An Empirical Study Comparing Unobtrusive Physiological Sensors for Stress Detection in Computer Work
An Empirical Study Comparing Unobtrusive Physiological Sensors for Stress Detection in Computer Work
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DOI：
10.3390/s19173766
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发表时间：
2019-09-01
期刊：
影响因子：
3.9
通讯作者：
Gutierrez-Osuna, Ricardo
中科院分区：
文献类型：
--
作者：
Akbar, Fatema;Mark, Gloria;Gutierrez-Osuna, Ricardo
研究中已经测试了几种不显眼的传感器，以捕获工作场所环境中对压力的生理反应。实验室研究往往侧重于在特定计算机任务期间评估传感器，而现场研究则倾向于提供传感器在工作场所压力监测方面的功效的概括视图，而不区分不同的任务。鉴于工作场所计算机活动的变化，本研究调查了不显眼的传感器在各种任务中测量压力的功效。我们对实验室实验中获得的五种生理测量结果进行了比较，参与者完成了六种不同的计算机任务，同时我们使用胸带（心电图、呼吸）、腕带（PPG 和 EDA）和新兴的热成像方法（鼻周出汗）测量他们的压力水平。我们发现热成像可以检测大多数参与者在所有任务中增加的压力，而手腕和胸部传感器在任务和参与者中的通用性较差。我们总结了每个传感器流的成本和收益，并展示了一些计算机使用场景如何对某些生理传感器的压力监测带来可用性和可靠性挑战。我们为研究人员和系统构建者提供在工作场所使用计算机期间使用生理传感器测量压力的建议。
Several unobtrusive sensors have been tested in studies to capture physiological reactions to stress in workplace settings. Lab studies tend to focus on assessing sensors during a specific computer task, while in situ studies tend to offer a generalized view of sensors' efficacy for workplace stress monitoring, without discriminating different tasks. Given the variation in workplace computer activities, this study investigates the efficacy of unobtrusive sensors for stress measurement across a variety of tasks. We present a comparison of five physiological measurements obtained in a lab experiment, where participants completed six different computer tasks, while we measured their stress levels using a chest-band (ECG, respiration), a wristband (PPG and EDA), and an emerging thermal imaging method (perinasal perspiration). We found that thermal imaging can detect increased stress for most participants across all tasks, while wrist and chest sensors were less generalizable across tasks and participants. We summarize the costs and benefits of each sensor stream, and show how some computer use scenarios present usability and reliability challenges for stress monitoring with certain physiological sensors. We provide recommendations for researchers and system builders for measuring stress with physiological sensors during workplace computer use.