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.
Original language | English |
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Article number | 9171435 |
Pages (from-to) | 10-17 |
Number of pages | 8 |
Journal | IEEE Internet Computing |
Volume | 24 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2020 |
Keywords
- Biomedical monitoring
- Heart rate variability
- Internet
- O.1 Affect sensing and analysis
- O.2 Modeling human emotion
- O.6.1 Methods of data collection
- Pipelines
- Sensors