Accessibility settings

This paper is in the following e-collection/theme issue:

Applications of AI (965) Artificial Intelligence (4773)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47194, first published .
Person checking smart watch on wrist with blank screen

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

Authors of this article:

Runze Yan1 Author Orcid Image ;   Xinwen Liu2 Author Orcid Image ;   Janine M Dutcher2 Author Orcid Image ;   Michael J Tumminia3 Author Orcid Image ;   Daniella Villalba2 Author Orcid Image ;   Sheldon Cohen2 Author Orcid Image ;   John D Creswell2 Author Orcid Image ;   Kasey Creswell2 Author Orcid Image ;   Jennifer Mankoff4 Author Orcid Image ;   Anind K Dey4 Author Orcid Image ;   Afsaneh Doryab1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Zhao C, Cardei M, Clark M, Yan R, Doryab A. Biobehavioral Rhythms in Everyday Life: Data and Models for Capturing Cyclic Behavior in Naturalistic Settings. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2025;9(4):1 View
  2. Yunusova A, Huang C, Price S, Joshi K, Dutcher J, Brown K, Villalba D, Tumminia M, Creswell K, Cohen S, Creswell J. Depression trajectories and their associations with academic performance and sleep patterns among first-year college students. BMC Psychology 2026;14(1) View