An Eye Tracking Semantic Repository for User Profiling
Robert Andrei Buchmann, Radu Meza, Anita Hejja · 2010
The paper details the modeling and processing of a semantic behavior repository for Web users/customers in the context of an application model that involves the capturing of eye tracking during the user-interface interaction, AJAX-style communication between the client and the server, and the conversion of user attention maps to convenient data structures. Due to the problem complexity, the client-side mechanism for capturing attention nodes were presented in a previously published paper, thus the current paper covers strictly the server-side details regarding the semantic modeling and programming, with a brief presentation of the context, for coherence reasons.