Dhanya Sridhar - Estimating Causal Effects of Exercise from Mood

Journal article

Dhanya Sridhar, Aaron Springer, Victoria Hollis, S. Whittaker, L. Getoor
2018

Cite

APA Click to copy
Sridhar, D., Springer, A., Hollis, V., Whittaker, S., & Getoor, L. (2018). Estimating Causal Effects of Exercise from Mood Logging Data.

Chicago/Turabian Click to copy
Sridhar, Dhanya, Aaron Springer, Victoria Hollis, S. Whittaker, and L. Getoor. “Estimating Causal Effects of Exercise from Mood Logging Data” (2018).

MLA Click to copy
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.