Using HET taxonomy to help stop human error

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dc.contributor.author Li, Wen-Chin -
dc.contributor.author Harris, Don -
dc.contributor.author Stanton, Neville A. -
dc.contributor.author Hsu, Yueh-Ling -
dc.contributor.author Chang, Danny -
dc.contributor.author Wang, Thomas -
dc.contributor.author Young, Hong-Tsu -
dc.date.accessioned 2014-01-25T05:01:16Z
dc.date.available 2014-01-25T05:01:16Z
dc.date.issued 2010-07-01T00:00:00Z -
dc.identifier.citation Wen-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.issn 1088-8128 -
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/8163
dc.description.abstract Flight 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.language.iso en_UK -
dc.subject Aviation Safety, Cockpit Design, Hierarchical Task Analysis, Human Error Template en_UK
dc.title Using HET taxonomy to help stop human error en_UK
dc.type Article -


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