Improvement of JANUS target acquisition using a fuzzy logic human factors model.

Abstract

Two questions have been addressed by this study. First, what factors affect human target detection, recognition, and identification performance? Second, how should these factors be simulated to provide enhanced realism in the JANUS (A) battlefield simulation system, specifically in the target acquisition phase of the JANUS (A) system? The approach taken was to survey subject matter experts, U.S. Army personnel familiar with target search and acquisition operations in real and simulated combat operations. Survey results were combined with previous research to model human factors effects on performance. A fuzzy logic model was implemented as a Common LISP computer program to show the feasibility and desirability of such a model for this type of human factors simulation. The results of this study include a set of human attributes and subfactors that affect target acquisition and that can be expanded as needed to model complex simulations of human battlefield performance. A working prototype fuzzy logic based program has been developed. The program provides an output that can be used for modifying the current JAN-US (A) battlefield simulator target acquisition threshold for greater realism. JANUS (A), Battle simulation, Target acquisition, Fuzzy logic, Human factors