Journal article
Dhanya Sridhar, Aaron Springer, Victoria Hollis, S. Whittaker, L. Getoor
2018
2018
Semantic Scholar
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APA
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Sridhar, D., Springer, A., Hollis, V., Whittaker, S., & Getoor, L. (2018). Estimating Causal Effects of Exercise from Mood Logging Data.
Chicago/Turabian
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Sridhar, Dhanya, Aaron Springer, Victoria Hollis, S. Whittaker, and L. Getoor. “Estimating Causal Effects of Exercise from Mood Logging Data” (2018).
MLA
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Sridhar, Dhanya, et al. Estimating Causal Effects of Exercise from Mood Logging Data. 2018.
BibTeX Click to copy
@article{dhanya2018a,
title = {Estimating Causal Effects of Exercise from Mood Logging Data},
year = {2018},
author = {Sridhar, Dhanya and Springer, Aaron and Hollis, Victoria and Whittaker, S. and Getoor, L.}
}
Abstract
Mood and activity logging applications empower users to monitor their daily well-being and make informed health choices. To provide users with useful feedback that can improve quality of life, a critical task is understanding the causal effects of daily activities on mood and other wellness markers. In this work, we analyze observational data from EmotiCal, a recently developed moodlogging web application, to explore the effects of exercise on mood. We investigate several methodological choices for estimating the conditional average treatment effect, and highlight a novel use of textual data to improve the significance of our results.
