HAZMAT Technician-level Emergency Response: A Mental Model Framework for Radiological Dispersal Device (RDD)...

Area of Science:

• Emergency response
• Cognitive science
• Radiological incident management

Background:

• Radiological Dispersal Devices (RDDs) pose unique challenges for HAZMAT technicians.
• Effective response relies on responders' cognitive frameworks and situational awareness.
• Existing evaluation tools may not fully capture the complexities of radiation crisis response.

Purpose of the Study:

• To introduce the Expected Mental Model State (EMMS) as a tool for evaluating and enhancing emergency responder expertise.
• To develop a comprehensive framework for understanding HAZMAT technicians' mental models during RDD incidents.
• To provide a basis for improving training and preparedness for radiation emergencies.

Main Methods:

• Qualitative methodology using grounded theory and expert focus groups.
• Development of the EMMS framework using an influence diagram architecture.
• Identification of key conceptual domains and subtopics within the mental model framework.

Main Results:

• The EMMS framework comprises fourteen key conceptual domains and 301 subtopics.
• Three pivotal notions emerged: Knowledge Topology, Envisioning (Belief), and Response and Operability.
• The framework aligns with existing mental model theories and is applicable to broader CBRN scenarios.

Conclusions:

• Mental models are critical for effective preparedness and response to radiation emergencies.
• The EMMS framework offers a versatile methodology adaptable to various emergency responders and high-risk situations.
• Developing an EMMS Diagnostic Matrix can guide the creation of specialized training modules to improve responder efficacy.