Development and Utilization of Internal Models in Dynamic Systems. A Comparison of Monitors and Operators as Failure Detectors

Abstract

The development of the internal model as it pertains to the detection of step changes in the order of control dynamics is investigated for two modes of participation: when the subjects are actively controlling those dynamics and when they are monitoring the same dynamics under autopilot control. The experiment used a transfer of training design to evaluate the relative contribution of proprioception and visual information to the overall accuracy of the internal model. The subjects either tracked or monitored the system dynamics of a 2-dimensional pursuit display under single task conditions and concurrently with a sub-critical tracking task at two difficulty levels. Detection performance was faster and more accurate in the manual as opposed to the autopilot mode. The cue utilization strategies of the subjects were analyzed by ensemble averaging technique and it was found that monitors of automatic systems who have had prior manual experience rely upon different perceptual cues in making their detection responses than those who have not. The proprioception channel was found to have an attention focusing role and once incorporated into the internal model this attention focusing mechanism can be used to advantage even then there is no proprioceptive feedback.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADA069730

Entities

People

  • Christopher Dow Wickens
  • Colin Kessel

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Control Sticks
  • Control Systems
  • Damage Detection
  • Detection
  • Detectors
  • Experimental Design
  • False Alarms
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Motor Skills
  • New York
  • Psychology
  • Regression Analysis
  • Reliability
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Robotics and Automation.
  • Systems Analysis and Design