An Automated Task Load Indexing System

Abstract

The accelerating tempo of military operations increases the task demands and work-related stresses imposed on human operators. As new technological designs are incorporated into military systems, a metric is required to ensure that human cognitive work load limits are not exceeded. Subjective techniques are available, but generally depend on the self-report of users conducted after the work is finished. A need exists for objective method which can follow time-course changes as work is performed and to develop biocybernetic approaches to task allocation. Some progress has been achieved in using a variety of electrophysiological techniques, including EEG and neural- evoked potentials. However, these objective techniques tend to be intrusive, relatively artificial, and nonportable. We believe there are more readily obtainable bioelectric measures that can serve as simple external indicants of work load, and which can eventually be bundled in portable, vest-pocket systems to be employed during studies of cockpit display function allocation.

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Document Details

Document Type
Technical Report
Publication Date
Mar 08, 1991
Accession Number
ADA252354

Entities

People

  • James G. May
  • Marshal B. Jones
  • Martin G. Smith
  • Robert S. Kennedy
  • William P. Dunlap

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Applied Psychology
  • Brain
  • Cognition
  • Cognitive Workload
  • Computer Programs
  • Computers
  • Data Analysis
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Measurement
  • Motor Skills
  • Personal Computers
  • Psychology
  • Psychophysiology
  • Test And Evaluation

Readers

  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design
  • Vision Science/Vision Psychology/Cognitive Neuroscience.