Objective: Surgeons' vigilance regarding patient condition was assessed using eye-tracking techniques during a simulated laparoscopic procedure.
Methods: Surgeons were required to perform a partial cholecystectomy in a virtual reality trainer (SurgicalSim; METI Inc, Sarasota, FL) while wearing a lightweight head-mounted eye-tracker (Locarna systems Inc, Victoria, British Columbia, Canada). Half of the patients were preprogrammed to present a mildly unstable cardiac condition during the procedure.
We introduce eSeeTrack, an eye-tracking visualization prototype that facilitates exploration and comparison of sequential gaze orderings in a static or a dynamic scene. It extends current eye-tracking data visualizations by extracting patterns of sequential gaze orderings, displaying these patterns in a way that does not depend on the number of fixations on a scene, and enabling users to compare patterns from two or more sets of eye-gaze data. Extracting such patterns was very difficult with previous visualization techniques.
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January 2010
Spatialization displays use a geographic metaphor to arrange non-spatial data. For example, spatializations are commonly applied to document collections so that document themes appear as geographic features such as hills. Many common spatialization interfaces use a 3-D landscape metaphor to present data.
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