Firefighter Response Training Using Real-Time Adaptive XR Scenarios

The classic methods of training firefighters, which could be delivered in a physical structure or be in the form of stationary extended reality (XR) training, are very restricted in terms of realism, flexibility, as well as in terms of scale. Physical training facilities are highly costly to maintain, non-particularly readily adjustable, and can be hazardous during actual training. In the meantime, the applications of the stationary XR modules are not usually dynamically responsive to the user input and, thus, are not capable of supporting the real-time decision-making or the simulation of the realistic stress. The creation of the first adaptive XR training system specific to the readiness of the firefighters is introduced in the research. It integrates AI-based adaptation of the situation with real-time intervention by the instructor to create a high-fidelity training that reacts to trainees. The system maintains a consistent record of actions, responsiveness, and coordination of a team as trainees deal with the varying fire circumstances, and hence, balances the hazard intensity such as spread of fire, smoke density, and structural support of the edifice. The fact that there is no control in real emergencies can be simulated by instructors interjecting the scenario in real-time in order to alter, introduce new problems or offer suggestions based on their assessment, which can be guided feedback. In order to evaluate the quality of the system, the scientists compared the system with the traditional XR modules regarding the effect on the participants (60) divided equally between the control and experimental groups. Measures such as accuracy of the procedures, time of response to the hazards, consistency of decision making as well as one week retention were used. The results showed that trainees who studied adaptive system were 24 per cent faster, the error rates critical were reduced in 40 per cent and the level of retention was 19 per cent higher than those who studied fixed XR. In addition, there was a high score on the engagements with greater user immersion and the sense of realism. The results validate the adaptive XR as a game changer in educating firefighters and possibilities to scale, differentiate, and introduce a safer learning environment, one which responds to the needs of the real world.

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