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, United States

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

3 Microsoft Research, Montreal, QC, Canada

4 School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, United States

5 Indian School of Business Gachibowli, Hyderabad Telangana, India

6 Center for Research Computing, University of Notre Dame, Notre Dame, IN, United States

7 Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States

8 Informatics Department, University of California, Irvine, Irvine, CA, United States

Corresponding Author:

  • Gonzalo J Martinez, MSc
  • Computer Science and Engineering
  • University of Notre Dame
  • 400 Main Building
  • Notre Dame, IN, 46556
  • United States
  • Phone: 1 574 631 5000
  • Email: gmarti11@nd.edu