ABSTRACT
Over the last decade a number of methods for empirically assessing individual and team situation awareness in simulator and operational environments have been developed and applied. The Situation Awareness Global Assessment Technique (SAGAT) has been used across a number of operational contexts for empirically assessing situation awareness. The results of these applications have shown that SAGAT is both theoretically sound and provides a valid method for assessing situation awareness. During the same period, simulation models of human performance for assessing and predicting individual and team performance times, accuracies, and workload were also developed and applied across a wide variety of contexts. In particular, several efforts have demonstrated the predictive validity of task network models of human performance. Measures of situation awareness have only recently begun to be incorporated into these types of human performance models. In this paper, we describe a method for incorporating the SAGAT scoring system into task network models of human performance. In addition, we provide a discussion of the benefits of exploring the dynamics of the situation awareness measures through the exercising of the human performance models.
