Capturing Eye Tracking Data for Customer Profiling

Buchmann, Robert Andrei; Meza, Radu

doi:10.1007/978-3-642-12814-1_9

Cited by 1 publication

(2 citation statements)

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“…Our paper is strongly related to an earlier published result of our project [6], which presented the client-side eye tracking data capturing mechanism for a Web application model promoting an automated solution for integrating user gaze activity with user profiling and a semantic mapping of the user interface. The previous paper described how gaze activity is captured in graphs stored in convenient data structures, dynamically built on the client-side as JavaScript objects and transferred asynchronously to the server with a certain granularity, using XMLHttpRequest.…”

Section: Problem Context and Statementmentioning

confidence: 97%

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An Eye Tracking Semantic Repository for User Profiling

Buchmann

Meza

Hejja

2010

2010 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

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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.

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Section: Problem Context and Statementmentioning

confidence: 97%

“…On the resulting datastore, graph processing is applied in order to extract relevant information. Due to the problem complexity, the client-side mechanism of capturing the data falls out of the scope of the current paper (we refer to [6] for details).…”

Section: Problem Context and Statementmentioning

confidence: 99%