Execution of the Information Model for Synergistic Decision Support Using IMPRINT Simulation

A new information model was previously presented and evaluated based on expert judgment using 15 subjective criteria. This combined model brought together two well-developed concepts: Naturalistic Decision Making (NDM) and Enterprise Modeling Language (EML). In the NDM framework, decisions are made based on recognizing familiar environmental cues and applying learned responses, while EML organizes information flow and how technology is woven into decision-making processes. This integration targeted better situation awareness, as it effectively connects external inputs (from NDM) with information requirements (from EML). This follow-up paper introduces how the combined model can be simulated using the Improved Performance Research Integration Tool (IMPRINT). The simulation investigates a scenario of disaster prevention, including specifically a chemical spill and the possibility of an explosion, where quick decisions about containment, evacuation, threat assessment, and explosion prevention are needed. Functions are defined, and sequences of tasks are modeled in the simulation tool. The probabilistic tasks have different success probabilities depending on the decision-maker's experience level (novice, practice, expert). Assigned probabilities are quantified from qualitative likelihoods using the Words of Estimative Probability (WEP) framework. The simulation can be used to test hypotheses of information availability and decision-maker expertise, which are the foundations of the combined model.