To date, many efforts utilizing actual historical measurements, expert judgment, and simulator experiment research have been conducted to secure sufficient data for performing human reliability analysis (HRA). These days, experiment research based on full-scope simulators with actual expert operators is considered the leading method of HRA data collection. These full scope empirical studies are favorable for collecting data guaranteed to feature a high degree of fidelity, but they present challenges in regard to collecting a variety of HRA items with sufficient sample sizes under various types of scenarios. Accordingly, Idaho National Laboratory has proposed the Simplified Human Error Experimental Program (SHEEP) framework as a way to complement existing simulator research through the use of simplified simulators. The present work experimentally investigates how human performance measures and human errors—pertaining to both expert and non expert operators alike—change in correlation with simulator complexity. This study also proposes how, within the SHEEP framework, full-scope data can be inferred based on simplified simulator data.
