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

Mobile Health (mhealth) (2936) New Methods (943) Wearable Devices and Sensors (887) Design and Usability of Consumer Health Tech and Home Monitoring Devices (218) Design and Formative Evaluation of Mobile Apps (693) Ecological Momentary Assessment (EMA) (309) mHealth for Data Collection and Research (954) Development and Evaluation of Research Methods, Instruments and Tools (478)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55694, first published .
Design Guidelines for Improving Mobile Sensing Data Collection: Prospective Mixed Methods Study

Design Guidelines for Improving Mobile Sensing Data Collection: Prospective Mixed Methods Study

Design Guidelines for Improving Mobile Sensing Data Collection: Prospective Mixed Methods Study

Authors of this article:

Christopher Slade1, 2 Author Orcid Image ;   Roberto M Benzo3, 4 Author Orcid Image ;   Peter Washington2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Christopher Slade   1, 2 , MS ;   Roberto M Benzo   3, 4 , MS, PhD ;   Peter Washington   2 , PhD

1 Computer Science Department, Brigham Young University—Hawaii, Laie, HI, United States

2 Information and Computer Sciences Department, University of Hawaii at Manoa, Honolulu, HI, United States

3 Division of Cancer Prevention & Control, Department of Internal Medicine, Wexner Medical Center, Ohio State University, Columbus, OH, United States

4 Arthur G James Cancer Hospital, The Ohio State University Comprehensive Cancer Center, Columbus, OH, United States

Corresponding Author:

  • Christopher Slade, MS
  • Computer Science Department
  • Brigham Young University—Hawaii
  • 55-220 Kulanui Street #1919
  • Laie, HI, 96762
  • United States
  • Phone: 1 8086753471
  • Email: christopher.slade@byuh.edu