Abstract
In the context of user-centric design and customer profiling based on the persona paradigm, the paper proposes a Web application model focused on integrating eye tracking data and user-defined metadata with a profile repository. During user-computer interaction through an AJAX-driven graphic interface or interactive document, the user attention map is captured with eye tracking tools and converted in formats that are fit for mining and inferring on relationships between the key concepts that attracted the user’s attention. For facile integration of metadata with HTML dynamically generated pages, solutions such as microformats and RDF in attributes are employed.
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Buchmann, R.A., Meza, R. (2010). Capturing Eye Tracking Data for Customer Profiling. In: Abramowicz, W., Tolksdorf, R. (eds) Business Information Systems. BIS 2010. Lecture Notes in Business Information Processing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12814-1_9
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DOI: https://doi.org/10.1007/978-3-642-12814-1_9
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