Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors
August 04, 2020 Β· Declared Dead Β· π International Conference on Social, Cultural, and Behavioral Modeling
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Authors
Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman
arXiv ID
2008.01723
Category
cs.HC: Human-Computer Interaction
Citations
12
Venue
International Conference on Social, Cultural, and Behavioral Modeling
Last Checked
4 months ago
Abstract
Life events can dramatically affect our psychological state and work performance. Stress, for example, has been linked to professional dissatisfaction, increased anxiety, and workplace burnout. We explore the impact of positive and negative life events on a number of psychological constructs through a multi-month longitudinal study of hospital and aerospace workers. Through causal inference, we demonstrate that positive life events increase positive affect, while negative events increase stress, anxiety and negative affect. While most events have a transient effect on psychological states, major negative events, like illness or attending a funeral, can reduce positive affect for multiple days. Next, we assess whether these events can be detected through wearable sensors, which can cheaply and unobtrusively monitor health-related factors. We show that these sensors paired with embedding-based learning models can be used ``in the wild'' to capture atypical life events in hundreds of workers across both datasets. Overall our results suggest that automated interventions based on physiological sensing may be feasible to help workers regulate the negative effects of life events.
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