Abstract
Webpage usability is crucial for customer satisfaction and loyalty. Yet, evaluations of webpages are usually tedious or do not provide sufficient information. Thus, we aim at providing a novel layout-independent framework for automatically predicting a quantitative measure of usability from user interactions. A study has shown that it is necessary to take into account differences in user intention and structural features already for very similar webpages. We propose preprocessing steps in terms of structure-based clustering and determining user intention, which will make it possible to provide meaningful usability models that support satisfaction and loyalty.
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Speicher, M., Both, A., Gaedke, M. (2013). Was That Webpage Pleasant to Use? Predicting Usability Quantitatively from Interactions. In: Sheng, Q.Z., Kjeldskov, J. (eds) Current Trends in Web Engineering. ICWE 2013. Lecture Notes in Computer Science, vol 8295. Springer, Cham. https://doi.org/10.1007/978-3-319-04244-2_33
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DOI: https://doi.org/10.1007/978-3-319-04244-2_33
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04243-5
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