ABSTRACT
The Integrated Decision-tree Human Event Analysis System (IDHEAS) was developed as a new Human Reliability Analysis (HRA) method to reduce HRA variability and improve estimates of Human Error Probabilities (HEPs) (NRC, 2012). Based on cognitive models and mechanisms underlying human behavior, the method employs a framework of 14 Crew Failure Modes (CFMs) to represent human failures that are typically for human performance in nuclear power plant control rooms. A Decision Tree (DT) was constructed for each CFM to assess the probability of the CFM occurring in different contexts with each path in the DT representing a different context. This article documents a study for collecting and using available human performance data and relevant information to inform HEP estimates as part of the efforts of developing the quantification model described above. The data needs for the quantification model are first discussed, and the technical challenges in collecting and using such data are then presented.
