Paper Info
Title
Gaze self-similarity plots as a useful tool for eye movement characteristics analysis
Abstract
Eye tracking becomes more and more important way to analyze human behavior. However, a proper analysis of data obtained from an eye tracker occurs to be a challenging task. Traditional visualization techniques like scanpaths or heat maps may reveal interesting information, however much of useful information is still not visible, especially when the temporal characteristics of eye movement is taken into account. This paper introduces a technique called gaze self-similarity plot (GSSP) that may be applied to visualize both spatial and temporal eye movement features on one two dimensional plot. The technique is an extension of the idea of recurrence plots, commonly used in time series analysis. The paper introduces the basic concepts of the proposed approach complemented with some examples explaining what kind of information may be revealed and areas of the GSSP applications.
Year
DOI
Venue
2016
10.1109/ETVIS.2016.7851157
2016 IEEE Second Workshop on Eye Tracking and Visualization (ETVIS)
Keywords
Field
DocType
K.6.1 [Management of Computing and InformationSystems]: Project and People Management-Life Cycle, K.7.m[The Computing Profession]: Miscellaneous-Ethics
Computer vision,Data visualization,Gaze,Data analysis,Visualization,Computer science,Eye tracking,Eye movement,Artificial intelligence,Self-similarity,Creative visualization
Conference
ISBN
Citations 
PageRank 
978-1-5090-4732-1
0
0.34
References 
Authors
4
2
Name
Order
Citations
PageRank
Pawel Kasprowski17612.99
Katarzyna Harezlak24511.59