Predictive mental workload modeling for semiautonomous system design: Implications for systems of systems

Abstract

Abstract Predictive mental workload modeling is one established tool within the broad systems engineering activity of Human Systems Integration (HSI). Using system architecture as the foundation, this paper explores the use of Multiple Resource Theory to create representative workload models for evaluating operational system‐of‐systems (SoS) concepts. Through careful consideration of task demands, conflict generated between tasks, and workload mitigation strategies, informed design decision can improve overall human‐system performance. An example involving a single pilot controlling multiple remotely piloted aircraft (RPA) is presented to illustrate the use of workload modeling. Several observations are made that drive measurably excessive workload: multitasking, communications, continuously updating situational awareness and mission planning. In addition, three metrics are proposed for incorporating human workload analysis during system design. This technique has applicability across a wide range systems‐of‐systems and operational concepts involving complex human‐system interactions. © 2012 Wiley Periodicals, Inc. Syst Eng 15