%0 Journal Article %1 10.1145/3530795 %A Koch, Maurice %A Weiskopf, Daniel %A Kurzhals, Kuno %C New York, NY, USA %D 2022 %I Association for Computing Machinery %J Proceedings of the ACM on Computer Graphics and Interactive Techniques %K 2022 B01 myown peer rp28 sfbtrr161 visus visus:kochme visus:kurzhako visus:weiskopf %N 2 %R 10.1145/3530795 %T A Spiral into the Mind: Gaze Spiral Visualization for Mobile Eye Tracking %U https://doi.org/10.1145/3530795 %V 5 %X Comparing mobile eye tracking data from multiple participants without information about areas of interest (AOIs) is challenging because of individual timing and coordinate systems. We present a technique, the gaze spiral, that visualizes individual recordings based on image content of the stimulus. The spiral layout of the slitscan visualization is used to create a compact representation of scanpaths. The visualization provides an overview of multiple recordings even for long time spans and helps identify and annotate recurring patterns within recordings. The gaze spirals can also serve as glyphs that can be projected to 2D space based on established scanpath metrics in order to interpret the metrics and identify groups of similar viewing behavior. We present examples based on two egocentric datasets to demonstrate the effectiveness of our approach for annotation and comparison tasks. Our examples show that the technique has the potential to let users compare even long-term recordings of pervasive scenarios without manual annotation.

@article{10.1145/3530795, abstract = {Comparing mobile eye tracking data from multiple participants without information about areas of interest (AOIs) is challenging because of individual timing and coordinate systems. We present a technique, the gaze spiral, that visualizes individual recordings based on image content of the stimulus. The spiral layout of the slitscan visualization is used to create a compact representation of scanpaths. The visualization provides an overview of multiple recordings even for long time spans and helps identify and annotate recurring patterns within recordings. The gaze spirals can also serve as glyphs that can be projected to 2D space based on established scanpath metrics in order to interpret the metrics and identify groups of similar viewing behavior. We present examples based on two egocentric datasets to demonstrate the effectiveness of our approach for annotation and comparison tasks. Our examples show that the technique has the potential to let users compare even long-term recordings of pervasive scenarios without manual annotation.}, added-at = {2022-05-19T11:18:51.000+0200}, address = {New York, NY, USA}, articleno = {20}, author = {Koch, Maurice and Weiskopf, Daniel and Kurzhals, Kuno}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/21f87647e4235417b7332ad9bd230b7dc/maurice.koch}, doi = {10.1145/3530795}, interhash = {987e91b458792138a078eeee62f91b3d}, intrahash = {1f87647e4235417b7332ad9bd230b7dc}, issue_date = {May 2022}, journal = {Proceedings of the ACM on Computer Graphics and Interactive Techniques}, keywords = {2022 B01 myown peer rp28 sfbtrr161 visus visus:kochme visus:kurzhako visus:weiskopf}, month = may, number = 2, numpages = {16}, publisher = {Association for Computing Machinery}, timestamp = {2022-05-19T13:25:41.000+0200}, title = {A Spiral into the Mind: Gaze Spiral Visualization for Mobile Eye Tracking}, url = {https://doi.org/10.1145/3530795}, volume = 5, year = 2022 }