Human Factors in Rule-Based Systems.

Abstract

This report summarizes several experiments investigating the impact of mental models and cognitive consistency on user/expert system interaction. Results indicate that user/expert system combined problem solving performance significantly improves if the user has a good mental model of expert system processes. Furthermore, 'cognitive consistency' between the user and system problem solving procedures only degrades performance in situations where users do not have a good mental model. Some practical implications of this research is discussed. Keywords: Man machine interface. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 14, 1985
Accession Number
ADA165309

Entities

People

  • Debra Zirk
  • Leonard Adelman
  • Paul E. Lehner
  • Richard B. Hall

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Applied Psychology
  • Artificial Intelligence
  • Biological Sciences
  • Computer Science
  • Engineering
  • Expert Systems
  • Human Factors Engineering
  • Human-Machine Interfaces
  • Information Science
  • Military Applications
  • Military Research
  • Psychology
  • Rule Based Systems
  • Students
  • Systems Engineering
  • Training

Fields of Study

  • Computer science

Readers

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