An Acceptability Predictor for Websites

  • Ray Adams
  • Anthony White
  • Efe Ceylan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5616)

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 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Adams, R.: Natural computing and interactive system design. Pearson, London (2005)Google Scholar
  2. 2.
    Adams, R., Smith-Atakan, A.S.: Human-computer interaction: users, tasks and designs. Middlesex University Press, London (2005)Google Scholar
  3. 3.
    Adams, R., Gill, S. (eds.): HCI 2007. LNCS, vol. 4554, pp. 584–592. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  4. 4.
    Adams, R.: Evaluating the next generation of multimedia software. In: Tsihrintzis, G.A., Virvou, M., Howlett, R.J., Jain, L.C. (eds.) New Directions in intelligent interactive multimedia. Studies in computational intelligence, vol. 142. Springer, Heidelberg (2008)Google Scholar
  5. 5.
    Adams, R., Granić, A.: Technology Enabled Learning Worlds. In: Lazinica, A. (ed.) Advances in Human-Computer Interaction, I-Tech., Vienna (2008)Google Scholar
  6. 6.
    Adams, R.: User modelling & monitoring. In: Stephanidis, C. (ed.) The Universal Access Handbook (LEA) (in press)Google Scholar
  7. 7.
    Moseley, R.: Developing Web Applications. John Wiley and Sons, London (2007)Google Scholar

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

Personalised recommendations