Paper Info
Title
Visualizing eye tracking data with gaze-guided slit-scans
Abstract
The slit-scan technique is applied as a means to create artistic static and dynamic representations of motion in videos by arranging small slits of each video frame next to each other. This technique produces compact representations evenfor long timespansof recorded video material. We adapt this approach for the comparison of eye tracking data from multiple participants watching video. We adjust the slit position according to the current gaze coordinates of a participant and display the visual attention in context of the underlying stimulus over time. With additional encodings for the absolute horizontal and vertical position of a gaze point, we present a new visualization technique for scanpath representation.
Year
DOI
Venue
2016
10.1109/ETVIS.2016.7851165
2016 IEEE Second Workshop on Eye Tracking and Visualization (ETVIS)
Keywords
Field
DocType
Human-centered computing [Visualization]: Visualization techniques
Computer vision,Data visualization,Gaze,Computer graphics (images),Visualization,Computer science,Eye tracking,Video tracking,Visual attention,Artificial intelligence,Slit
Conference
ISBN
Citations 
PageRank 
978-1-5090-4732-1
0
0.34
References 
Authors
5
2
Name
Order
Citations
PageRank
Kuno Kurzhals122720.63
Daniel Weiskopf22988204.30