Human Error Research and Analysis Program, Summary and Final Report. Data Handling and Fatigue Studies.

Abstract

Because of the high ratio of human error induced to total Naval aviation accidents the U.S. Naval Safety Center, Norfolk, Virginia, in 1965 funded the first of four contracts to study 'human error' under the heading Human Error Research and Analysis Program (HERAP). Data analysts have developed a data bank for records of 17,000 Navy pilots (personal data, training records and individual flight time) and accident data. Statistical techniques were applied to the data in an attempt to find predictive measures for human error accidents. Some success was achieved. Two studies were conducted to provide additional insight into the recognition, measurement, prediction and alleviation of fatigue when defined as 'The degradation in performance or affective state, resulting from previous work.' In the first study two-man crews were monitored continuously for two weeks during high and low work periods in an ASW S-2 simulator. Some indicators were found but longer work periods were needed to insure fatigue. In the second study two-man crews were run through 24 hour cycles of high and low work loads of up to 18 hours duration. Performance decrement was obtained and one measure was sensitive to fatigue.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1970
Accession Number
AD0869266

Entities

People

  • Douglas E. Wheeler
  • Jack A. Baldwin
  • John S. Tarr
  • Lyle R. Creamer
  • Richard F. Gabriel

Organizations

  • Douglas

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Accidents
  • Aircrafts
  • Aviation Accidents
  • Cognitive Workload
  • Computers
  • Data Analysis
  • Data Science
  • Information Processing
  • Information Science
  • Measurement
  • Medical Personnel
  • Naval Aviation
  • Psychology
  • Regression Analysis
  • Reliability
  • Task Performance And Analysis
  • Warfare

Readers

  • Aviation Safety Risk Assessment.
  • Aviation Science / Aeronautics.
  • Computational Modeling and Simulation