Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual attention to repeated internet images: testing the scanpath theory on the world wide web
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
eyePatterns: software for identifying patterns and similarities across fixation sequences
Proceedings of the 2006 symposium on Eye tracking research & applications
Testing for statistically significant differences between groups of scan patterns
Proceedings of the 2008 symposium on Eye tracking research & applications
Conservative adjustment of permutation p-values when the number of permutations is limited
International Journal of Bioinformatics Research and Applications
Attention guidance during example study via the model's eye movements
Computers in Human Behavior
Fewer permutations, more accurate P-values
Bioinformatics
A permutation test motivated by microarray data analysis
Computational Statistics & Data Analysis
Gaze scribing in physics problem solving
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
| Hi-index | 0.00 |
This paper presents a permutation test that statistically compares two groups of scanpaths. The test uses normalized Levenshtein distances when the lengths of scanpaths are not the same. This method was applied in a recent eye-tracking experiment in which two groups of chemistry students viewed nuclear magnetic resonance (NMR) spectroscopic signals and chose the corresponding molecular structure from the candidates. A significant difference was detected between the two groups, which is consistent with the fact that students in the expert group showed more efficient scan patterns in the experiment than the novice group. Various numbers of permutations were tested and the results showed that p-values only varied in a small range with different permutation numbers and that the statistical significance was not affected.