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Towards a Generic Framework for Automatic Measurements of Web Usability Using Affective Computing Techniques

  • Payam Aghaei Pour
  • Rafael A. Calvo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6974)

Abstract

We propose a generic framework for the automatic usability evaluation of web sites by combining traditional automatic usability methods with affective computing techniques. To evaluate a framework a pilot study was carried out where users (n=4) reported their affective states using dimensional and categorical models. Binary task completion, time, mouse clicks, and error rates as an indicator of web usability were automatically captured for each page. Results suggested that frustration experienced when error rates and time for the task were higher. Delight on the other hand was at the other side of the spectrum. In the case that usability measurements had almost same values (e.g. confusing or engaging pages), affective states may be a way to show the difference.

Keywords

affective computing web usability framework 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Payam Aghaei Pour
    • 1
  • Rafael A. Calvo
    • 1
  1. 1.School of Electrical and Information EngineeringUniversity of SydneyAustralia

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