Unmanned aerial systems (UASs) often require multiple human operators fulfilling diverse roles for safe and correct operation. Reliably designing the human interaction, autonomy, and decision making aspects of these systems requires the use of modeling. We propose a conceptual model that models human machine interaction systems as a group of actors connected by a network of communication channels. We present a simulation framework implemented in Java, with an optional XML model parser that can be analyzed using the Java Pathfinder (JPF) model checker. We propose two human workload metrics based on a taxonomy extracted from the relevant literature. Using the simulator to produce a workload profile over time for each human actor, we conducted a case study by modeling a UAS integrated into the National Airspace System. Additionally we adapted an existing cognitive workload metric to act as a baseline. The results of this case study were consistent with known workload events and the results of our baseline metric.
College and Department
Physical and Mathematical Sciences; Computer Science
BYU ScholarsArchive Citation
Gledhill, Timothy J., "Measuring Human Workload in Unmanned Aerial Vehicles" (2014). Theses and Dissertations. 6106.
Human Workload, modeling language, Unmanned Aerial Vehicle, UAS, NAS, Resource Workload, Decision Workload, Adapted Wicken's Model