Title
Region of interest generation algorithms for eye tracking data
Abstract
Using human fixation behavior, we can interfere regions that require to be processed at high resolution and where stronger compression can be favored. Analyzing the visual scan path solely based on a predefined set of regions of interest (ROIs) limits the exploration room of the analysis. Insights can only be gained for those regions that the data analyst considered worthy of labeling. Furthermore, visual exploration is naturally time-dependent: A short initial overview phase may be followed by an in-depth analysis of regions that attracted the most attention. Therefore, the shape and size of regions of interest may change over time. Automatic ROI generation can help in automatically reshaping the ROIs to the data of a time slice. We developed three novel methods for automatic ROI generation and show their applicability to different eye tracking data sets. The methods are publicly available as part of the EyeTrace software at http://www.ti.uni-tuebingen.de/Eyetrace.175L0.html
Year
DOI
Venue
2018
10.1145/3205929.3205937
ETVIS@ETRA
Keywords
DocType
ISBN
ROI generation, AOI generation, Eye tracking analysis, Visualization, Expertise classification, Abstract art
Conference
978-1-4503-5787-6
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Wolfgang Fuhl194.61
Thomas C. Kübler212412.57
Hanna Brinkmann300.68
Raphael Rosenberg400.68
Wolfgang Rosenstiel51462212.32
Enkelejda Kasneci620233.86
Thomas Kuebler700.34