Adaptive Computer Aiding in Dynamic Decision Processes: Methodology, Evaluation, and Applications

Abstract

This is the final report of a three year program directed toward the design and development of a decision support system for tactical operations. Termed ADDAM (Adaptive Dynamic Decision Aiding Methodology), the system uses adaptive models both to capture the decision maker's strategy and to suggest actions. The report presents theoretical and methodological reviews, as well as the results of the most recent experimental study. Earlier studies of ADDAM showed that it is capable of modeling and predicting decision behavior, and of improving decision consistency. The current study extends these findings by demonstrating that adaptive aiding can also improve external performance measures in a realistic task. The report discusses the practical application of adaptive decision modeling in providing a framework for decision analysis and feedback. The normative expected utility approach shows particular applicability in situations of high risk, complexity, and speed.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1976
Accession Number
ADA032796

Entities

People

  • Amos Freedy
  • Kent B. Davis
  • Michael G. Samet
  • Peter C. Gardiner
  • Randall Steeb

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Ground and Sea Platforms
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Applied Psychology
  • Artificial Intelligence
  • Bayesian Networks
  • Cognition
  • Computers
  • Decision Support Systems
  • Fixed Wing Aircraft
  • Human Behavior
  • Human Factors Engineering
  • Information Processing
  • Information Systems
  • Learning
  • Military Research
  • Operations Research
  • Pattern Recognition
  • Psychology
  • Remotely Piloted Vehicles

Readers

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