Predicting pilot error: assessing the performance of SHERPA
Predicting pilot error: assessing the performance of SHERPA
This paper introduces SHERPA (Systematic Human Error Reduction and Prediction Approach) as a means for predicting pilot error. SHERPA was initially developed for predicting human error in the nuclear industry about 15 years ago. Since that time validation studies to support the continued use of SHERPA have been encouraging. Most research shows that SHERPA is amongst the best human error prediction tools available. Yet there is little research in the open literature of error prediction for cockpit tasks. This study attempts to provide some evidence for the reliability and validity of SHERPA in aviation domain
47-51
Stanton, Neville A.
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Young, Mark S.
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Salmon, Paul
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Marshall, Andrew
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Waldman, Thomas
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Dekker, Sidney
de2e111d-ef1b-4c88-9d5f-884b88b98c32
2002
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Young, Mark S.
f7204378-f076-4b00-a9ae-edc94695abb7
Salmon, Paul
5398e747-09a5-47c2-9982-2906880c64c6
Marshall, Andrew
86b0a2fe-925e-47d4-99d3-5f23163bcb1e
Waldman, Thomas
84a5ec3d-92cf-4e6b-8ed1-a39eeef2eab8
Dekker, Sidney
de2e111d-ef1b-4c88-9d5f-884b88b98c32
Stanton, Neville A., Young, Mark S., Salmon, Paul, Marshall, Andrew, Waldman, Thomas and Dekker, Sidney
(2002)
Predicting pilot error: assessing the performance of SHERPA.
Human Decision Making and Control, .
Abstract
This paper introduces SHERPA (Systematic Human Error Reduction and Prediction Approach) as a means for predicting pilot error. SHERPA was initially developed for predicting human error in the nuclear industry about 15 years ago. Since that time validation studies to support the continued use of SHERPA have been encouraging. Most research shows that SHERPA is amongst the best human error prediction tools available. Yet there is little research in the open literature of error prediction for cockpit tasks. This study attempts to provide some evidence for the reliability and validity of SHERPA in aviation domain
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Published date: 2002
Organisations:
Transportation Group
Identifiers
Local EPrints ID: 370569
URI: http://eprints.soton.ac.uk/id/eprint/370569
PURE UUID: fbc881a8-0676-490f-9b48-ffb8fc772627
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Date deposited: 31 Oct 2014 11:30
Last modified: 15 Mar 2024 03:33
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Contributors
Author:
Mark S. Young
Author:
Paul Salmon
Author:
Andrew Marshall
Author:
Thomas Waldman
Author:
Sidney Dekker
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