Predicting Participant Compliance With Fitness Tracker Wearing and Ecological Momentary Assessment Protocols in Information Workers: Observational Study.
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| Title: | Predicting Participant Compliance With Fitness Tracker Wearing and Ecological Momentary Assessment Protocols in Information Workers: Observational Study. |
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| Authors: | Martinez GJ; Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States., Mattingly SM; Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States., Robles-Granda P; Thomas M Siebel Center for Computer Science, University of Illinois Urbana-Champaign, Urbana, IL, United States., Saha K; Microsoft Research, Montreal, QC, Canada.; School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, United States., Sirigiri A; Indian School of Business Gachibowli, Hyderabad Telangana, India., Young J; Center for Research Computing, University of Notre Dame, Notre Dame, IN, United States., Chawla N; Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States., De Choudhury M; School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, United States., D'Mello S; Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States., Mark G; Informatics Department, University of California, Irvine, Irvine, CA, United States., Striegel A; Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States. |
| Source: | JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2021 Nov 12; Vol. 9 (11), pp. e22218. Date of Electronic Publication: 2021 Nov 12. |
| Publication Type: | Journal Article; Observational Study; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101624439 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-5222 (Electronic) Linking ISSN: 22915222 NLM ISO Abbreviation: JMIR Mhealth Uhealth Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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