%0 Conference Paper %1 conf/etra/BruderKFWE19 %A Bruder, Valentin %A Kurzhals, Kuno %A Frey, Steffen %A Weiskopf, Daniel %A Ertl, Thomas %B Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA) %D 2019 %E Krejtz, Krzysztof %E Sharif, Bonita %I ACM %K 2019 A02 B01 from:leonkokkoliadis sfbtrr161 visus visus:brudervn visus:ertl visus:freysn visus:kurzhakn visus:weiskopf %P 12:1-12:9 %R 10.1145/3314111.3319812 %T Space-Time Volume Visualization of Gaze and Stimulus %U https://doi.org/10.1145/3314111.3319812 %X We present a method for the spatio-temporal analysis of gaze data from multiple participants in the context of a video stimulus. For such data, an overview of the recorded patterns is important to identify common viewing behavior (such as attentional synchrony) and outliers. We adopt the approach of space-time cube visualization, which extends the spatial dimensions of the stimulus by time as the third dimension. Previous work mainly handled eye tracking data in the space-time cube as point cloud, providing no information about the stimulus context. This paper presents a novel visualization technique that combines gaze data, a dynamic stimulus, and optical flow with volume rendering to derive an overview of the data with contextual information. With specifically designed transfer functions, we emphasize different data aspects, making the visualization suitable for explorative analysis and for illustrative support of statistical findings alike. %@ 978-1-4503-6709-7

@inproceedings{conf/etra/BruderKFWE19, abstract = {We present a method for the spatio-temporal analysis of gaze data from multiple participants in the context of a video stimulus. For such data, an overview of the recorded patterns is important to identify common viewing behavior (such as attentional synchrony) and outliers. We adopt the approach of space-time cube visualization, which extends the spatial dimensions of the stimulus by time as the third dimension. Previous work mainly handled eye tracking data in the space-time cube as point cloud, providing no information about the stimulus context. This paper presents a novel visualization technique that combines gaze data, a dynamic stimulus, and optical flow with volume rendering to derive an overview of the data with contextual information. With specifically designed transfer functions, we emphasize different data aspects, making the visualization suitable for explorative analysis and for illustrative support of statistical findings alike.}, added-at = {2020-10-09T12:31:46.000+0200}, author = {Bruder, Valentin and Kurzhals, Kuno and Frey, Steffen and Weiskopf, Daniel and Ertl, Thomas}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/220694b873b15da5fd53a010627d24494/mueller}, booktitle = {Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA)}, description = {Space-Time Volume Visualization of Gaze and Stimulus}, doi = {10.1145/3314111.3319812}, editor = {Krejtz, Krzysztof and Sharif, Bonita}, ee = {https://doi.org/10.1145/3314111.3319812}, interhash = {83bd23918c088568e8b933189ef4a093}, intrahash = {20694b873b15da5fd53a010627d24494}, isbn = {978-1-4503-6709-7}, keywords = {2019 A02 B01 from:leonkokkoliadis sfbtrr161 visus visus:brudervn visus:ertl visus:freysn visus:kurzhakn visus:weiskopf}, pages = {12:1-12:9}, publisher = {ACM}, timestamp = {2020-10-09T10:31:46.000+0200}, title = {Space-Time Volume Visualization of Gaze and Stimulus}, url = {https://doi.org/10.1145/3314111.3319812}, year = 2019 }