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Predicting the aesthetic performance of web sites: what attracts people?

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conference contribution
posted on 2024-07-12, 15:14 authored by Andrew HaigAndrew Haig, Allan Whitfield
This paper focuses upon the visual aesthetic performance of web sites. It describes an experiment in which a site, designed at three controlled levels of visual 'enrichment', was evaluated on a number of measures by two subject groups. The measures used represent the two main facets of the Categorical-Motivation model of aesthetics, and included others specific to the performance of web sites. Using Multidimensional Scaling the results were consistent with predictions derived from this model. They indicate that the drivers of site evaluation were primarily exploratory, 'collative ' variables representing 'interest', 'novelty ' and 'fun'.

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1st International Symposium on Smart Graphics 2001, Hawthorne, United States, 21-23 March 2001

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ACM

Copyright statement

Copyright © ACM, 2001. This is the accepted manuscript of the work. It is posted by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of Smart Graphics (2001).

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eng

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