Evansville Vanderburgh Public Library

Workload, stress, and situation awareness of soldiers who are controlling unmanned vehicles in future urban operations, Bruce S. Sterling and Chuck H. Perala

Label
Workload, stress, and situation awareness of soldiers who are controlling unmanned vehicles in future urban operations, Bruce S. Sterling and Chuck H. Perala
Language
eng
Bibliography note
Includes bibliographical references (p. 15)
resource.governmentPublication
federal national government publication
Illustrations
illustrations
Index
no index present
Literary Form
non fiction
Main title
Workload, stress, and situation awareness of soldiers who are controlling unmanned vehicles in future urban operations
Nature of contents
dictionariestechnical reportsbibliography
Oclc number
227933254
Responsibility statement
Bruce S. Sterling and Chuck H. Perala
Series statement
ARL-TR, 4071
Summary
This research describes the workload, stress, and situation awareness of operators of robotic reconnaissance platforms who are conducting future full spectrum operations in an urban setting. The participants controlled unmanned aerial vehicles, unmanned ground vehicles, and unmanned ground sensors in a virtual reality simulation as part of a combined arms battalion using Future Combat Systems. Results suggested that robotic controllers supporting infantry units had higher workloads and stress than controllers supporting non-line-of-sight cannon units, mounted combat system units, or reconnaissance units, perhaps because infantry units are more vulnerable and require closer surveillance. Also, individuals controlling all three sensor types had higher workloads and stress than those controlling other combinations of assets. Human factors recommendations for the interface included an ability to automatically track a target, switch to teleoperation to make slight adjustments, an auto-scan function on the sensor, and the ability for the platform to automatically plot a route to a grid location. Some potential limitations of this study include the fact that the workload may have been affected by other factors such as experience or training; the robotic platforms may have been operated simultaneously or sequentially; and the interface used in this study may or may not mirror the (to be determined) future interfaces
Content
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