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
Perceptual (Re)learning: A Leverage Point for Human-Centered Computing
IEEE Intelligent Systems
Testing for statistically significant differences between groups of scan patterns
Proceedings of the 2008 symposium on Eye tracking research & applications
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Scanpath clustering and aggregation
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Simulating human saccadic scanpaths on natural images
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Guiding attention in controlled real-world environments
Proceedings of the ACM Symposium on Applied Perception
A visual approach for scan path comparison
Proceedings of the Symposium on Eye Tracking Research and Applications
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Human perceptual expertise has significant influence on medical image inspection. However, little is known regarding whether experts differ in their cognitive processing or what effective visual strategies they employ for examining medical images. To remedy this, we conduct an eye tracking experiment and collect both eye movement and verbal description data from three groups of subjects with different medical training levels. Each subject examines and describes 42 photographic dermatological images. We then develop a hierarchical probabilistic framework to extract the common and unique eye movement patterns exhibited among multiple subjects' fixation and saccadic eye movements within each expertise-specific group. Furthermore, experts' annotations of thought units on the transcribed verbal descriptions are time-aligned with these eye movement patterns to identify their semantic meanings. In this work, we are able to uncover the manner in which these subjects alternated their viewing strategies over the course of inspection, and additionally extract their perceptual expertise so that it can be used for advanced medical image understanding.