An acceptability predictor for websites.

Adams, Ray G., White, Anthony S. and Ceylan, Efe (2009) An acceptability predictor for websites. In: Universal access in human-computer interaction. Applications and services. Lecture Notes in Computer Science., 5616 . Springer Berlin, pp. 628-634. ISBN 9783642027123. [Book Section] (doi:10.1007/978-3-642-02713-0_66)

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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.

Item Type: Book Section
Additional Information: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services. San Diego, CA, July 19 - 24, 2009. Section: Universal Access to the World Wide Web.
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 4394
Depositing User: Devika Mohan
Date Deposited: 05 Mar 2010 07:30
Last Modified: 30 Aug 2021 08:44

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