Supervisory Control, Mental Models and Decision Aids.

Abstract

This paper poses a framework for considering human supervisory control of semi-automatic systems. It analyzes supervisory control into specific human functions and gives examples of research that have been done and/or are needed with respect ot each of these functions. For each such function it is argued that the human supervisory operator necessarily has a corresponding mental model, and potentially can have a computer-based decision aid. The relation of the proposed framework to the canonical modern control paradigm is also discussed, as are the reasonable limitations of our ability to model such a complex human machine interaction which itself exercises a high degree of free choice. Three accompanying papers offer detailed contributions to three of the supervisory functions (and corresponding decision aids) which heretofore have been neglected, namely: (1) formation of objectives by satisficing; (2) acquisition, calibration and combination of measures of process state; and (3) estimation of process state from current measure and past control actions. Keywords: Human computer interaction.

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Document Details

Document Type
Technical Report
Publication Date
Jul 31, 1986
Accession Number
ADA174727

Entities

People

  • James B. Roseborough
  • Leonid Charny
  • Max B. Mendel
  • Thomas B. Sheridan

Organizations

  • Massachusetts Institute of Technology

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  • Autonomy
  • Human Systems
  • Materials and Manufacturing Processes
  • Space

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  • Artificial Intelligence
  • Cognitive Systems Engineering
  • Computer Programs
  • Computer Science
  • Computers
  • Control Systems
  • Control Systems Engineering
  • Engineering
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  • Human Factors Engineering
  • Human-Machine Systems
  • Language
  • Mechanical Engineering
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  • Operations Research
  • Psychology
  • Training

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  • Instructional Design and Training Evaluation.
  • Robotics and Automation.
  • Theoretical Analysis.