Multi-Dimensional Human Workload Assessment for Supervisory Human–Machine Teams

Humans commanding and monitoring robots’ actions are used in various high-stress environments, such as the Predator or MQ-9 Reaper remotely piloted unmanned aerial vehicles. The presence of stress and potential costly mistakes in these environments places considerable demands and workload on the human supervisors, which can reduce task performance. Performance may be augmented by implementing an adaptive workload human–machine teaming system...