MicroSAINT Model of Fatigue Assessment

Abstract

There are more opportunities for fatigue related accidents when long or unusual duty cycles must be maintained. A means to plan for the likelihood of fatigue is described in this report. An equation was developed from results obtained in a 30-hour sleep deprivation study. These data were mathematically modelled and incorporated into the equation which also considers circadian variation in performance. A MicroSAINT model of a complex human task, the commit action of a weapons director aboard an AWAC aircraft, was developed to estimate the consequences of fatigue. Strong linear trends existed in the data so linear regression techniques were used. Significant amounts of the variance were accounted for by the equation for both accuracy and response time variables. A 36-hour sleep deprivation study was conducted to verify the model. The predicted performance trough was earlier but about the same magnitude as that observed. The approach outlined here seems reasonable for designing an equation to incorporate fatigue into computer models of complex behavior. Refinement of the model is needed using longer sleep deprivation periods that extend farther into the circadian cycle. Curvilinear data modelling techniques also are needed to account for more of the circadian rhythmicity.

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Document Details

Document Type
Technical Report
Publication Date
May 29, 1993
Accession Number
ADA284837

Entities

People

  • Jonathan French
  • Samuel G. Schiflett

Organizations

  • Armstrong Laboratory

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Airborne Warning And Control System
  • Alcohols
  • Anticoagulants
  • Chemistry
  • Cognition
  • Computer Simulations
  • Computers
  • Materials
  • Mathematical Models
  • Models
  • Motor Skills
  • Personnel Management
  • Reaction Time
  • Regression Analysis
  • Simulations
  • Sleep Deprivation
  • Standards

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Computational Modeling and Simulation