%0 Conference Paper %1 Klötzl2024 %A Klötzl, Daniel %A Krake, Tim %A Heyen, Frank %A Becher, Michael %A Koch, Maurice %A Weiskopf, Daniel %A Kurzhals, Kuno %B Proceedings of the 2024 Symposium on Eye Tracking Research and Applications %C New York, NY, USA %D 2024 %I Association for Computing Machinery %K myown visus:weiskopf dropit visus:kloetzdl visus %P 1–9 %R 10.1145/3649902.3653518 %T NMF-Based Analysis of Mobile Eye-Tracking Data %U https://doi.org/10.1145/3649902.3653518 %X The depiction of scanpaths from mobile eye-tracking recordings by thumbnails from the stimulus allows the application of visual computing to detect areas of interest in an unsupervised way. We suggest using nonnegative matrix factorization (NMF) to identify such areas in stimuli. For a user-defined integer k, NMF produces an explainable decomposition into k components, each consisting of a spatial representation associated with a temporal indicator. In the context of multiple eye-tracking recordings, this leads to k spatial representations, where the temporal indicator highlights the appearance within recordings. The choice of k provides an opportunity to control the refinement of the decomposition, i.e., the number of areas to detect. We combine our NMF-based approach with visualization techniques to enable an exploratory analysis of multiple recordings. Finally, we demonstrate the usefulness of our approach with mobile eye-tracking data of an art gallery. %@ 9798400706073

@inproceedings{Klötzl2024, abstract = {The depiction of scanpaths from mobile eye-tracking recordings by thumbnails from the stimulus allows the application of visual computing to detect areas of interest in an unsupervised way. We suggest using nonnegative matrix factorization (NMF) to identify such areas in stimuli. For a user-defined integer k, NMF produces an explainable decomposition into k components, each consisting of a spatial representation associated with a temporal indicator. In the context of multiple eye-tracking recordings, this leads to k spatial representations, where the temporal indicator highlights the appearance within recordings. The choice of k provides an opportunity to control the refinement of the decomposition, i.e., the number of areas to detect. We combine our NMF-based approach with visualization techniques to enable an exploratory analysis of multiple recordings. Finally, we demonstrate the usefulness of our approach with mobile eye-tracking data of an art gallery.}, added-at = {2024-06-21T11:47:21.000+0200}, address = {New York, NY, USA}, author = {Klötzl, Daniel and Krake, Tim and Heyen, Frank and Becher, Michael and Koch, Maurice and Weiskopf, Daniel and Kurzhals, Kuno}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/23bee5f0d785c3e9a969e6421312e2669/dropit}, booktitle = {Proceedings of the 2024 Symposium on Eye Tracking Research and Applications}, day = 4, doi = {10.1145/3649902.3653518}, interhash = {e2ee5bef062141a29b4e9f2352ed6619}, intrahash = {3bee5f0d785c3e9a969e6421312e2669}, isbn = {9798400706073}, keywords = {myown visus:weiskopf dropit visus:kloetzdl visus}, location = {<conf-loc>, <city>Glasgow</city>, <country>United Kingdom</country>, </conf-loc>}, month = {6}, pages = {1–9}, publisher = {Association for Computing Machinery}, series = {ETRA '24}, timestamp = {2024-07-08T08:23:41.000+0200}, title = {NMF-Based Analysis of Mobile Eye-Tracking Data}, url = {https://doi.org/10.1145/3649902.3653518}, year = 2024 }