Recent research indicates balance is vital to health and well-being, however humans experience stress and imbalances through lack of attention to mental and physical states when meeting work and life demands. This research proposes to improve health and wellbeing in individuals through awareness of their personal rhythms, which are repeated cycles of internal and external events including biological, mental, social, and environmental. The investigators seek to design and evaluate a data analytic and modeling method to make users aware of potential activities at any given time that align with their biological clock, achieving higher performance in life and work without invoking stress-related disorders. The work leverages advances in wearable devices, sensing technology, and online sources to proactively collect and analyze physiological, psychological, behavioral, social, and environmental data to identify personal rhythms, to explore their relationship to positive physical, mental, and behavioral outcomes, and to provide people with tools to reason about these relationships and to improve outcomes. This research highlights the positive performance and outcomes resulting from integrating personal rhythms into individuals’ daily lives.
Contact
If you feel like your skills and interests are aligned with this project, please reach out to
Matt Clark
to get involved!
Publications
2024
Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study
Runze Yan, Xinwen Liu, Janine M Dutcher, Michael J Tumminia, Daniella Villalba, …, John D Creswell, Kasey Creswell, Jennifer Mankoff, Anind K Dey, Afsaneh Doryab
JMIR AI
·
18 Apr 2024
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doi:10.2196/47194
2023
2022
A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams
Runze Yan, Xinwen Liu, Janine Dutcher, Michael Tumminia, Daniella Villalba, …, David Creswell, Kasey Creswell, Jennifer Mankoff, Anind Dey, Afsaneh Doryab
ACM Transactions on Intelligent Systems and Technology
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03 Mar 2022
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doi:10.1145/3510029
2021
2020
CoRhythMo: A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams
Runze Yan, Xinwen Liu, Janine M Dutcher, Michael J Tumminia, Daniella Villalba, …, David Creswell, Kasey Creswell, Jennifer Mankoff, Anind K Dey, Afsaneh Doryab
Cold Spring Harbor Laboratory
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10 Aug 2020
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doi:10.1101/2020.08.10.244020
2019
Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data
Afsaneh Doryab, Daniella K Villalba, Prerna Chikersal, Janine M Dutcher, Michael Tumminia, …, Sheldon Cohen, Kasey Creswell, Jennifer Mankoff, John D Creswell, Anind K Dey
JMIR mHealth and uHealth
·
24 Jul 2019
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doi:10.2196/13209
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