A research lab using mobile health technologies. 


Our lab uses ecological momentary assessments (EMAs), passive sensor data, and just-in-time adaptive interventions (JITAI) to improve understanding of relationships between environment, thoughts, feelings, and health behaviors.




Researchers at OU test app to help

manage anxiety, depression amid the pandemic

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April 2021 

Using machine learning to identify predictors of imminent drinking and create tailored messages for at-risk drinkers experiencing homelessness

Scott T. Walters, Michael S. Businelle, Robert Suchting, Xiaoyin Lia, Emily T. Hébert, Eu-n-Young Muna

This study used machine learning techniques to create a drinking risk algorithm that predicted 82% of imminent drinking episodes within 4 hours of the first drink of the day, and correctly identified 76% of nondrinking episodes. 

April 2021 

Examining moment to moment affective determinants of smoking rate following a quit attempt among homeless daily smokers

Elaine J.Savoy, Michael S. Businelle, Nga Nguyen, Tzu-An Chen, Clayton Neighbors, Peter J. Norton, Matthew Tainge, Lorraine R. Reitzel

April 2021 

Assessment of Symptoms Around the Clock: Implications for Addiction and Other Neuropsychiatric Diseases

Karen Gamble, Michael Businelle, Chaelin Karen Ra, Karen Cropsey


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