Abstract
The Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) is simulation software for modeling the human portion of risk. HUNTER is built on a framework that separately models individual, task, and environmental factors. As a dynamic human reliability analysis (HRA) method, it affords advantages over traditional static or worksheet-based HRA approaches, such as the ability to model what-if scenarios and produce outputs beyond human error probabilities. In this paper, a validation was conducted of HUNTER task time estimates vs. empirical data collected for a steam generator tube rupture scenario. The HUNTER model produced using GOMS-HRA task-level primitives yielded timing results very closely aligned to empirical reference data for base and complex conditions, suggesting the tool holds promise for HRA requiring time estimation.
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