Comparing Manual and Cooperative Control Mission Management Methods for Wide Area Search Munitions

Abstract

Wide Area Search Munitions (WASMs) combine the attributes of unmanned aerial vehicles with those of traditional munitions. The WASM concept envisions artificially intelligent munitions that communicate and coordinate with one another and with human operators to effectively to perform their tasks. This study examined target acquisition for unaided operators with that of an automated cooperative controller for a complex task involving the prosecution of ground-based targets. Participants completed nine trials for each control mode (manual and cooperative) by number of WASMs (4, 8, or 16) combination. Target hit rate was not affected by control mode or number of WASMs; however, target acquisition efficiency degraded under manual control and as the number of WASMs increased. Workload was greater for the manual mode and increased as the number of WASMs increased. Self-ratings of the ability to perform a simultaneous attack were lower for the manual mode and decreased as the number of WASMs increased.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2009
Accession Number
ADA519651

Entities

People

  • John K. O'neal
  • Justin R Estepp
  • Lamar Warfield
  • Michael Patzek
  • Thomas R. Carretta

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Autonomous Systems
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Computers
  • Control Systems
  • Cooperative Control
  • Human Factors Engineering
  • Information Science
  • Situational Awareness
  • Supervisory Control
  • Target Acquisition
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Readers

  • Instructional Design and Training Evaluation.
  • Sensor Fusion and Tracking Systems.

Technology Areas

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