Human Problem Solving in Complex Dynamic Environments

Abstract

This research note summarizes three years of a four year contract to study ways of improving human performance in highly integrated systems in such areas as communications, transportation, manufacturing, etc. Rule-based computer models of human performance (CAIN) are discussed, as are methods form measuring the complexity of the task of monitoring these large-scale systems. Finally, the development of a computer model (MABEL) which requires subjects to monitor a large-scale communications network is described. Keywords: Man machine systems; CAIN(Contextually Augmented Integrated Network); MABEL(Monitoring Accessing Browsing and Evaluating Limits).

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA190788

Entities

People

  • Richard L. Henneman
  • William B. Rouse

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Cognition
  • Complex Systems
  • Control Systems
  • Detection
  • Engineering
  • Engineers
  • Information Processing
  • Mathematical Models
  • Monitoring
  • Motor Skills
  • Psychology
  • Reliability
  • Resource Management
  • Social Sciences
  • Systems Engineering
  • Time Series Analysis

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Database Systems and Applications
  • Software Engineering