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Human Factors: The Journal of the Human Factors and Ergonomics Society
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Mission Control of Multiple Unmanned Aerial Vehicles: A Workload Analysis

Stephen R. Dixon

University of Illinois, Savoy, Illinois

Christopher D. Wickens

University of Illinois, Savoy, Illinois

Dervon Chang

University of Illinois, Savoy, Illinois

With unmanned aerial vehicles (UAVs), 36 licensed pilots flew both single-UAV and dual-UAV simulated military missions. Pilots were required to navigate each UAV through a series of mission legs in one of the following three conditions: a baseline condition, an auditory autoalert condition, and an autopilot condition. Pilots were responsible for (a) mission completion, (b) target search, and (c) systems monitoring. Results revealed that both the autoalert and the autopilot automation improved overall performance by reducing task interference and alleviating workload. The autoalert system benefited performance both in the automated task and mission completion task, whereas the autopilot system benefited performance in the automated task, the mission completion task, and the target search task. Practical implications for the study include the suggestion that reliable automation can help alleviate task interference and reduce workload, thereby allowing pilots to better handle concurrent tasks during single- and multiple-UAV flight control.

Human Factors: The Journal of the Human Factors and Ergonomics Society, Vol. 47, No. 3, 479-487 (2005)
DOI: 10.1518/001872005774860005
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