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Universal Access in Human-Computer Interaction. Applications and Services

Volume 5616 of the series Lecture Notes in Computer Science pp 628-634

An Acceptability Predictor for Websites

  • Ray AdamsAffiliated withLancaster UniversitySchool of Engineering & Information Sciences, Middlesex University
  • , Anthony WhiteAffiliated withLancaster UniversitySchool of Engineering & Information Sciences, Middlesex University
  • , Efe CeylanAffiliated withLancaster UniversitySchool of Engineering & Information Sciences, Middlesex University

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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