Human performance modeling in system of systems analytics

Abstract

The Department of Defense has identified that integrating the human element into large scale System of Systems (SoS) models is a significant challenge that remains unaddressed. Failure in doing so leads to significant limitations in our SoS analytical capabilities as human performance is a large contributor to the performance of a SoS. The primary challenge is that, in most SoS domains, the problems being analyzed are large in scale. Conversely, most Human Performance Modeling (HPM) initiatives look at integrating detailed cognitive models that capture fine grained details of human perception, decision making, and response with detailed systems models and simulations (e.g., Lebiere et al., 2003). It is not feasible to integrate such fine grained cognitive models with systems models and perform SoS scale analysis. This paper documents a capability that integrates HPM into a large scale SoS simulation toolset and demonstrates the utility of the toolset.