Pantzar Mika, Ruckenstein Minna, Mustonen Veera
Faculty of Social Sciences, Consumer Society Research Centre, University of Helsinki , Helsinki , Finland.
Forum Virium Helsinki , Helsinki , Finland.
Health Sociol Rev. 2017 Jan 2;26(1):22-37. doi: 10.1080/14461242.2016.1184580. Epub 2016 Jun 2.
A long-term research focus on the temporality of everyday life has become revitalised with new tracking technologies that allow methodological experimentation and innovation. This article approaches rhythms of daily lives with heart-rate variability measurements that use algorithms to discover physiological stress and recovery. In the spirit of the 'social life of methods' approach, we aggregated individual data ( = 35) in order to uncover temporal rhythms of daily lives. The visualisation of the aggregated data suggests both daily and weekly patterns. Daily stress was at its highest in the mornings and around eight o'clock in the evening. Weekend stress patterns were dissimilar, indicating a stress peak in the early afternoon especially for men. In addition to discussing our explorations using quantitative data, the more general aim of the article is to explore the potential of new digital and mobile physiological tracking technologies for contextualising the individual in the everyday.
对日常生活时间性的长期研究因新的追踪技术而重新焕发生机,这些技术允许进行方法学实验与创新。本文通过心率变异性测量来研究日常生活节奏,该测量使用算法来发现生理压力和恢复情况。本着“方法的社会生活”方法的精神,我们汇总了个体数据(n = 35),以揭示日常生活的时间节奏。汇总数据的可视化显示了每日和每周的模式。日常压力在早上和晚上八点左右最高。周末的压力模式不同,表明尤其是男性在下午早些时候压力达到峰值。除了讨论我们使用定量数据的探索之外,本文更普遍的目的是探索新的数字和移动生理追踪技术在将个体置于日常情境中的潜力。