@conference {330, title = {Estimating Causal Effects of Exercise from Mood Logging Data}, booktitle = {ICML Workshop on Causal Machine Learning (CausalML)}, year = {2018}, 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 mood-logging 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.

}, author = {Dhanya Sridhar and Aaron Springer and Victoria Hollis and Steve Whittaker and Lise Getoor} }