Browsing by Author "Chang, Danny"

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    Formal error prediction: The evaluation of standard operating procedures in a large commercial transport aircraft
    (Air Transport Research Society, 2009) Li, Wen-Chin; Hsu, Yueh-Ling; Chang, Danny; Wang, Thomas; Harris, Don
    This research applies the latest formal technique for human error prediction - Human Error Template (HET) - to evaluate standard operating procedures for performing a go-around in a large commercial transport aircraft. HET was originally developed in response to the requirement for formal methods to assess compliance with the new large civil aircraft human factors certification rule introduced to reduce the incidence of design-induced error on the flight deck (EASA Certification Specification 25.1302). A total of 67 Aircraft B pilots participated in this study including 25 captains and 42 first officers. This research finds that there are three types of errors with high likelihood committed by pilots during performing go-around, ‘Fail to execute’; ‘Task execution incomplete’; and ‘Task executed too late’. Therefore, there is a raising need to investigate further impact to flight safety for such errors occurred. Many of the errors that were found were the types of errors that most pilots were aware of and have simply had to accept on the flight deck. It is hoped that human factors certification standards would help to ensure that many of these errors are not included on future aircraft.
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    Human error prevention: using the human error template to analyze errors in a large transport aircraft for human factors considerations
    (2009-10-01T00:00:00Z) Li, Wen-Chin; Harris, Don; Stanton, Neville A.; Hsu, Yueh-Ling; Chang, Danny; Wang, Thomas; Young, Hong-Tsu
    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 flight deck 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. HET was originally developed in response to a requirement for formal methods to assess compliance with the new human factors certification rule for large civil aircraft introduced to reduce the incidence of design-induced error on the flight deck (EASA Certification Specification 25.1302). The HET taxonomy was applied to each bottom level task step in an HTA of the flight task in question. A total of 67 pilots participated in this research including 12 instructor pilots, 18 ground training instructor, and 37 pilots. Initial results found that participants identified 17 operational steps with between two and eight different operational errors being identified in each step by answering to the questions based either on his/her own experience or their knowledge of the same mistakes made previously by others. Sixty-five different errors were identified. The data gathered from this research will help to improve safety when performing a go-around by identifying potential errors on a step-by-step basis and allowing early remedial actions in procedures and crew coordination to be made.
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    Using HET taxonomy to help stop human error
    (2010-07-01T00:00:00Z) Li, Wen-Chin; Harris, Don; Stanton, Neville A.; Hsu, Yueh-Ling; Chang, Danny; Wang, Thomas; Young, Hong-Tsu
    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.