Conference paper
Predicting pilot error: assessing the performance of SHERPA
Human Decision Making and Control, pp.47-51
European Annual Conference on Human decision making and control, 21st (Glasgow, United Kingdom, 15-Jun-2002–16-Jun-2002)
University of Glasgow
2002
Abstract
This paper introduces SHERPA (Systematic Human Error Reduction and Prediction Approach) as a means for predicting pilot error. SHERPA was initially developed for predicting human error in the nuclear industry about 15 years ago. Since that time validation studies to support the continued use of SHERPA have been encouraging. Most research shows that SHERPA is amongst the best human error prediction tools available. Yet there is little research in the open literature of error prediction for cockpit tasks. This study attempts to provide some evidence for the reliability and validity of SHERPA in aviation domain.
Details
- Title
- Predicting pilot error: assessing the performance of SHERPA
- Authors
- Neville A Stanton (Author) - Brunel University, United KingdomM S Young (Author) - Brunel University, United KingdomPaul M Salmon (Author) - Brunel University, United KingdomD Harris (Author) - Cranfield University, United KingdomJ M Demagalski (Author) - Cranfield University, United KingdomAndrew Marshall (Author) - Marshall AssociatesT Waldmann (Author) - University of Limerick, IrelandS Dekker (Author) - Linkoping University, Sweden
- Contributors
- C W Johnson (Editor)
- Publication details
- Human Decision Making and Control, pp.47-51
- Conference details
- European Annual Conference on Human decision making and control, 21st (Glasgow, United Kingdom, 15-Jun-2002–16-Jun-2002)
- Publisher
- University of Glasgow
- Date published
- 2002
- Organisation Unit
- Centre for Human Factors and Systems Science; University of the Sunshine Coast, Queensland; School of Law and Society
- Language
- English
- Record Identifier
- 99450373102621
- Output Type
- Conference paper
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