Using HET taxonomy to help stop human error

dc.contributor.authorLi, Wen-Chin-
dc.contributor.authorHarris, Don-
dc.contributor.authorStanton, Neville A.-
dc.contributor.authorHsu, Yueh-Ling-
dc.contributor.authorChang, Danny-
dc.contributor.authorWang, Thomas-
dc.contributor.authorYoung, Hong-Tsu-
dc.date.accessioned2014-01-25T05:01:16Z
dc.date.available2014-01-25T05:01:16Z
dc.date.issued2010-07-01T00:00:00Z-
dc.description.abstractFlight crews make positive contributions to the safety of aviation operations. Pilots have to assess continuously changing situations, evaluate potential risks, and make quick decisions. However, even well-trained and experienced pilots make errors. Accident investigations have identified that pilots’ performance is influenced significantly by the design of the flightdeck interface. This research applies hierarchical task analysis (HTA) and utilizes the Human Error Template (HET) taxonomy to collect error data from pilots during flight operations when performing a go-around in a large commercial transport aircraft.en_UK
dc.identifier.citationWen-Chin Li, Don Harris, Neville A. Stanton, Yueh-Ling Hsu, Danny Chang, Thomas Wang, Hong-Tsu Young, Using HET taxonomy to help stop human error, ISASI Forum- Air Safety Through Investigation, 2010, Volume 43, Issue 3, Pages 5-10.
dc.identifier.issn1088-8128-
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/8163
dc.language.isoen_UK-
dc.subjectAviation Safety, Cockpit Design, Hierarchical Task Analysis, Human Error Templateen_UK
dc.titleUsing HET taxonomy to help stop human erroren_UK
dc.typeArticle-

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