在高风险的医疗环境中使用增强现实来训练语义

IF 2.2 Q3 ENGINEERING, INDUSTRIAL Journal of Cognitive Engineering and Decision Making Pub Date : 2021-09-01 DOI:10.1177/15553434211019234
Christen E. Sushereba, L. Militello, Steven P Wolf, E. Patterson
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引用次数: 5

摘要

我们提出了一个使用增强现实(AR)来训练战斗医务人员和民用紧急医疗人员的语义技能的框架。AR和其他扩展现实技术创造了引人入胜的培训环境,但它们对培训结果的有效性尚不清楚。AR的一个好处是,它可以通过自然决策(NDM)模型所强调的真实感和上下文来增强模拟训练。我们描述了利用AR优势的语义构建的四个关键要素:感知技能、评估技能、心理模型和生成/评估假设。我们将讨论如何使用AR来训练这四个元素,以及设计含义。在设计基于ar的模拟训练时,关注自然的任务和环境,可能会使训练不仅引人入胜,而且有效。
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Use of Augmented Reality to Train Sensemaking in High-Stakes Medical Environments
We present a framework for using augmented reality (AR) to train sensemaking skills in combat medics and civilian emergency medical personnel. AR and other extended reality technologies create engaging training environments, but their effectiveness on training outcomes is not yet clear. One benefit of AR is that it can enhance simulation training with realism and context that naturalistic decision-making (NDM) models emphasize. We describe four key elements of sensemaking that leverage the strengths of AR: perceptual skills, assessment skills, mental models, and generating/evaluating hypotheses. We discuss how AR can be used to train each of these four elements, along with design implications. A focus on naturalistic tasks and environments while designing AR-based simulation training will likely lead to training that is not only engaging but also effective.
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来源期刊
CiteScore
4.60
自引率
10.00%
发文量
21
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