Operator Workload as a Function of the System State: An Analysis Based Upon the Event-Related Brain Potential,

Abstract

While the processing demands of second order manual control are known to be greater than those of 1st or 0 order, the precise nature of locus of these increased demands is not well established. The purpose of this research is to determine if the demands are perceptual--related to the perception of higher derivatives of the error signal or characteristics of the system state, and thereby fluctuating with changes in these variables or central. In the latter case, we assume the demand to be constant over time, a consequence of the increased demands of activating a more complex internal model. Event-related brain potentials (ERP)-- more specifically, P300 amplitude -- were employed to assess operator workload while controlling a second order system. The ERP waveforms were categorized according to the system state at the time of the eliciting probes. Statistical analyses revealed no differences in P300 amplitude among the categories. Thus, it was concluded that the increased level of operator workload remained constant rather than fluctuating with changes in the system state. These results identify central processing rather than perception as the locus of higher order load.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1983
Accession Number
ADP001620

Entities

People

  • Christopher D Wickens
  • Richard T. Gill

Organizations

  • Wright State University

Tags

DTIC Thesaurus Topics

  • Amplitude
  • Behavior And Behavior Mechanisms
  • Behavioral Disciplines And Activities
  • Behavioral Sciences
  • Cognitive Workload
  • Cooperation
  • Human Factors Engineering
  • Illinois
  • Perception
  • Psychological Phenomena And Processes
  • Psychology
  • Social Psychology
  • Statistical Analysis
  • Waveforms
  • Workload

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Mathematical Modeling and Probability Theory.
  • Radar Systems Engineering.