In-Flight Assessment of Workload Using Instrument Scan

Abstract

During instrument flight, the pilot obtains information concerning aircraft state by cross-checking or scanning the flight instruments. The exact method of scanning the instrument panal varies from pilot to pilot but there are some basic features common to a good scan pattern. Indeed, it was early study by Fitts and his associates identifying the most common instrument transitions which led to the familiar T arrangement of the major flight instrument. The method discussed here may be considered a candidate for workload studies with piloting tasks which will invoke a regular visual scan (spatial/temporal pattern of eye movements) during instrument flight. When instrument scan is in use, it may be postulated that external factors such as noise, interruptions, fatigue, etc which interfere with the piloting task may produce measurable changes in the scanning behavior. Such measures would be particularly attractive for quantifying workload since they would be both non-invasive and objective. It is important to point out that instrument scan by itself is not a complete indicator of workload nor is task attention necessarily associated with where the pilot happens to be looking at a particular instant. However, whenever instrument scan is required in a piloting task, analysis of scanning behavior may yield important direct or indirect information concerning workload.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1987
Accession Number
ADP005636

Entities

People

  • J. R. Tole
  • R. L. Harris Sr

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Autocorrelation
  • Communication Systems
  • Cross Correlation
  • Dwell Time
  • Eye
  • Eye Movements
  • Flight
  • Flight Instruments
  • Histograms
  • Instrument Flight
  • Instrument Panels
  • Jet Transport Aircraft
  • Measurement
  • Oculometers
  • Probability
  • Radio Communications

Readers

  • Astronomy and Astrophysics.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computer Vision.