Tactical Decision Making under Categorical Uncertainty with Applications to Modeling and Simulation

Abstract

The Network Centric Warfare approach to command and control emphasizes decentralized decision making. Consequently, decision makers must comprehend and evaluate information to determine the optimal course of action. This study examines how different categories of uncertainty (ambiguous/missing, conflicting, baseline) and individual differences affect response time in decision-making tasks. The researchers elicited real-world tactical scenarios from veterans of Operation Enduring Freedom and Operation Iraqi Freedom in which uncertainty was present. Nine scenarios were given to 28 participants at the Command General Staff College, Fort Leavenworth, Kansas. The participants were asked to make a decision; their responses were recorded and analyzed. The results indicate that category of uncertainty and scenario difficulty are significant factors in determining response time. No individual difference factors were found to be significant. These findings have the potential to improve human behavior modeling, tactical simulations, and representations of complex task environments.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2008
Accession Number
ADA493954

Entities

People

  • Kacey E. Kemmerer

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I
  • Counter WMD
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Cognition
  • Command And Control
  • Demography
  • Human Behavior
  • Human Factors Engineering
  • Human Systems Integration
  • Information Processing
  • Information Science
  • Military History
  • Military Operations
  • Military Science
  • National Security
  • Psychology
  • Reliability
  • Students
  • Warfare

Readers

  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control