The aim of the present research is to propose a hybrid model for human error probability analysis based on Cognitive Reliability and Error Analysis Method (CREAM) and Systematic Human Error Reduction and Prediction Approach (SHERPA) Method. The model aims to provide a theoretical framework to understand human behavior and to predict error probability. This model is based on a fundamental distinction between competence and control that offers a way of describing how performance depends on context. The most important result of this work is to provide a model that can be used in the preventive phase of an accident in order to mitigate the damages.
A Hybrid Model for Human Error Probability Analysis
De Felice, F.;PETRILLO, Antonella;
2016-01-01
Abstract
The aim of the present research is to propose a hybrid model for human error probability analysis based on Cognitive Reliability and Error Analysis Method (CREAM) and Systematic Human Error Reduction and Prediction Approach (SHERPA) Method. The model aims to provide a theoretical framework to understand human behavior and to predict error probability. This model is based on a fundamental distinction between competence and control that offers a way of describing how performance depends on context. The most important result of this work is to provide a model that can be used in the preventive phase of an accident in order to mitigate the damages.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
