Predicting pilot error: Testing a new methodology and a multi-methods and analysts approach
(2009) In Applied Ergonomics 40(3). p.464-471- Abstract
- The Human Error Template (HET) is a recently developed methodology for predicting design-induced pilot error. This article describes a validation study undertaken to compare the performance of HET against three contemporary Human Error Identification (HEI) approaches when used to predict pilot errors for an approach and landing task and also to compare analyst error predictions to an approach to enhancing error prediction sensitivity: the multiple analysts and methods approach, whereby multiple analyst predictions using a range of HEI techniques are pooled. The findings indicate that, of the four methodologies used in isolation, analysts using the HET methodology offered the most accurate error predictions, and also that the multiple... (More)
- The Human Error Template (HET) is a recently developed methodology for predicting design-induced pilot error. This article describes a validation study undertaken to compare the performance of HET against three contemporary Human Error Identification (HEI) approaches when used to predict pilot errors for an approach and landing task and also to compare analyst error predictions to an approach to enhancing error prediction sensitivity: the multiple analysts and methods approach, whereby multiple analyst predictions using a range of HEI techniques are pooled. The findings indicate that, of the four methodologies used in isolation, analysts using the HET methodology offered the most accurate error predictions, and also that the multiple analysts and methods approach was more successful overall in terms of error prediction sensitivity than the three other methods but not the HET approach. The results suggest that when predicting design-induced error, it is appropriate to use a toolkit of different HEI approaches and multiple analysts in order to heighten error prediction sensitivity. (c) 2008 Elsevier Ltd. All rights reserved. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1401965
- author
- Stanton, Neville A. ; Salmon, Paul ; Harris, Don ; Marshall, Andrew ; Demagalski, Jason ; Young, Mark S. ; Waldmann, Thomas and Dekker, Sidney LU
- organization
- publishing date
- 2009
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- and validity, Reliability, Error prediction, Human error, Human Error Identification
- in
- Applied Ergonomics
- volume
- 40
- issue
- 3
- pages
- 464 - 471
- publisher
- Elsevier
- external identifiers
-
- wos:000264453900020
- scopus:60149109927
- pmid:19041088
- ISSN
- 1872-9126
- DOI
- 10.1016/j.apergo.2008.10.005
- language
- English
- LU publication?
- yes
- id
- 66fdc1fa-3018-4ad6-ac83-bc983e521619 (old id 1401965)
- date added to LUP
- 2016-04-01 13:07:49
- date last changed
- 2022-01-27 17:28:45
@article{66fdc1fa-3018-4ad6-ac83-bc983e521619, abstract = {{The Human Error Template (HET) is a recently developed methodology for predicting design-induced pilot error. This article describes a validation study undertaken to compare the performance of HET against three contemporary Human Error Identification (HEI) approaches when used to predict pilot errors for an approach and landing task and also to compare analyst error predictions to an approach to enhancing error prediction sensitivity: the multiple analysts and methods approach, whereby multiple analyst predictions using a range of HEI techniques are pooled. The findings indicate that, of the four methodologies used in isolation, analysts using the HET methodology offered the most accurate error predictions, and also that the multiple analysts and methods approach was more successful overall in terms of error prediction sensitivity than the three other methods but not the HET approach. The results suggest that when predicting design-induced error, it is appropriate to use a toolkit of different HEI approaches and multiple analysts in order to heighten error prediction sensitivity. (c) 2008 Elsevier Ltd. All rights reserved.}}, author = {{Stanton, Neville A. and Salmon, Paul and Harris, Don and Marshall, Andrew and Demagalski, Jason and Young, Mark S. and Waldmann, Thomas and Dekker, Sidney}}, issn = {{1872-9126}}, keywords = {{and validity; Reliability; Error prediction; Human error; Human Error Identification}}, language = {{eng}}, number = {{3}}, pages = {{464--471}}, publisher = {{Elsevier}}, series = {{Applied Ergonomics}}, title = {{Predicting pilot error: Testing a new methodology and a multi-methods and analysts approach}}, url = {{http://dx.doi.org/10.1016/j.apergo.2008.10.005}}, doi = {{10.1016/j.apergo.2008.10.005}}, volume = {{40}}, year = {{2009}}, }