Human-AI Technology Lab at UVA

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
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  ·  doi:10.2196/47194

2023

Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics
Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics
Jingyi Gao, Runze Yan, Afsaneh Doryab
2023 International Conference on Machine Learning and Applications (ICMLA)  ·  15 Dec 2023  ·  doi:10.1109/ICMLA58977.2023.00045
Personalization in Circadian Rhythm-Based Event Scheduling
Personalization in Circadian Rhythm-Based Event Scheduling
Prachi Sadekar, Jackson Baitinger, Sean Conway, Matthew Clark, Afsaneh Doryab
2023 Systems and Information Engineering Design Symposium (SIEDS)  ·  27 Apr 2023  ·  doi:10.1109/SIEDS58326.2023.10137806

2022

A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams
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  ·  03 Mar 2022  ·  doi:10.1145/3510029

2021

Daily Trajectory Prediction Using Temporal Frequent Pattern Tree
Daily Trajectory Prediction Using Temporal Frequent Pattern Tree
Mingyi Cai, Runze Yan, Afsaneh Doryab
Lecture Notes in Networks and Systems  ·  17 Sep 2021  ·  doi:10.1007/978-981-16-2380-6_29
Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams
Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams
Runze Yan, Afsaneh Doryab
Lecture Notes in Networks and Systems  ·  07 Aug 2021  ·  doi:10.1007/978-3-030-82199-9_44

2020

CoRhythMo: A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams
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  ·  10 Aug 2020  ·  doi:10.1101/2020.08.10.244020
Modeling Biological Rhythms to Predict Mental and Physical Readiness
Modeling Biological Rhythms to Predict Mental and Physical Readiness
Ben Carper, Dillon McGowan, Samantha Miller, Joe Nelson, Leah Palombi, Lina Romeo, Kayla Spigelman, Afsaneh Doryab
2020 Systems and Information Engineering Design Symposium (SIEDS)  ·  01 Apr 2020  ·  doi:10.1109/SIEDS49339.2020.9106683

2019

Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data
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  ·  doi:10.2196/13209
Modeling Biobehavioral Rhythms with Passive Sensing in the Wild
Modeling Biobehavioral Rhythms with Passive Sensing in the Wild
Afsaneh Doryab, Anind K. Dey, Grace Kao, Carissa Low
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  ·  29 Mar 2019  ·  doi:10.1145/3314395

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Past Contributors