Development of Neurophysiological and Behavioral Metrics of Human Performance.

Abstract

A program of research has been conducted to evaluate transient and steady-sate visual evoked response (ER) measures to determine their suitability as metrics for assessing performance (or workload). One of the major drawbacks of the ER is the necessity for creating the response by flashing lights (transient ER) or shifting patterns (steady-state ER) in the subject's visual field. One of the main goals of this program was to explore the production of ERs in ways which do not interfere with task displays or performance. A second major goal was to evaluate the ER as a tool for simultaneous measurement of multiple performance factors. This program produced several research directions which have important implications for the study of brain function and practical application of the ER as a performance measure. These directions include generation of steady-state activity with visual stimuli above 75 Hz, and the introduction of a concept of temporal tracking by the brain. Among the results of these studies are demonstrations of correlations between the steady-state ER and fatigue and psychological factors. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1980
Accession Number
ADA087840

Entities

People

  • Samuel L. Moise Jr.

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Energy and Power Technologies
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Biomedical Research
  • Cognition
  • Cognitive Workload
  • Computational Science
  • Data Analysis
  • Eye Movements
  • Frequency Bands
  • Human Behavior
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Light Sources
  • Psychology
  • Regression Analysis
  • Statistical Analysis
  • Steady State

Readers

  • Materials Science and Engineering.
  • Neuroscience
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.