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The rapid evolution of Extended Reality (XR) technologies, encompassing Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR), offers unprecedented opportunities for enhancing critical care nursing education by immersing students in realistic, risk-free clinical scenarios. However, existing XR solutions rarely integrate Human-Computer Interaction (HCI) principles and E-Health functionalities within a unified framework. This paper presents the design and development of a rule-based XR simulation tool tailored for critical care nursing education. The architecture comprises an immersive ICU environment, a decision-tree-driven interaction module, an embedded Electronic Health Record (EHR) simulator, and an HCI interface layer optimized for usability. We ground our design in Kolb’s Experiential Learning Theory, mapping each learning stage to XR activities. Detailed diagrams illustrate system components and data flows, while an interaction flow table exemplifies typical decision pathways. Unlike existing XR simulators, our tool embeds structured decision logic and digital documentation tasks within a single, immersive framework. This design lays the foundation for future implementation and rigorous evaluation of educational outcomes in large-scale studies.

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Design of a Rule-Based XR Simulation Tool Integrating E-Health and Human-Computer Interaction for Critical Care Nursing Education

  • 会议论文

  • 发表日期：

    2026年

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  • Konstantinos Evgenikos,
  • Christos Troussas,
  • Areti Stavropoulou,
  • Dimitrios Papageorgiou

摘要

The rapid evolution of Extended Reality (XR) technologies, encompassing Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR), offers unprecedented opportunities for enhancing critical care nursing education by immersing students in realistic, risk-free clinical scenarios. However, existing XR solutions rarely integrate Human-Computer Interaction (HCI) principles and E-Health functionalities within a unified framework. This paper presents the design and development of a rule-based XR simulation tool tailored for critical care nursing education. The architecture comprises an immersive ICU environment, a decision-tree-driven interaction module, an embedded Electronic Health Record (EHR) simulator, and an HCI interface layer optimized for usability. We ground our design in Kolb’s Experiential Learning Theory, mapping each learning stage to XR activities. Detailed diagrams illustrate system components and data flows, while an interaction flow table exemplifies typical decision pathways. Unlike existing XR simulators, our tool embeds structured decision logic and digital documentation tasks within a single, immersive framework. This design lays the foundation for future implementation and rigorous evaluation of educational outcomes in large-scale studies.