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WellBeat: A Framework for Tracking Daily Well-being Using Smartwatches
IEEE Internet Computing ( IF 3.2 ) Pub Date : 2020-09-01 , DOI: 10.1109/mic.2020.3017867
Sungkyu Park 1 , Marios Constantinides 2 , Luca Maria Aiello 2 , Daniele Quercia 3 , Paul Van Gent 4
Affiliation  

Human physiology is a window to our physical, mental, and emotional states; our well-being. Today, a new wave of objective data derived from consumer grade body sensors—like those equipped by smartwatches—paves the way toward a new approach in how well-being is being measured, continuously and unobtrusively. Here, we developed a framework for collecting and analyzing physiological data using smartwatches in-the-wild, and demonstrated its robustness in data obtained away from controlled laboratory settings. We found that changes in people's heart rate and heart rate variability are predictive not of momentary well-being (a scientific idea that continues to live on in the absence of in-the-wild evidence, aka, zombie theory) but of daily well-being.

中文翻译:

WellBeat:使用智能手表跟踪日常幸福感的框架

人体生理机能是了解我们身体、精神和情绪状态的窗口;我们的幸福。今天,从消费级身体传感器(如智能手表配备的传感器)中获得的新一波客观数据为一种新方法铺平了道路,即持续且不引人注意地测量幸福感。在这里,我们开发了一个框架,用于在野外使用智能手表收集和分析生理数据,并证明了其从受控实验室环境中获得的数据的稳健性。我们发现,人们心率和心率变异性的变化不能预测一时的幸福感(一种在缺乏野外证据的情况下继续存在的科学思想,也就是僵尸理论),而是对日常健康的预测——存在。
更新日期:2020-09-01
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