Supporting Courses of Action Planning with Intelligent Management of Battle Assets

Abstract

A battle space contains information that is dynamic, unstructured, uncertain, and temporal. The commander must use this information to plan, analyze, and decide on the best strategy to defeat the enemy. Such information must be context-specific and content-sensitive to changes in the battle space. Typically, the commander must integrate information from various sources (terrain, weather, resources, equipment, personnel, and mission definition) to develop courses of action and executable operation order. A typical collection asset decision aid will be useful to the commander in planning for resource management, courses of action (COA) analysis, logistics, and sample profiles on the order of battle operation. This paper describes an analytical decision aid for supporting the commander's courses of action planning and analysis based on battle asset information. The METT-T (Mission, Enemy, Troops, Terrain, and Time) paradigm is the main knowledge that drives the Alternative Courses of Action Display (ACAD) software. Usability test of the ACAD shows its utility to expert and novice battle planners have favorable impression and acceptable trust metric scores

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2003
Accession Number
ADA469473

Entities

People

  • Celestine A. Ntuen
  • Eui H. Park

Organizations

  • North Carolina Agricultural and Technical State University

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Basic Programming Language
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Command And Control
  • Computer Programs
  • Computers
  • Databases
  • Graphical User Interface
  • Information Processing
  • Information Science
  • Information Systems
  • Operations Research
  • Reliability
  • Systems Engineering
  • War Games
  • Warfare

Readers

  • Military History / Militaries and War Studies
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Space