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dc.contributor.authorStanton, Neville A
dc.contributor.authorSalmon, Paul
dc.contributor.authorHarris, Don
dc.contributor.authorMarshall, Andrew
dc.contributor.authorDemagalski, Jason
dc.contributor.authorYoung, Mark S
dc.contributor.authorWaldmann, Thomas
dc.contributor.authorDekker, Sidney
dc.date.accessioned2017-05-03T11:19:29Z
dc.date.available2017-05-03T11:19:29Z
dc.date.issued2009
dc.date.modified2011-09-08T06:58:51Z
dc.identifier.issn0003-6870
dc.identifier.doi10.1016/j.apergo.2008.10.005
dc.identifier.urihttp://hdl.handle.net/10072/40701
dc.description.abstractThe 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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom464
dc.relation.ispartofpageto471
dc.relation.ispartofissue3
dc.relation.ispartofjournalApplied Ergonomics
dc.relation.ispartofvolume40
dc.rights.retentionY
dc.subject.fieldofresearchSports science and exercise
dc.subject.fieldofresearchMedical physiology
dc.subject.fieldofresearchDesign
dc.subject.fieldofresearchcode4207
dc.subject.fieldofresearchcode3208
dc.subject.fieldofresearchcode3303
dc.titlePredicting pilot error: Testing a new methodology and a multi-methods and analysts approach
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2009
gro.hasfulltextNo Full Text
gro.griffith.authorDekker, Sidney


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    Contains articles published by Griffith authors in scholarly journals.

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