A Formal Model of the Adaptive and Discrete Control Behaviors of Human Operators.

Abstract

The focus of manual control research and the methods used for modelling and theorizing about manual control task performance are briefly reviewed. It is concluded that manual control research activities have been overwhelmingly concerned with constructing human operator transfer functions for simple tracking tasks. It is also concluded that the mathematical methods used in this type of research (typically difference or differential equations and their corresponding transfer function representations) constrain rather tightly the type of theories which can result. Further, generalization of these engineering theories beyond tracking is essentially impossible. It is argued, however, that control oriented concepts can be utilized to guide research on human adaptive, supervisory and co-ordinative control activities. A meta-theoretic analysis of control problems is made to identify the types of objects and relations which must be addressed in any theory of manual adaptive control. A new formulation of adaptive control problems is then derived. From the problem description, the type of objects upon which any representation of the adaptor (the system which accomplishes adaptation) are determined. Following in part work by Gaines, the adaptor is defined in terms of behaviors on a sequence of tasks.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1978
Accession Number
ADA059039

Entities

People

  • Richard A. Miller

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Adaptive Control Systems
  • Adaptive Systems
  • Artificial Intelligence
  • Automata Theory
  • Control Systems
  • Control Systems Engineering
  • Control Theory
  • Engineering
  • Engineers
  • Human Factors Engineering
  • Human-Machine Systems
  • Information Processing
  • Motor Skills
  • Psychology
  • Servomechanisms
  • Systems Engineering
  • Task Performance And Analysis

Readers

  • Artificial Intelligence
  • Control Systems Engineering.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.