Abstract

The relationship of human target acquisition times and detection probabilities to electronically measured visual clutter was investigated. Ninety computer-generated scenes simulating infrared imagery and containing different levels of clutter and zero, one, two, or three targets were produced. Targets were embedded in these scenes counterbalancing for range and position. Global and local clutter were measured using both statistical variance and probability of edge metrics. Thirty-three aviators, tankers, and infantry soldiers were shown still-video images of the 90 scenes and were instructed to search for targets. Analyses indicate differences between the aviators and tankers in search times and types of errors. Results of multiple regression analyses of global clutter, local clutter, range, target dimension, target complexity, number of targets, and experience on search times are given and discussed in terms search strategies.

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