Non-linear, Team-based VR Training for Cardiac Arrest Care with enhanced CRM Toolkit
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866913938795397120 |
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| author | Kentros, Mike Kamarianakis, Manos Cole, Michael Popov, Vitaliy Protopsaltis, Antonis Papagiannakis, George |
| author_facet | Kentros, Mike Kamarianakis, Manos Cole, Michael Popov, Vitaliy Protopsaltis, Antonis Papagiannakis, George |
| contents | This paper introduces iREACT, a novel VR simulation addressing key limitations in traditional cardiac arrest (CA) training. Conventional methods struggle to replicate the dynamic nature of real CA events, hindering Crew Resource Management (CRM) skill development. iREACT provides a non-linear, collaborative environment where teams respond to changing patient states, mirroring real CA complexities. By capturing multi-modal data (user actions, cognitive load, visual gaze) and offering real-time and post-session feedback, iREACT enhances CRM assessment beyond traditional methods. A formative evaluation with medical experts underscores its usability and educational value, with potential applications in other high-stakes training scenarios to improve teamwork, communication, and decision-making. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_08805 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Non-linear, Team-based VR Training for Cardiac Arrest Care with enhanced CRM Toolkit Kentros, Mike Kamarianakis, Manos Cole, Michael Popov, Vitaliy Protopsaltis, Antonis Papagiannakis, George Human-Computer Interaction Computers and Society Graphics This paper introduces iREACT, a novel VR simulation addressing key limitations in traditional cardiac arrest (CA) training. Conventional methods struggle to replicate the dynamic nature of real CA events, hindering Crew Resource Management (CRM) skill development. iREACT provides a non-linear, collaborative environment where teams respond to changing patient states, mirroring real CA complexities. By capturing multi-modal data (user actions, cognitive load, visual gaze) and offering real-time and post-session feedback, iREACT enhances CRM assessment beyond traditional methods. A formative evaluation with medical experts underscores its usability and educational value, with potential applications in other high-stakes training scenarios to improve teamwork, communication, and decision-making. |
| title | Non-linear, Team-based VR Training for Cardiac Arrest Care with enhanced CRM Toolkit |
| topic | Human-Computer Interaction Computers and Society Graphics |
| url | https://arxiv.org/abs/2507.08805 |