessibility guidelines 1.0 (1999), Available at http://www.w3.org/TR/WCAG10/

  2. Web Accessibility Benchmarking Cluster: D-WAB2 unified web evaluation methodology (uwem 0.5) (2005), available from http://www.wabcluster.org/uwem05/

  3. McCathieNevile, C., Abou-Zahra, S.: Evaluation and report language (EARL) 1.0 Schema. W3C editor’s working draft (2006), Available at http://www.w3.org/WAI/ER/EARL10/WD-EARL10-Schema-20060101

  4. Zeng, X.: Evaluation and Enhancement of Web Content Accessibility for Persons with Disabilities. PhD thesis, University of Pittsburgh (2004)

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  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)

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Author information

Authors and Affiliations

  1. Forschungsinstitut Technologie-Behindertenhilfe (FTB), der Evangelischen Stiftung Volmarstein, Grundschötteler Str. 40, 58300, Wetter (Ruhr), Germany

    Christian Bühler, Helmut Heck, Olaf Perlick & Annika Nietzio

  2. Fakultet for Teknologi, Høgskolen i Agder, Grooseveien 36, 4876, Grimstad, Norway

    Nils Ulltveit-Moe

Authors
  1. Christian Bühler
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  2. Helmut Heck
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  3. Olaf Perlick
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  4. Annika Nietzio
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  5. Nils Ulltveit-Moe
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Editor information

Editors and Affiliations

  1. Institut Integriert Studieren, Johannes Kepler Universität, Altenbergerstraße 69, 4040, Linz, Austria

    Klaus Miesenberger

  2. Studienzentrum fuer Sehgeschaedigte, Universitaet Karlsruhe (TH), Germany

    Joachim Klaus

  3. fortec - Research Group on Rehabilitation Technology, Institute integrated study, Vienna Univ. of Technology, Favoritenstr. 11/029, A 1040, Vienna, Austria

    Wolfgang L. Zagler

  4. The Universal Math Access Lab, University of San Francisco, 281 Masonic San Francisco, 94117, CA, USA

    Arthur I. Karshmer

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Bühler, C., Heck, H., Perlick, O., Nietzio, A., Ulltveit-Moe, N. (2006). Interpreting Results from Large Scale Automatic Evaluation of Web Accessibility. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds) Computers Helping People with Special Needs. ICCHP 2006. Lecture Notes in Computer Science, vol 4061. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788713_28

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  • DOI: https://doi.org/10.1007/11788713_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36020-9

  • Online ISBN: 978-3-540-36021-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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