A smartphone-based technique to detect dynamic user preferences for tailoring behavioral interventions: Observational utility study of ecological daily needs assessment

Authors

Ginger E Nicol, Washington University School of Medicine in St. Louis
Amanda R Ricchio, Washington University School of Medicine in St. Louis
Christopher L Metts, Medical University of South Carolina
Michael D Yingling, Washington University School of Medicine in St. Louis
Alex T Ramsey, Washington University School of Medicine in St. Louis
Julia A Schweiger, Washington University School of Medicine in St. Louis
J Philip Miller, Washington University School of Medicine in St. Louis
Eric J Lenze, Washington University School of Medicine in St. Louis

Journal

JMIR Mhealth Uhealth

Publication Date

2020

Volume

8

Issue

11

First Page

18609

Last Page

18609

Document Type

Open Access Publication

DOI

10.2196/18609

Rights and Permissions

Nicol GE, Ricchio AR, Metts CL, et al. A Smartphone-Based Technique to Detect Dynamic User Preferences for Tailoring Behavioral Interventions: Observational Utility Study of Ecological Daily Needs Assessment. JMIR Mhealth Uhealth. 2020;8(11):e18609. Published 2020 Nov 13. doi:10.2196/18609. Licensed under Creative Commons Attribution cc-by 2.0

Recommended Citation

Nicol, Ginger E; Ricchio, Amanda R; Metts, Christopher L; Yingling, Michael D; Ramsey, Alex T; Schweiger, Julia A; Miller, J Philip; and Lenze, Eric J, "A smartphone-based technique to detect dynamic user preferences for tailoring behavioral interventions: Observational utility study of ecological daily needs assessment." JMIR Mhealth Uhealth. 8, 11. 18609 - 18609. (2020).
https://digitalcommons.wustl.edu/open_access_pubs/9961