Human Problem Solving in Dynamic Environments. Understanding and Supporting Operators in Large-Scale, Complex Systems

Abstract

This research note seeks an empirical understanding of the relationship between the physical characteristics of a large-scale system and human performance, and formalizing these empirical results into several measures of large scale complexity. Behavioral computer models of the human operator in a large-scale environment were then constructed, and the models were found consistent with human behavior. This approach showed subtle performance improvement for aided subjects. Keywords: Man-machine, Computer models, Human performance, Communication networks.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1987
Accession Number
ADA189539

Entities

People

  • Richard L. Henneman
  • William B. Rouse

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Automation
  • Cognition
  • Cognitive Workload
  • Communication Networks
  • Complex Systems
  • Computers
  • Control Systems
  • Damage Detection
  • Engineering
  • Human Behavior
  • Human-Machine Systems
  • Information Processing
  • Monitoring
  • Pattern Recognition
  • Recognition
  • Reliability
  • Systems Science

Readers

  • Artificial Intelligence
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience