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Author:
Sterling, Bruce S.
Title:
Workload, stress, and situation awareness of soldiers who are controlling unmanned vehicles in future urban operations [electronic resource] / Bruce S. Sterling and Chuck H. Perala.
Format:
[electronic resource] /
Publisher:
Army Research Laboratory,
Copyright Date:
2007
Description:
1 online resource (vi, 26 p.) : ill. (some col.)
Subject:
United States.--Army--Personnel management
Human engineering
Vehicles, Remotely piloted
Weapons systems
Personnel Management and Labor Relations.
Stress (Physiology)
Army personnel.
Situational awareness
Simulation.
Infantry
Unmanned.
Virtual reality
Teleoperators.
Cities and towns
Reconnaissance.
Ground vehicles.
Human factors engineering.
Weapons systems
Other Authors:
Sterling, Bruce S.
Perala, Chuck H.
U.S. Army Research Laboratory
Notes:
Title from title screen (viewed Dec. 4, 2009). "April 2007." Includes bibliographical references (p. 15). The original document contains color images. APPROVED FOR PUBLIC RELEASE.
Scope Note:
Final; Sept. 2006 through Feb. 2007.
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.
Series:
ARL-TR ; 4071
OCLC:
(OCoLC)227933254
Locations:
USUX851 -- Iowa State University - Parks Library (Ames)

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