Successively Approximating Human Performance

Abstract

This report discusses research issues identified by two National Research Council studies on human performance models and proposes a new approach to model development, called the method of successive approximation, to address these issues. Successive approximation is an incremental approach to human performance process model development. During each increment of development, a complete human performance model is built. Initial models, however, are limited in the behavior they can represent. Subsequent iterations of development extend the behavioral repertoire by increasing the resolution of the human performance model. In addition, the report discusses issues of psychological reality as they relate to human performance models.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1993
Accession Number
ADA272186

Entities

People

  • Michael J. Young

Organizations

  • Armstrong Laboratory

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Cognitive Workload
  • Computational Processes
  • Computational Science
  • Computer Architecture
  • Computer Programming
  • Computers
  • Human Factors Engineering
  • Information Processing
  • Information Systems
  • Object Oriented Programming
  • Programming Languages
  • Psychology
  • Software Development
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation
  • Systems Analysis and Design