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Healthcare professionals frequently have to switch attention between tasks in clinical settings, often due to unavoidable environmental distractions. Simulating these distractions in medical extended reality (XR) training can help trainees better understand and manage the performance costs of task-switching. Our study demonstrates that switch costs can be effectively reproduced in a task-based virtual reality (VR) setting. We evaluate these costs through real-time pupillometric analysis of cognitive load and retrospective self-reported data to provide a quantitative foundation for developing realistic simulations of environmental distractions in medical XR training.

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Assessing Cognitive Load in Distraction and Task Switching: Implications for Developing Realistic Clinical XR Training

  • 会议论文

  • 发表日期：

    2025年

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  • Adrian Vulpe-Grigorasi,
  • Benedikt Gollan,
  • Vanessa Leung

摘要

Healthcare professionals frequently have to switch attention between tasks in clinical settings, often due to unavoidable environmental distractions. Simulating these distractions in medical extended reality (XR) training can help trainees better understand and manage the performance costs of task-switching. Our study demonstrates that switch costs can be effectively reproduced in a task-based virtual reality (VR) setting. We evaluate these costs through real-time pupillometric analysis of cognitive load and retrospective self-reported data to provide a quantitative foundation for developing realistic simulations of environmental distractions in medical XR training.