Simulations for Augmented Reality Evaluation for Mass Casualty Incident Triage
Cassidy R. Nelson, Joseph L. Gabbard, Jason B. Moats, and Ranjana K. Mehta

TL;DR
This paper presents two progressive simulation strategies for evaluating augmented reality tools in mass casualty incident triage, addressing the challenge of testing high-stakes emergency response technologies safely.
Contribution
It introduces novel simulation methods that bridge computer-based models and real-world response for AR evaluation in MCIs.
Findings
Two simulation strategies developed for AR evaluation.
Enhanced safety and feasibility in testing AR tools.
Bridging the gap between simulation and real-world deployment.
Abstract
Mass casualty incidents (MCIs) are a high-risk, sensitive domain with profound implications for patient and responder safety. Augmented reality has shown promise as an assistive tool for high-stress work domains and MCI triage both in the field and for pre-field training. However, the vulnerability of MCIs makes it challenging to evaluate new tools designed to enhance MCI response. In other words, profound evolutions like the integration of augmented reality into field response require thorough proof-of-concept evaluations before being launched into real-world response. This paper describes two progressive simulation strategies for augmented reality that bridge the gap between computer-based simulation and actual field response.
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Taxonomy
TopicsDisaster Response and Management · Simulation-Based Education in Healthcare · Augmented Reality Applications
