Human-Centered Intelligent Training for Emergency Responders

Emergency response (ER) workers perform extremely demanding physical and cognitive tasks that can result in serious injuries loss of life. Human augmentation technologies have the potential to enhance work-capacities, thereby dramatically transforming landscape ER work, reducing injury risk, improving ER, as well helping attract retain skilled workers. This opportunity has been significantly hindered by lack high-quality training for effectively integrates innovative intelligent solutions. Hence, new learning environments are needed adaptive, affordable, accessible, continually available reskilling workforce technological capabilities continue improve. article presents research considerations design integration use-inspired exoskeletons augmented reality processes identification unique motor needs each these context-independent ER-relevant scenarios. We propose a human-centered artificial intelligence (AI) enabled framework ER. Finally, how requirements nascent integrated an tutoring system delivers across tiered access levels, covering range virtual, mixed, environments, is discussed.