A Comparison between Laboratory and Wearable Sensors in the Context of Physiological Synchrony

Jasper J. van Beers, I. Stuldreher, Nattapong Thammasan, A. Brouwer
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引用次数: 10

Abstract

Measuring concurrent changes in autonomic physiological responses aggregated across individuals (Physiological Synchrony - PS) can provide insight into group-level cognitive or emotional processes. Utilizing cheap and easy-to-use wearable sensors to measure physiology rather than their high-end laboratory counterparts is desirable. Since it is currently ambiguous how different signal properties (arising from different types of measuring equipment) influence the detection of PS associated with mental processes, it is unclear whether, or to what extent, PS based on data from wearables compares to that from their laboratory equivalents. Existing literature has investigated PS using both types of equipment, but none compared them directly. In this study, we measure PS in electrodermal activity (EDA) and inter-beat interval (IBI, inverse of heart rate) of participants who listened to the same audio stream but were either instructed to attend to the presented narrative (n=13) or to the interspersed auditory events (n=13). Both laboratory and wearable sensors were used (ActiveTwo electrocardiogram (ECG) and EDA; Wahoo Tickr and EdaMove4). A participant's attentional condition was classified based on which attentional group they shared greater synchrony with. For both types of sensors, we found classification accuracies of 73% or higher in both EDA and IBI. We found no significant difference in classification accuracies between the laboratory and wearable sensors. These findings encourage the use of wearables for PS based research and for in-the-field measurements.
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生理同步环境下实验室传感器与可穿戴传感器的比较
测量个体间自主生理反应的同步变化(生理同步- PS)可以深入了解群体水平的认知或情绪过程。利用廉价和易于使用的可穿戴传感器来测量生理,而不是他们的高端实验室同行是可取的。由于目前尚不清楚不同的信号特性(来自不同类型的测量设备)如何影响与心理过程相关的PS检测,因此尚不清楚基于可穿戴设备数据的PS是否或在多大程度上与实验室等效数据相比较。现有文献研究了使用两种设备的PS,但没有直接比较它们。在这项研究中,我们测量了皮电活动(EDA)和心跳间隔(IBI,心率的倒数)的PS,这些参与者听了相同的音频流,但被指示注意所呈现的叙述(n=13)或穿插的听觉事件(n=13)。使用实验室和可穿戴传感器(ActiveTwo心电图和EDA);雅虎股票和EdaMove4。参与者的注意力状况是根据他们与哪个注意力组有更大的同步性来分类的。对于这两种类型的传感器,我们发现EDA和IBI的分类准确率为73%或更高。我们发现实验室和可穿戴传感器在分类精度上没有显著差异。这些发现鼓励可穿戴设备用于基于PS的研究和现场测量。
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