%0 Conference Paper %1 fa59d5154950416f95cd24068d77e555 %A Kurzhals, Kuno %A Hlawatsch, Marcel %A Burch, Michael %A Weiskopf, Daniel %B Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA) %D 2016 %E ACM, %I ACM %K 2016 A01 B01 from:leonkokkoliadis sfbtrr161 vis(us) visus visus:burchml visus:hlawatml visus:kurzhako visus:weiskopf %P 11-18 %T Fixation-Image Charts %U http://dx.doi.org/10.1145/2857491.2857507 %V 1 %X We facilitate the comparative visual analysis of eye tracking data from multiple participants with a visualization that represents the temporal changes of viewing behavior. Common approaches to visually analyze eye tracking data either occlude or ignore the underlying visual stimulus, impairing the interpretation of displayed measures. We introduce fixation-image charts: a new technique to display the temporal changes of fixations in the context of the stimulus without visual overlap between participants. Fixation durations, the distance and direction of saccades between consecutive fixations, as well as the stimulus context can be interpreted in one visual representation. Our technique is not limited to static stimuli, but can be applied to dynamic stimuli as well. Using fixation metrics and the visual similarity of stimulus regions, we complement our visualization technique with an interactive filter concept that allows for the identification of interesting fixation sequences without the time-consuming annotation of areas of interest. We demonstrate how our technique can be applied to different types of stimuli to perform a range of analysis tasks. Furthermore, we discuss advantages and shortcomings derived from a preliminary user study.

@inproceedings{fa59d5154950416f95cd24068d77e555, abstract = {We facilitate the comparative visual analysis of eye tracking data from multiple participants with a visualization that represents the temporal changes of viewing behavior. Common approaches to visually analyze eye tracking data either occlude or ignore the underlying visual stimulus, impairing the interpretation of displayed measures. We introduce fixation-image charts: a new technique to display the temporal changes of fixations in the context of the stimulus without visual overlap between participants. Fixation durations, the distance and direction of saccades between consecutive fixations, as well as the stimulus context can be interpreted in one visual representation. Our technique is not limited to static stimuli, but can be applied to dynamic stimuli as well. Using fixation metrics and the visual similarity of stimulus regions, we complement our visualization technique with an interactive filter concept that allows for the identification of interesting fixation sequences without the time-consuming annotation of areas of interest. We demonstrate how our technique can be applied to different types of stimuli to perform a range of analysis tasks. Furthermore, we discuss advantages and shortcomings derived from a preliminary user study.}, added-at = {2020-01-10T14:37:17.000+0100}, author = {Kurzhals, Kuno and Hlawatsch, Marcel and Burch, Michael and Weiskopf, Daniel}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2a1309c8c32926bea56478c32c9be49ee/sfbtrr161}, booktitle = {Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA)}, description = {Fixation-Image Charts}, editor = {ACM}, interhash = {2567f4b0e3828b6760afaef35732ecc3}, intrahash = {a1309c8c32926bea56478c32c9be49ee}, keywords = {2016 A01 B01 from:leonkokkoliadis sfbtrr161 vis(us) visus visus:burchml visus:hlawatml visus:kurzhako visus:weiskopf}, pages = {11-18}, publisher = {ACM}, timestamp = {2020-03-11T15:25:41.000+0100}, title = {Fixation-Image Charts}, url = {http://dx.doi.org/10.1145/2857491.2857507}, volume = 1, year = 2016 }