Mission control of multiple unmanned aerial vehicles: a workload analysis.

Abstract:

: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.

journal_name

Hum Factors

journal_title

Human factors

authors

Dixon SR,Wickens CD,Chang D

doi

10.1518/001872005774860005

keywords:

subject

Has Abstract

pub_date

2005-10-01 00:00:00

pages

479-87

issue

3

eissn

0018-7208

issn

1547-8181

journal_volume

47

pub_type

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