A computational model for human eye-movements in military simulations

Abstract

Models of eye movements of an observer searching for human targets are helpful in developing accurate models of target acquisition times and false positive detections. We develop a new model describing the distribution of gaze positions for an observer which includes both bottom up and top-down (task dependent) factors. We validate the combined model against down parts alone using human performance data on stationary targets. The new model is shown to be significantly better. The new model requires a large amount of data about the terraim and target that is obtained directly from the 3D simulation through an automated process.