Using SHERPA to predict design-induced error on the flight deck

D Harris; Neville A Stanton; Andrew Marshall; M S Young; J M Demagalski; Paul M Salmon

doi:10.1016/j.ast.2005.04.002

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Using SHERPA to predict design-induced error on the flight deck

Journal article

Open access

Peer reviewed

Using SHERPA to predict design-induced error on the flight deck

D Harris, Neville A Stanton, Andrew Marshall, M S Young, J M Demagalski and Paul M Salmon

Aerospace Science and Technology, Vol.9(6), pp.525-532

2005

DOI: https://doi.org/10.1016/j.ast.2005.04.002

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Abstract

Aerospace Engineering

Mechanical Engineering

design induced error

error prediction

flight deck design

reliability

validity

Human factors certification criteria are being developed for large civil aircraft. The objective is to reduce the incidence of design-induced error on the flight deck. Many formal error identification techniques currently exist, however none of these have been validated for their use in an aviation context. This paper evaluates SHERPA (Systematic Human Error Reduction and Prediction Approach) as a means for predicting design-induced pilot error. Since SHERPA was developed for predicting human error in the petrochemical and nuclear industries, a series of validation studies have suggested that it is amongst the best human error prediction tools available. This study provides some evidence for the reliability and validity of SHERPA in a flight deck context and concludes that it may form the basis for a successful human error identification tool.

Details

Title: Using SHERPA to predict design-induced error on the flight deck
Authors: D Harris (Author) - Cranfield University, United Kingdom
Neville A Stanton (Author) - Brunel University, United Kingdom
Andrew Marshall (Author) - Marshall Ergonomics Ltd.
M S Young (Author) - Brunel University, United Kingdom
J M Demagalski (Author) - Cranfield University, United Kingdom
Paul M Salmon (Author) - Brunel University, United Kingdom
Publication details: Aerospace Science and Technology, Vol.9(6), pp.525-532
Publisher: Elsevier Masson
Date published: 2005
DOI: 10.1016/j.ast.2005.04.002
ISSN: 1270-9638; 1270-9638
Organisation Unit: Centre for Human Factors and Systems Science; University of the Sunshine Coast, Queensland; School of Law and Society
Language: English
Record Identifier: 99450264602621
Output Type: Journal article
Research Statement: false

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Collaboration types: Domestic collaboration
Web Of Science research areas: Engineering, Aerospace

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