A Model of Air to Ground Target Acquisition Based on Logistic Regression Analysis

Abstract

Logistic regression, a technique for describing relationships between a binary or dichotomous dependent variable and one or more independent variables that can be either discrete or continuous, is demonstrated to be an effective analytical tool for evaluating data collected using psychophysical methods and signal detection procedures. One specific application of logistic regression is the assessment of operational factors on human performance in visual target acquisition. Visual target acquisition data collected using signal detection procedures were reanalyzed using logistic regression techniques. The application of these logistic regression techniques produced empirically derived psychophysical models of target detection capabilities under various conditions. Such models can be used to predict human performance in visual target acquisition under various operational constraints.