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

Applications of AI (104) Artificial Intelligence (1421)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47194, first published .
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

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 Tweetations (4) Metrics

Runze Yan   1 , PhD ;   Xinwen Liu   2 , MS ;   Janine M Dutcher   2 , PhD ;   Michael J Tumminia   3 , PhD ;   Daniella Villalba   2 , PhD ;   Sheldon Cohen   2 , PhD ;   John D Creswell   2 , PhD ;   Kasey Creswell   2 , PhD ;   Jennifer Mankoff   4 , PhD ;   Anind K Dey   4 , PhD ;   Afsaneh Doryab   1 , PhD

1 University of Virginia, Charlottesville, VA, United States

2 Carnegie Mellon University, Pittsburgh, PA, United States

3 University of Pittsburgh, Pittsburgh, PA, United States

4 University of Washington, Seattle, WA, United States

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