Abstract In the high-paced and dynamic clinical setting of an emergency department, a physician's ability to manage mental resources and mitigate the effects of cognitive overload is critical to patient safety. Although the ability to regulate cognitive assets during crises is seen as the hallmark of expertise in a resuscitation setting, the specific psychological strategies used by these domain experts and the patterns of their expression remain unknown. This study aims to combine traditional cognitive load rating scales with physiologic data from newer wearable devices to measure cognitive state of physician team leaders during real-life resuscitations. Eye-tracking, galvanic skin response, and heart rate measures were captured from five expert physicians during five trauma resuscitations. Physiologic measures were correlated with psychometric scores collected using a cued-recall debriefing protocol. Results varied between participants and trials; overall, skin conductance response amplitude and frequency and eye tracking metrics showed the strongest correlation to Paas scores. Regression analysis revealed that a quadratic model is more representative of the psychometric-physiologic relationship than a linear model for most measures. The findings of this experiment support existing evidence that multiple physiologic measures should be employed to most accurately measure cognitive load in a real-world setting.

中文翻译：

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创伤复苏期间医师团队领导者认知负荷的心理生理测量

摘要 在急诊科的快节奏和动态临床环境中，医生管理精神资源和减轻认知超负荷影响的能力对患者安全至关重要。尽管在危机期间调节认知资产的能力被视为复苏环境中专业知识的标志，但这些领域专家使用的特定心理策略及其表达模式仍然未知。本研究旨在将传统的认知负荷评级量表与来自较新的可穿戴设备的生理数据相结合，以测量真实复苏过程中医师团队领导者的认知状态。在五次创伤复苏期间，五位专家医生采集了眼动追踪、皮肤电反应和心率测量值。生理测量与使用提示回忆汇报协议收集的心理测量分数相关。结果因参与者和试验而异；总体而言，皮肤电导反应幅度和频率以及眼动追踪指标与 Paas 分数的相关性最强。回归分析表明，对于大多数测量，二次模型比线性模型更能代表心理-生理关系。该实验的结果支持现有证据，即应采用多种生理措施来最准确地测量现实世界环境中的认知负荷。皮肤电导反应幅度和频率以及眼动追踪指标显示出与 Paas 分数的最强相关性。回归分析表明，对于大多数测量，二次模型比线性模型更能代表心理-生理关系。该实验的结果支持现有证据，即应采用多种生理措施来最准确地测量现实世界环境中的认知负荷。皮肤电导反应幅度和频率以及眼动追踪指标显示出与 Paas 分数的最强相关性。回归分析表明，对于大多数测量，二次模型比线性模型更能代表心理-生理关系。该实验的结果支持现有证据，即应采用多种生理措施来最准确地测量现实世界环境中的认知负荷。