Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust clustering of eye movement recordings for quantification of visual interest
Proceedings of the 2004 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
Visual scanpath representation
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Space-variant spatio-temporal filtering of video for gaze visualization and perceptual learning
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
| Hi-index | 0.00 |
To evaluate differences across viewers' visual attentional patterns, scanpath comparison has recently gained popularity in eye tracking studies, supplementing traditional objective (performance) and subjective measures (e.g., heat maps or [retrospective] talk-aloud). We introduce iComp, an open-source visualization tool that implements quantitative scanpath comparison in loci and sequence. iComp can be used to objectively compare the attentional qualities of synthetic images.