Abstract
This paper investigates the link between gaps in emergency responders' notions of mental model regarding radiation and risk and their effectiveness in responding to radiological incidents. Particularly, this work focused on exploring themes that emerged in prior work related to improper understanding and application of knowledge concepts related to radiation risks and Radiological Dispersal Device (RDD) scenarios (Leek et al., 2024b). The research uses a quantitative approach to correlate various thematic elements, such as responders' confidence levels, comprehension, and application of radiation risk principles, with the quality of the emergency response score gained through a virtual reality simulation. The results underscore a strong effect of responders' confidence level on response quality scores. Additionally, the study identifies that improper understanding of knowledge concepts and incorrect application of radiation risk and RDD concepts are factors that detract from the quality of response, especially the tendency to overestimate health risks associated with a 25-rem (0,25 Sv) dose and to misapply principles of radiation risk. The implications of this research are significant for the development and refinement of training programs for hazardous materials (HAZMAT) technicians and other emergency responders. The findings suggest the need for a comprehensive review of current training methodologies to address the identified deficiencies that had impacts on the quality of response. The findings provide a foundation for reshaping training priorities and operational readiness, driving the development of training that is both grounded in empirical evidence and that directly addresses the knowledge gaps influencing response quality. The methodological framework developed and employed, including the quality scoring system and the Expected Mental Model State (EMMS) Diagnostic Matrix, also hold potential for broader application in future investigations, extending to diverse types of responders and emergency scenarios.
Published Version
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