Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust clustering of eye movement recordings for quantification of visual interest
Proceedings of the 2004 symposium on Eye tracking research & applications
Proceedings of the 2008 symposium on Eye tracking research & applications
Static visualization of temporal eye-tracking data
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Eye-tracking reveals the personal styles for search result evaluation
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
You have e-mail, what happens next? Tracking the eyes for genre
Information Processing and Management: an International Journal
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By knowing what people look at while performing tasks, we would be able to better design devices that facilitate users' interaction. Eye tracking is a useful technique to study visual attention but the data are often spatially and temporally complex to analyze. To this aim more sophisticated analytical tools are needed to give meaning to data, especially when both the spatial and temporal components are to be taken in synchrony. In this paper we review statistical methods for spatial and temporal analysis of eye-movement data pinning down advantages and disadvantages while proposing new directions of research.