A Model of Human Problem Solving in Dynamic Environments.

Abstract

The increased use of automation in aircraft, ships, process plants, transportation networks, and other large-scale systems is changing the human's role in such systems. The manual activities of the human operator are increasingly supplanted by monitoring of automation and occasional problem solving activities. This thesis focuses on these problem solving activities. Models of human problem solving are reviewed, with emphasis on those applicable to situations involving human-machine interaction in detecting, diagnosing, and compensation for system failures. From this review it emerges that most models developed thus far focus on a single aspect of problem solving. An overall model is presented, which considers the full breadth and robustness of human problem solving behavior in dynamic environments. A realization of the general structure of this model within a particular rule-based computer program is discussed. Results are presented from applying this program to modeling human problem solving in a process control task. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1983
Accession Number
ADA140862

Entities

People

  • A. E. Knaeuper

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Cognitive Science
  • Computer Programs
  • Computers
  • Control Systems
  • Damage Detection
  • Detection
  • Engineering
  • Human Behavior
  • Human-Machine Interaction
  • Human-Machine Systems
  • Industrial Engineering
  • New York
  • Pattern Recognition
  • Recognition
  • Systems Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Instructional Design and Training Evaluation.
  • Strategic Security Studies