A Methodology for Predicting Pilot Workload

Abstract

This research is limited to the problem of assessing a pilot's workload while flying an aircraft. The intent is to develop and validate a mathematical model which predicts pilot workload. This effort will show the feasibility of such a model and show that the model's predictions relate reasonably well to measured workload levels. This study focuses on pilot workload in a single-seat, fighter aircraft. While the methods employed are generally applicable to other human-machine systems, it is not known is any derived conclusions can alos be applied to other systems. This research is unique in that it employs a model significantly different from other existing models. This model combines predictions from discrete-event simulation with subjective predictions, while other models generally rely on a single method. In addition, this model employs the structure of an existing measurement methodology to provide a framework for these predictions. This model may be useful in early aircraft design stages to assess the impact of a particular aircraft configuration on pilot workload. Keywords: Radar aided mission/aircrew capability exploration, Digital simulation, SWAT(Subjective Workload Assessment Techniques).

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1988
Accession Number
ADA197090

Entities

People

  • Thomas F. Schuppe

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Ground and Sea Platforms
  • Human Systems
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Aircraft Equipment
  • Aircrafts
  • Airframes
  • Computational Science
  • Computer Simulations
  • Databases
  • Fighter Aircraft
  • Flight Simulators
  • Human Systems Integration
  • Information Processing
  • Information Science
  • Mathematical Models
  • Measurement
  • Surveys
  • Systems Engineering

Fields of Study

  • Engineering

Readers

  • Aviation Science / Aeronautics.
  • Computational Modeling and Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.