Abstract
After presenting the ezDL experimental framework for the evaluation of user interfaces to digital library systems, we describe a new method for the quantitative analysis of user search sessions at a cognitive level. We combine system logs with gaze tracking, which is enhanced by a new framework for capturing dynamic areas of interest. This observation data is mapped onto a user action level. Then the user search process is modeled as a Markov-chain. The analysis not only allows for a better understanding of user behavior, but also points out possible system improvements.
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Tran, T.V., Fuhr, N. (2012). Quantitative Analysis of Search Sessions Enhanced by Gaze Tracking with Dynamic Areas of Interest. In: Zaphiris, P., Buchanan, G., Rasmussen, E., Loizides, F. (eds) Theory and Practice of Digital Libraries. TPDL 2012. Lecture Notes in Computer Science, vol 7489. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33290-6_53
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DOI: https://doi.org/10.1007/978-3-642-33290-6_53
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