Static visualization of temporal eye-tracking data

Authors:
Kari-Jouko Räihä;Anne Aula;Päivi Majaranta;Harri Rantala;Kimmo Koivunen
Affiliations:
Tampere Unit for Computer-Human Interaction, Department of Computer Sciences, University of Tampere, Finland;Tampere Unit for Computer-Human Interaction, Department of Computer Sciences, University of Tampere, Finland;Tampere Unit for Computer-Human Interaction, Department of Computer Sciences, University of Tampere, Finland;Tampere Unit for Computer-Human Interaction, Department of Computer Sciences, University of Tampere, Finland;Tampere Unit for Computer-Human Interaction, Department of Computer Sciences, University of Tampere, Finland
Venue:
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Year:
2005

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Abstract

Existing static visualization techniques for eye-tracking data do not make it possible to easily compare temporal information, that is, gaze paths. We review existing techniques and then propose a new technique that treats time as the prime attribute to be visualized. We successfully used the new technique for analysing the visual scanning of web search results listings. Based on our experiences, the new visualization is a valuable tool when the temporal order of visiting Areas of Interest (AOI) is the main focus in the analysis, the AOIs have a natural linear order, there are many AOIs to produce interesting patterns, and the AOIs fill most of the coordinate space being studied.