Browsing by Author "Young, Mark S."
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Item Open Access Predicting design induced pilot error using HET (human error template) - a new formal human error identification method for flight decks(Royal Aeronautical Society, 2006-02-01T00:00:00Z) Stanton, Neville A.; Harris, Don; Salmon, Paul M.; Demagalski, Jason M.; Marshall, Andrew; Young, Mark S.; Dekker, S. W. A.; Waldmann, T.Human factors certification criteria are being developed for large civil aircraft with the objective of reducing the incidence of designinduced error on the flight deck. Many formal error identification techniques currently exist which have been developed in nonaviation contexts but none have been validated for use to this end. This paper describes a new human error identification technique (HET - human error template) designed specifically as a diagnostic tool for the identification of design-induced error on the flight deck. HET is benchmarked against three existing techniques (SHERPA - systematic human error reduction and prediction approach; human error HAZOP - hazard and operability study; and HEIST - human error In systems tool). HET outperforms all three existing techniques in a validation study comparing predicted errors to actual errors reported during an approach and landing task in a modern, highly automated commercial aircraft. It is concluded that HET should provide a useful tool as a adjunct to the proposed hliman factors certification process.Item Open Access Using SHERPA to predict design-induced error on the flight deck.(Elsevier, 2005-09) Harris, Don; Stanton, Neville A.; Marshall, Andrew; Young, Mark S.; Demagalski, Jason M.; Salmon, Paul M.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.