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2026 Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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What’s the most difficult question you’ve been asked as a maintenance instructor?
Blye Widmar
"Where are the prints?!"
This was the final question in an onslaught of verbal feedback, comments, and critiques I received from my students back in 2019. I had two years of instructor experience and was teaching a class that had been meticulously rehearsed in preparation for an accreditation visit. I knew the training material well and transferred that knowledge effectively enough for all the students to pass the class. As we wrapped up, I asked the students how they felt about my first big system-level class, and they did not hold back.
“Why was the exam from memory when we don’t work from memory in the plant?” “Why didn’t we refer to the vendor documents?” “Why didn’t we practice more on the mock-up?” And so on.
Seunghwan Kim, Yochan Kim, Sun Yeong Choi, Wondea Jung, Jinkyun Park
Nuclear Technology | Volume 202 | Number 2 | May-June 2018 | Pages 259-277
Technical Paper | doi.org/10.1080/00295450.2017.1409053
Articles are hosted by Taylor and Francis Online.
It is well-known that one of the main causes of problems affecting social-technical systems, including nuclear power plants (NPPs), is human error. For this reason, reducing human error through human reliability analysis (HRA) is important. Furthermore, sufficient and reliable human performance data collection is a prerequisite for ensuring the safety of NPPs. The Korea Atomic Energy Research Institute developed the Human Reliability data EXtraction (HuREX) framework to provide a standard guideline for the collection and analysis of human performance data from operators in main control rooms based on simulator training records of NPPs. To do this, the development of a computerized software interface is required to collect simulator-based human performance data systematically and then to enter/analyze/quantify the various forms of data obtained from the simulator. In addition, a HRA database is needed for the effective management of the data generated during this process. In this research, we develop an interface that supports HuREX analysis so that HRA practitioners can conduct more effective HRA data analyses by integrating various types of raw data (e.g., audiovisual records, plant parameters, and operator action logs) collected from simulators. In addition, we expand the OPERA database to store a standardized data structure for more effective analyses of unsafe acts via the HuREX data analyzer and the HuREX video analyzer.