Paper Info
Title
Space-time volume visualization of gaze and stimulus
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.
Year
DOI
Venue
2019
10.1145/3314111.3319812
Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications
Keywords
Field
DocType
eye tracking, space-time cube, volume visualization
Space time,Computer vision,Volume rendering,Gaze,Visualization,Computer science,Eye tracking,Artificial intelligence,Point cloud,Optical flow,Cube
Conference
ISBN
Citations 
PageRank 
978-1-4503-6709-7
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Valentin Bruder123.75
Kuno Kurzhals222720.63
Steffen Frey311618.93
Daniel Weiskopf42988204.30
Thomas Ertl54417401.52