A STRUCTURE OF MAN-MACHINE DIAGNOSTIC INFORMATION SYSTEMS: IMPLICATIONS FOR HUMAN ENGINEERING RESEARCH AND DESIGN.

Abstract

A conceptual framework for describing and analyzing man-machine diagnostic systems (e.g., maintenance and check-out, command and control systems) is suggested. Emphasis is placed on 'information,' its nature and its flow within such systems. The more prominent variables affecting diagnostic processes and performance (i.e, inferential decision-making) and their topological interrelationships are described. A graphic representation of the processes involved in these systems is provided in terms of a generalized flow diagram. Information parameters are critical in determining the quality of diagnostic performance in man-machine diagnostic systems. It is concluded that research concerning the relationships between information parameters and diagnostic performance, as well as the more traditional (i.e., display/control) research, is required to develop human engineering criteria applicable to the design of diagnostic systems. Several examples of relevant human engineering research problems are discussed. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1968
Accession Number
AD0689766

Entities

People

  • Robert G. Mills

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Command And Control
  • Command And Control Systems
  • Control Systems
  • Engineering
  • Human Factors Engineering
  • Information Systems
  • Interdisciplinary Science
  • Maintenance
  • Systems Engineering
  • Systems Science

Readers

  • Artificial Intelligence
  • Instructional Design and Training Evaluation.
  • Software Engineering

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control