Modeling the Combined Effects of Performance Shaping Factors on Performance: A Comparison of Two Different Techniques

Abstract

In an effort to develop computer-generated forces (CGFs) that behave more realistically, Micro Analysis and Design, in conjunction with the U.S. Army Research Institute, developed algorithms and data structures that allow human performance models to be affected by key features of training. As part of this effort, the effects of other performance shaping factors (PSFs) on human performance were also examined. An abundance of empirical data has been collected on the independent effects of several PSFs on human performance. However, very little empirical data has been collected on combined effects of multiple PSFs. Thus, developing models that accurately represent these effects is extremely difficult. Two different techniques were identified that represent the combined effects of PSFs. This report describes a study that examined performance in a simple movement-to-contact scenario within a human performance model. The effects of both heat and fatigue on performance were tested under varying levels using both of these techniques. Two important results were found. First, both techniques produced results with high face validity. Soldier performance was best when both PSFs were at low levels and worse when they were both at high levels. Low levels of one PSF combined with high levels of the other PSF produced results inbetween. Second, almost all of the results produced by the two techniques were not significantly different from each other.