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NextGen training fo...
NextGen training for medical first responders : advancing mass-casualty incident preparedness through mixed reality technology
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- Zechner, Olivia (författare)
- Center for Technology Experience, Austrian Institute of Technology, Vienna, Austria; Department for Artificial Intelligence and Human Interfaces, University of Salzburg, Salzburg, Austria
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- García Guirao, Daniel (författare)
- Energy & Industry 5.0 Division, IDENER, Sevilla, Spain
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- Schrom-Feiertag, Helmut (författare)
- Center for Technology Experience, Austrian Institute of Technology, Vienna, Austria
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- Regal, Georg (författare)
- Center for Technology Experience, Austrian Institute of Technology, Vienna, Austria
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- Uhl, Jakob Carl (författare)
- Center for Technology Experience, Austrian Institute of Technology, Vienna, Austria; Department for Artificial Intelligence and Human Interfaces, University of Salzburg, Salzburg, Austria
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- Gyllencreutz, Lina (författare)
- Umeå universitet,Institutionen för omvårdnad,Institutionen för kirurgisk och perioperativ vetenskap
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- Sjöberg, David, 1971- (författare)
- Umeå universitet,Enheten för polisutbildning vid Umeå universitet
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- Tscheligi, Manfred (författare)
- Department for Artificial Intelligence and Human Interfaces, University of Salzburg, Salzburg, Austria
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Center for Technology Experience, Austrian Institute of Technology, Vienna, Austria; Department for Artificial Intelligence and Human Interfaces, University of Salzburg, Salzburg, Austria Energy & Industry 50 Division, IDENER, Sevilla, Spain (creator_code:org_t)
- Basel : MDPI, 2023
- 2023
- Engelska.
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Ingår i: Multimodal Technologies and Interaction. - Basel : MDPI. - 2414-4088. ; 7:12
- Relaterad länk:
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https://doi.org/10.3...
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https://umu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- SAMHÄLLSVETENSKAP -- Utbildningsvetenskap -- Pedagogik (hsv//swe)
- SOCIAL SCIENCES -- Educational Sciences -- Pedagogy (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Interaktionsteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Interaction Technologies (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Annan medicin och hälsovetenskap -- Övrig annan medicin och hälsovetenskap (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Other Medical and Health Sciences -- Other Medical and Health Sciences not elsewhere specified (hsv//eng)
Nyckelord
- mixed reality
- immersive technology
- VR applications
- human–computer interactions
- stress
- performance
- paramedic training
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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