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Using existing HEI techniques to predict pilot error: a comparison of SHERPA, HAZOP and HEIST
Conference paper   Open access   Peer reviewed

Using existing HEI techniques to predict pilot error: a comparison of SHERPA, HAZOP and HEIST

Paul M Salmon, Neville A Stanton, M S Young, D Harris, J M Demagalski, Andrew Marshall, T Waldman and S Dekker
Proceedings of the 2002 International Conference on Human-Computer Interaction in Aeronautics, pp.126-130
International Conference on Human-Computer Interaction in Aeronautics (HCI-Aero), 2002 (Menlo Park, United States, 23-Oct-2002–25-Oct-2002)
AAAI Press
2002
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Abstract

Aerospace Engineering Psychology
At the moment, there appears to be no human error identification (HEI) techniques developed specifically for use in aviation. Similarly, there appears to be very little research concerning the prediction of pilot error in the cockpit. This paper investigates the potential use of existing HEI methods for predicting pilot error and describes a comparative study of three existing HEI techniques, SHERPA, HAZOP and HEIST when used to predict potential pilot error on an aviation landing task using the 'autoland' system. The study aims to demonstrate that existing HEI methods developed for use in highly complex systems, such as nuclear power plants and chemical processing plants, can be used effectively in an aviation context.

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