Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22218, first published .
Predicting Participant Compliance With Fitness Tracker Wearing and Ecological Momentary Assessment Protocols in Information Workers: Observational Study

Predicting Participant Compliance With Fitness Tracker Wearing and Ecological Momentary Assessment Protocols in Information Workers: Observational Study

Predicting Participant Compliance With Fitness Tracker Wearing and Ecological Momentary Assessment Protocols in Information Workers: Observational Study

Gonzalo J Martinez 1, MSc;  Stephen M Mattingly 1, PhD;  Pablo Robles-Granda 2, PhD;  Koustuv Saha 3, 4, PhD;  Anusha Sirigiri 5, PhD;  Jessica Young 6, MSc;  Nitesh Chawla 1, PhD;  Munmun De Choudhury 4, PhD;  Sidney D'Mello 7, PhD;  Gloria Mark 8, PhD;  Aaron Striegel 1, PhD

1 Computer Science and Engineering, University of Notre Dame , Notre Dame, IN, US

2 Thomas M Siebel Center for Computer Science, University of Illinois Urbana-Champaign , Urbana, IL, US

3 Microsoft Research , Montreal, QC, CA

4 School of Interactive Computing, Georgia Institute of Technology , Atlanta, GA, US

5 Indian School of Business Gachibowli , Hyderabad Telangana , IN

6 Center for Research Computing, University of Notre Dame , Notre Dame, IN, US

7 Institute of Cognitive Science, University of Colorado Boulder , Boulder, CO, US

8 Informatics Department, University of California, Irvine , Irvine, CA, US

Corresponding Author:

  • Gonzalo J Martinez, MSc
  • Computer Science and Engineering
  • University of Notre Dame
  • 400 Main Building
  • Notre Dame, IN
  • US
  • Phone: 1 574 631 5000
  • Email: gmarti11@nd.edu