A fundamental issue of a human reliability analysis (HRA) in a nuclear power plant is a lack of empirical data in terms of both human error probability (HEP) and lower level information of human performance that can be used to estimate HEPs. As an effort to resolve this issue, KAERI (Korea Atomic Energy Research Institute) developed a framework, called HuREX (Human Reliability data Extraction), for data collection and analysis from a simulator to generate HRA data such as HEPs or correlations between performance shaping factors (PSFs) and the associated HEPs. The HuREX provides guidance on unsafe act (UA) identification, method and process of data collection.

To do this, the development of a computerized software interface is required to systematically collect simulator-based human performance data and subsequently enter/analyze/quantify various data obtained from the simulator. In addition, HRA database is also needed to effectively store the data generated in this process. In this research, we developed HuREX analysis supporting interface for HRA practitioner effectively conduct HRA data analysis by integrating various raw data (e.g., audio-visual records, plant parameters, operator's action logs) collected from the simulator.