ABSTRACT
This chapter introduces a new discrete-event simulation (DES) approach to human performance modeling that includes a quantitative relationship between workload and performance. To achieve the vision of Network Centric Operations, the Department of Defense will increasingly need to rely upon the concept of supervisory control, which is when an operator intermittently interacts with a computer that closes an autonomous control loop. Without the workload-performance curve, the DES model tended to over-predict performance for the 4, 6 and 8-vehicle conditions and under-predict for the 2-vehicle condition. The workload-performance model was a parabolic curve that penalized operators by essentially adding delay time to their interactions, based on the utilization measure. Using the distributions of arrival rates and service times generated from the data in the experiment, 10,000 trials were conducted with the DES, in order to compare the results with the human-in-the-loop experiment.
