Task Network Modeling as a Basis for Analyzing Operator Workload

Abstract

This paper discusses a technique for predicting human workload which is based around task network modeling. Task network modeling allows task analyses to be simulated on a computer to study dynamic system behavior through the addition of information, primarily task time and sequencing. A technique was developed by McCracken and Aldrich (1984) and modified by Drews, Laughery, Kramme, and Archer (1985) which permits the inclusion of workload information into a task network model. From these workload models, one can make predictions about where points of excessive operator overload are likely to occur. However, the technique has undergone only limited empirical validation. In addition to presenting the basic technique, this paper will briefly describe a software tool for using the technique as well as the perceived theoretical shortcomings of the technique in its current form.