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.

WellBeat: A Framework for Tracking Daily Well-Being Using Smartwatches / Park, Sungkyu; Constantinides, Marios; Aiello, Luca Maria; Quercia, Daniele; Van Gent, Paul. - In: IEEE INTERNET COMPUTING. - ISSN 1089-7801. - 24:5(2020), pp. 10-17. [10.1109/mic.2020.3017867]

WellBeat: A Framework for Tracking Daily Well-Being Using Smartwatches

Quercia, Daniele;
2020

Abstract

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2996135