Robust clustering of eye movement recordings for quantification of visual interest
Proceedings of the 2004 symposium on Eye tracking research & applications
Use of eye movements as feedforward training for a synthetic aircraft inspection task
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving visual search with image segmentation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Subtle gaze manipulation for improved mammography training
Proceedings of the Symposium on Eye Tracking Research and Applications
Gaze-augmented think-aloud as an aid to learning
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Guiding attention in controlled real-world environments
Proceedings of the ACM Symposium on Applied Perception
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In certain applications such as radiology and imagery analysis, it is important to minimize errors. In this paper we evaluate a structured inspection method that uses eye tracking information as a feedback mechanism to the image inspector. Our two-phase method starts with a free viewing phase during which gaze data is collected. During the next phase, we either segment the image, mask previously seen areas of the image, or combine the two techniques, and repeat the search. We compare the different methods proposed for the second search phase by evaluating the inspection method using true positive and false negative rates, and subjective workload. Results show that gaze-blocked configurations reduced the subjective workload, and that gaze-blocking without segmentation showed the largest increase in true positive identifications and the largest decrease in false negative identifications of previously unseen objects.