This National Science Foundation (NSF) Early-Concept Grant for Exploratory Research (EAGER) project, awarded under the NSF Engineering program (CFDA 47.041), funds research to speed up the development of mixed reality and artificial intelligence technologies to enhance training and effectiveness for first responders. The $299,861 grant awarded to George Mason University will work with the Fairfax Fire and Rescue Department to explore how AI can be integrated with mixed reality tools to improve training scenarios for first responders. The research aims to devise a framework to adapt mixed reality training to real-world scenes, enabling first responders to practice handling different emergency response tasks through interactive, AI-enhanced simulations. This interdisciplinary project combines expertise in mixed reality, AI, human-computer interaction, and movement science to advance first responder training and human-AI collaboration. The research findings will be shared at relevant conferences on mixed reality and training technologies.
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