%0 Conference Paper %1 loeweETVIS2015 %A Löwe, Thomas %A Stengel, Michael %A Förster, Emmy-Charlotte %A Grogorick, Steve %A Magnor, Marcus %B Proc. Workshop on Eye Tracking and Visualization (ETVIS) 2015 %D 2015 %K myown %T Visualization and Analysis of Head Movement and Gaze Data for Immersive Video in Head-mounted Displays %U http://www.cg.cs.tu-bs.de/publications/loeweETVIS2015/ %V 1 %X Abstract In contrast to traditional video, immersive video allows viewers to interactively control their field of view in a 360° panoramic scene. However, established methods for the comparative evaluation of gaze data for video require that all participants observe the same viewing area. We therefore propose new specialized visualizations and a novel visual analytics workflow for the combined analysis of head movement and gaze data. A View Similarity visualization highlights viewing areas branching and joining over time, while three additional visualizations provide global and spatial context. These new visualizations, along with established gaze evaluation techniques, allow analysts to investigate the storytelling of immersive video. We demonstrate the usefulness of our approach using head movement and gaze data recorded for both amateur panoramic videos, as well as professionally composited immersive videos.

@inproceedings{loeweETVIS2015, abstract = {Abstract In contrast to traditional video, immersive video allows viewers to interactively control their field of view in a 360° panoramic scene. However, established methods for the comparative evaluation of gaze data for video require that all participants observe the same viewing area. We therefore propose new specialized visualizations and a novel visual analytics workflow for the combined analysis of head movement and gaze data. A View Similarity visualization highlights viewing areas branching and joining over time, while three additional visualizations provide global and spatial context. These new visualizations, along with established gaze evaluation techniques, allow analysts to investigate the storytelling of immersive video. We demonstrate the usefulness of our approach using head movement and gaze data recorded for both amateur panoramic videos, as well as professionally composited immersive videos. }, added-at = {2016-01-18T16:05:50.000+0100}, author = {L{\"{o}}we, Thomas and Stengel, Michael and F{\"{o}}rster, Emmy-Charlotte and Grogorick, Steve and Magnor, Marcus}, biburl = {https://www.bibsonomy.org/bibtex/2712ed6e19afcc694a9e02ff8be0ad5ae/tubsicg}, booktitle = {Proc. Workshop on Eye Tracking and Visualization {(ETVIS)} 2015}, howpublished = {Workshop on Eye Tracking and Visualization {(ETVIS)} 2015}, interhash = {c8daa4e92c0da40da9d350e3d49d6ba5}, intrahash = {712ed6e19afcc694a9e02ff8be0ad5ae}, keywords = {myown}, month = oct, timestamp = {2016-01-18T16:05:50.000+0100}, title = {Visualization and Analysis of Head Movement and Gaze Data for Immersive Video in Head-mounted Displays}, url = {http://www.cg.cs.tu-bs.de/publications/loeweETVIS2015/}, volume = 1, year = 2015 }