Workload, Stress, and Situation Awareness of Soldiers Who are Controlling Unmanned Vehicles in Future Urban Operations

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2007
Accession Number
ADA466480

Entities

People

  • Bruce S. Sterling
  • Chuck H. Perala

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Aircrafts
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Combat Operations
  • Ground Vehicles
  • Human-Computer Interaction
  • Simulations
  • Situational Awareness
  • Teleoperation
  • Training
  • Unmanned Aerial Vehicles
  • Unmanned Ground Systems
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles
  • Virtual Reality
  • Warfare

Readers

  • Military Training and Readiness Simulation
  • Systems Analysis and Design
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - UAVs