Virtual Battle Experiments to Investigate Coalition Data Sharing

Abstract

There is a supposition in net-centric warfare that the effectiveness of a coalition will increase with the amount of shared data. This supposition presumes that the shared data contributes positively to the situational awareness and effectiveness of the recipient platform. In the limiting cases, the resource cost to the recipient platform may exceed the potential value of the contributed information. In the ideal situation, shared data at appropriate levels of refinement improves the effectiveness of the entire command team. A series of Virtual Battle Experiments (VBEs) has been initiated with which to investigate the influence of sharing broadband passive sonar data and how this influence changes with the level at which the data is shared. The experiments use different operators in multiple sessions to make statistically relevant measurements. In the baseline experiment, VBE CA-1, the shared data was provided in a purely visual format. Operator effectiveness was evaluated by analyzing the speed and accuracy with which sonar track segments were manually associated. Also of interest in this experiment was the decision rationale that was used by the operators to associate or disassociate track segments. This paper summarizes the results of this trial and outlines our plans for extending these experiments.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2004
Accession Number
ADA466651

Entities

People

  • Garfield R. Mellema
  • Tania E. Wentzell

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Acoustic Emissions
  • Algorithms
  • Continuity
  • Emission
  • Infrastructure
  • Intensity
  • Measurement
  • Navigation
  • Passive Sonar
  • Platforms
  • Simulations
  • Situational Awareness
  • Sonar
  • Sound Pressure
  • Statistics
  • Towed Arrays
  • Triangulation

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.