Quantifying Eye Movement Trajectory Similarity for Use in Human Performance Experiments in Intelligence, Surveillance, and Reconnaissance (ISR) Research

The performance of persons who watch surveillance videos, either in real-time or recordings, can vary with their level of expertise. It is reasonable to suppose that some of the performance differences might be due, at least in part, to the way experts scan a visual scene versus the way novices might scan the same scene. For example, experts might be more systematic or efficient in the way they scan a scene compared to novices. Even within the same person, video surveillance performance can vary with factors such as fatigue. Again, differences in the way their eyes scan a scene might account for some of the differences. Full Motion Video (FMV) “Eyes-on” intelligence analysts, in particular, actively scan video scenes for items of interest for long periods of time.