XR for First Responders: Concepts, Challenges and Future Potential of Immersive Training

Uhl, Jakob C.; Regal, Georg; Schrom-Feiertag, Helmut; Murtinger, Markus; Tscheligi, Manfred

doi:10.1007/978-3-031-48495-7_13

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…This realism can be augmented through tangible interactions and haptic feedback (Muender et al, 2019), enhancing the sensorimotor contingencies that underpin the user's sense of presence and immersion within the MR environment. Recently, Skarbez et al's framework was applied to the field of first responder training in MR (Uhl, Regal, Schrom-Feiertag, Murtinger, & Tscheligi, 2023).…”

Section: Immersion and The Sense Of Presence In Mixed Realitymentioning

confidence: 99%

Mixed Reality Training for Medical First Responders: System Evaluation and Recommendations

Zechner,

Uhl,

Baetzner

et al. 2024

Preprint

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Purpose: This study assesses the integration of Mixed Reality (MR) technologies in medical first responder (MFR) training, focusing on identifying key factors influencing behavioral intention to use MR systems and practical implications for technology acceptance and enhanced realism through haptic feedback. Methods: Through a User-Centered Design approach, involving co-creation workshops, iterative development, and evaluations in pilot and field trials across six countries, this study evaluated technology acceptance, presence, user experience, and workload among MFRs. Both quantitative measures and qualitative feedback were collected to analyze the determinants of technology acceptance and user engagement. Results: The MED1stMR Training System, developed as a result, demonstrates that performance expectancy, effort expectancy, and social presence are significant predictors of behavioral intention to use MR training systems among MFRs. High technology acceptance and positive user experience were reported, with specific emphasis on the educational value of haptic feedback in skill training. Trainer feedback highlighted the importance of real-time performance metrics and openness to AI-driven training assistance for enhancing training outcomes. Conclusion: The study underscores the critical role of realistic patient interaction and the importance of aligning training challenges with users' skills to create engaging MR training environments for MFRs. Identifying factors influencing behavioral intention offers valuable insights for the development of MR training systems, suggesting a focus on social presence and interactive capabilities to improve realism and educational value. The findings advocate for the integration of adaptive training features and further exploration of AI support in scenario optimization and performance enhancement.

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Section: Immersion and The Sense Of Presence In Mixed Realitymentioning

confidence: 99%

Mixed Reality Training for Medical First Responders: System Evaluation and Recommendations

Zechner,

Uhl,

Baetzner

et al. 2024

Preprint

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“…This framework was recently applied and mapped to first responder training by Uhl et al [12], who especially highlight MR with high immersion and high extent of world knowledge for future immersive skill training for MFRs. Put simply, this combination describes an MR setup for which the simulated experience feels real and the system knows a lot about its surroundings.…”

Section: Understanding Mixed Reality (Mr)mentioning

confidence: 99%

NextGen Training for Medical First Responders: Advancing Mass-Casualty Incident Preparedness through Mixed Reality Technology

Zechner,

García Guirao,

Schrom-Feiertag

et al. 2023

MTI

Self Cite

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Mixed reality (MR) technology has the potential to enhance the disaster preparedness of medical first responders in mass-casualty incidents through new training methods. In this manuscript, we present an MR training solution based on requirements collected from experienced medical first responders and technical experts, regular end-user feedback received through the iterative design process used to develop a prototype and feedback from two initial field trials. We discuss key features essential for an effective MR training system, including flexible scenario design, added realism through patient simulator manikins and objective performance assessment. Current technological challenges such as the responsiveness of avatars and the complexity of smart scenario control are also addressed, along with the future potential for integrating artificial intelligence. Furthermore, an advanced analytics and statistics tool that incorporates complex data integration, machine learning for data analysis and visualization techniques for performance evaluation is presented.

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X-OAR: Orchestration of Access Resources for eXtended Reality Educational Applications

Priviero,

Mastrandrea,

Chatzigiannakis

et al. 2024

2024 IFIP Networking Conference (IFIP Networking)

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XR for First Responders: Concepts, Challenges and Future Potential of Immersive Training

Cited by 3 publications

References 35 publications

Mixed Reality Training for Medical First Responders: System Evaluation and Recommendations

Mixed Reality Training for Medical First Responders: System Evaluation and Recommendations

NextGen Training for Medical First Responders: Advancing Mass-Casualty Incident Preparedness through Mixed Reality Technology

X-OAR: Orchestration of Access Resources for eXtended Reality Educational Applications

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