User behavior analysis using eye-tracking
Jakub Šimko
The Centre of User Experperience and Interaction (UXI) at Slovak University of Technology in Bratislava dedicates itself on exploring new ways of behavior analysis of users in digital environments. In particular, we give emphasis to automated (and quantitative) analysis of user logs, including also recordings from unusual sensors and most prominently: eye-tracking. Eye-tracking is traditionally used for qualitative studies and the analysis of eye-gaze data requires a great deal of manual expert activity. If an automated analysis is possible, it requires well crafted and/or too constrained study designs and implementations, mostly to account for environment complexity. At UXI, we have the infrastructure to support large scale collection of gaze-behavior, which makes the need for manual analysis even more severe. This motivates one of the main research goals we pursue at UXI, to make the analysis of eye-tracked data more automated. In this presentation, we will briefly cover the issues we are dealing with in this field and present current or recently finished examples of performed studies and methods developed.
Slovak University of Technology in Bratislava, SK
[email protected]
The Centre of User Experperience and Interaction (UXI) at Slovak University of Technology in Bratislava dedicates itself on exploring new ways of behavior analysis of users in digital environments. In particular, we give emphasis to automated (and quantitative) analysis of user logs, including also recordings from unusual sensors and most prominently: eye-tracking. Eye-tracking is traditionally used for qualitative studies and the analysis of eye-gaze data requires a great deal of manual expert activity. If an automated analysis is possible, it requires well crafted and/or too constrained study designs and implementations, mostly to account for environment complexity. At UXI, we have the infrastructure to support large scale collection of gaze-behavior, which makes the need for manual analysis even more severe. This motivates one of the main research goals we pursue at UXI, to make the analysis of eye-tracked data more automated. In this presentation, we will briefly cover the issues we are dealing with in this field and present current or recently finished examples of performed studies and methods developed.
Slovak University of Technology in Bratislava, SK
[email protected]