WellBeat
A Framework for Tracking Daily Well-being Using Smartwatches
Sungkyu Park (Korea Advanced Institute of Science and Technology)
Marios Constantinides (Nokia Bell Labs)
Luca Maria Aiello (Nokia Bell Labs)
Daniele Quercia (Nokia Bell Labs)
P. Van Gent (TU Delft - Transport and Planning)
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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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