The University of Southampton
University of Southampton Institutional Repository

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

Using existing HEI techniques to predict pilot error: a comparison of SHERPA, HAZOP and HEIST
Using existing HEI techniques to predict pilot error: a comparison of SHERPA, HAZOP and HEIST
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.
AAAI Press
Salmon, Paul
5052099b-62f2-425c-9e02-566c02423d66
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Young, Mark S.
3f79589e-2000-4cb0-832a-6eba54f50130
Harris, Don
8e56a447-c87f-4b14-8b2c-d217d62f1382
Demagalski, Jason
0d0f4b9f-5af8-479d-90e1-ecc8039f5a7f
Marshall, Andrew
5014c604-6673-4691-adc6-68b5ffc94e47
Waldmann, Thomas
3d3c029a-2bdb-4f19-9880-16ab0fcb8778
Dekker, Sidney
de2e111d-ef1b-4c88-9d5f-884b88b98c32
Chatty, S.
Hansman, J.
Boys, G.
Salmon, Paul
5052099b-62f2-425c-9e02-566c02423d66
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Young, Mark S.
3f79589e-2000-4cb0-832a-6eba54f50130
Harris, Don
8e56a447-c87f-4b14-8b2c-d217d62f1382
Demagalski, Jason
0d0f4b9f-5af8-479d-90e1-ecc8039f5a7f
Marshall, Andrew
5014c604-6673-4691-adc6-68b5ffc94e47
Waldmann, Thomas
3d3c029a-2bdb-4f19-9880-16ab0fcb8778
Dekker, Sidney
de2e111d-ef1b-4c88-9d5f-884b88b98c32
Chatty, S.
Hansman, J.
Boys, G.

Salmon, Paul, Stanton, Neville A., Young, Mark S., Harris, Don, Demagalski, Jason, Marshall, Andrew, Waldmann, Thomas and Dekker, Sidney (2002) Using existing HEI techniques to predict pilot error: a comparison of SHERPA, HAZOP and HEIST. Chatty, S., Hansman, J. and Boys, G. (eds.) In HCI-Aero 2002: Proceedings of the International Conference on Human-Computer Interaction in Aeronautics/Book One. AAAI Press. 5 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

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.

Text
__soton.ac.uk_ude_personalfiles_users_jr1d11_mydesktop_ePrints_Using existing HEI techniques to predict pilot error.pdf - Version of Record
Restricted to Repository staff only
Request a copy

More information

Published date: September 2002
Organisations: Transportation Group

Identifiers

Local EPrints ID: 371893
URI: http://eprints.soton.ac.uk/id/eprint/371893
PURE UUID: 4cd1cf5c-a66a-4505-81e4-681c3ba96520
ORCID for Neville A. Stanton: ORCID iD orcid.org/0000-0002-8562-3279
ORCID for Mark S. Young: ORCID iD orcid.org/0009-0001-2594-453X

Catalogue record

Date deposited: 01 Dec 2014 08:56
Last modified: 18 Mar 2024 03:13

Export record

Contributors

Author: Paul Salmon
Author: Mark S. Young ORCID iD
Author: Don Harris
Author: Jason Demagalski
Author: Andrew Marshall
Author: Thomas Waldmann
Author: Sidney Dekker
Editor: S. Chatty
Editor: J. Hansman
Editor: G. Boys

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×