ABSTRACT
Human Error Identification (HEI) or error prediction methods are used to identify potential errors that may arise as a result of man-machine interactions in complex systems. The human error template error taxonomy consists of twelve error modes that were selected based upon a study of actual pilot error incidence and existing error modes used in contemporary HEI methods. In general, the main problem surrounding the application of HEI methods is related to their validation. The Technique for the Retrospective and Predictive Analysis of Cognitive Errors is a HEI technique that was developed specifically for use in the air traffic control domain, as part of the human error in European air traffic management project. The impetus for the development of Technique for Human Error Assessment was the requirement for a HEI tool that could be used effectively and easily by non-Human Factors specialists.
