Modeling Human Eye Movements for Military Simulations

Abstract

Models of eye meovements of an observer searching for human targets are helpful in developing accurate models of target acquisition times and false positive dtections. We develop a new model descrbing the distribution of gaze position for an observer which includes both botttom-up (salience) and top-down (task dependent) factors. We validate the combined model against a bottom-up model from the literaure and against the bottom up and top 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 terrain and target that is obtained directly from the 3D simulation through an automated process.