An Acceptability Predictor for Websites

  • Ray Adams
  • Anthony White
  • Efe Ceylan
Conference paper

DOI: 10.1007/978-3-642-02713-0_66

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5616)
Cite this paper as:
Adams R., White A., Ceylan E. (2009) An Acceptability Predictor for Websites. In: Stephanidis C. (eds) Universal Access in Human-Computer Interaction. Applications and Services. UAHCI 2009. Lecture Notes in Computer Science, vol 5616. Springer, Berlin, Heidelberg

Abstract

User acceptance is a high priority for website design and implementation. Two significant, but largely separate, approaches to acceptability are: First, the Web Accessibility Initiative (WAI) has explored the measurement of technical features of a website to gauge its accessibility. Second, human judgments about acceptability are obtained from intended users or experts. The present work explores the important question of how best to combine these two methods. Experiment One required new users to explore automatic website evaluation systems. They found two of four systems difficult or impossible to use and system outputs difficult to understand. Experiment Two combines formal properties and user judgments, using an automatic system to predict user judgments from formal website properties. A simple system was able to predict user judgments within 91% accuracy. Clearly, user judgments about websites can be predicted reliably, a result of value to designers.

Keywords

Prediction acceptability usability accessibility websites 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ray Adams
    • 1
  • Anthony White
    • 1
  • Efe Ceylan
    • 1
  1. 1.School of Engineering & Information SciencesMiddlesex UniversityLondonUK

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