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Modeling Pilot Situation Awareness

  • Becky L. Hooey
  • Brian F. Gore
  • Christopher D. Wickens
  • Shelly Scott-Nash
  • Connie Socash
  • Ellen Salud
  • David C. Foyle
Conference paper

Abstract

Introduction

The Man–machine Integration Design and Analysis (MIDAS) human performance model was augmented to improve predictions of multi-operator situation awareness (SA). In MIDAS, the environment is defined by situation elements (SE) that are processed by the modeled operator via a series of sub-models including visual attention, perception, and memory. Collectively, these sub-models represent the situation assessment process and determine which SEs are attended to, and comprehended by, the modeled operator. SA is computed as a ratio of the Actual SA (the number of SEs that are detected or comprehended) to the Optimal SA (the number of SEs that are required or desired to complete the task).

Method

A high-fidelity application model of a two-pilot commercial crew during the approach phase of flight was generated to demonstrate and verify the SA model. Two flight deck display configurations, hypothesized to support pilot SA at differing levels, were modeled.

Results

The results presented include the ratio of actual to optimal SA for three high-level tasks: Aviate, Separate, and Navigate.

Conclusion

The model results verified that the SA model is sensitive to scenario characteristics including display configuration and pilot responsibilities.

Keywords

Situation awareness (SA) Human performance model Pilot model Man–machine integration design and analysis system (MIDAS) 

Notes

Acknowledgments

This research was funded by the National Aeronautics and Space Administration (NASA) Aviation Safety (AvSAFE) Program (Integrated Intelligent Flight Deck Technologies (IIFTD)/System Design & Analysis (SDA) project).

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Copyright information

© Springer-Verlag Italia Srl 2011

Authors and Affiliations

  • Becky L. Hooey
    • 1
  • Brian F. Gore
    • 1
  • Christopher D. Wickens
    • 2
  • Shelly Scott-Nash
    • 2
  • Connie Socash
    • 2
  • Ellen Salud
    • 1
  • David C. Foyle
    • 3
  1. 1.San Jose State University at NASA Ames Research CenterMoffett FieldUSA
  2. 2.Alion Science and TechnologyBoulderUSA
  3. 3.NASA Ames Research CenterMoffett FieldUSA

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