Enhancing Coordination and Collaboration in Unmanned Air Vehicle (UAV) Crews

Abstract

This research tests the efficacy of instructions to increase collaboration and coordination among crew members of a UAV ground-control station. The performance of this research depended upon the development of a UAV synthetic task environment (BRUTE) which was accomplished by upgrading a research tool developed by AFRL. This effort resulted in development of a theoretical perspective of coordination and collaboration in teams as well as a general framework for understanding team interaction and performance in dynamic task environments. The research found limited effectiveness of coordination and collaboration instructions on synthetic crew performance or member situation awareness. The research for that spatial orientation predicted performance of the AVO and SO functions in a UAV, while no effect of personality factors was uncovered. This research effort also led to a conceptual advance in the prediction of unitary team performance from member individual difference scores. A novel finding from this research was that both independent and interdependent self-construal increased as a function of engaging in a series of missions as members of UAV operator teams.

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Document Details

Document Type
Technical Report
Publication Date
Oct 27, 2006
Accession Number
ADA460842

Entities

People

  • Verlin B. Hinsz

Organizations

  • North Dakota State University

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Environment
  • Ground Control Stations
  • Instructions
  • Orientation (Direction)
  • Personality
  • Psychological Phenomena And Processes
  • Psychology
  • Remotely Piloted Vehicles
  • Situational Awareness
  • Social Psychology
  • Teamwork
  • Unmanned
  • Unmanned Aerial Vehicles
  • Vehicles

Readers

  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction