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

Usability of Apps and User Perceptions of mHealth (1188) Ecological Momentary Assessment (EMA) (405) mHealth for Wellness, Behavior Change and Prevention (3315) Behavior Change (863)

Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18609, first published .
A Smartphone-Based Technique to Detect Dynamic User Preferences for Tailoring Behavioral Interventions: Observational Utility Study of Ecological Daily Needs Assessment

A Smartphone-Based Technique to Detect Dynamic User Preferences for Tailoring Behavioral Interventions: Observational Utility Study of Ecological Daily Needs Assessment

A Smartphone-Based Technique to Detect Dynamic User Preferences for Tailoring Behavioral Interventions: Observational Utility Study of Ecological Daily Needs Assessment

Authors of this article:

Ginger E Nicol1 Author Orcid Image ;   Amanda R Ricchio1 Author Orcid Image ;   Christopher L Metts2 Author Orcid Image ;   Michael D Yingling1 Author Orcid Image ;   Alex T Ramsey3 Author Orcid Image ;   Julia A Schweiger1 Author Orcid Image ;   J Philip Miller4 Author Orcid Image ;   Eric J Lenze1 Author Orcid Image
Article Authors Cited by (9) Tweetations Metrics

Journals

  1. Emerson M, Harsh Caspari J, Notice M, Watanabe-Galloway S, Dinkel D, Kabayundo J. Mental health mobile app use: Considerations for serving underserved patients in integrated primary care settings. General Hospital Psychiatry 2021;69:67 View
  2. Flaherty S, McCarthy M, Collins A, McCafferty C, McAuliffe F. Exploring engagement with health apps: the emerging importance of situational involvement and individual characteristics. European Journal of Marketing 2021;55(13):122 View
  3. Tong H, Quiroz J, Kocaballi A, Ijaz K, Coiera E, Chow C, Laranjo L. A personalized mobile app for physical activity: An experimental mixed-methods study. DIGITAL HEALTH 2022;8:205520762211150 View
  4. Keenoy K, Lenze E, Nicol G. Going remote: Implementing digital research methods at an academic medical center during COVID-19. Journal of Clinical and Translational Science 2021;5(1) View
  5. Schweiger A, Rodebaugh T, Lenze E, Keenoy K, Hassenstab J, Kloeckner J, Gettinger T, Nicol G. Mindfulness Training for Depressed Older Adults Using Smartphone Technology: Protocol for a Fully Remote Precision Clinical Trial. JMIR Research Protocols 2022;11(10):e39233 View
  6. Nicol G, Jansen M, Ricchio A, Schweiger J, Keenoy K, Miller J, Morrato E, Guo Z, Evanoff B, Parks J, Newcomer J. Adaptation of a Mobile Interactive Obesity Treatment Approach for Early Severe Mental Illness: Protocol for a Mixed Methods Implementation and Pilot Randomized Controlled Trial. JMIR Research Protocols 2023;12:e42114 View
  7. Hewage S, Senanayake S, Brain D, Allen M, McPhail S, Parsonage W, Walters T, Kularatna S. Preferences for Mobile App Features to Support People Living With Chronic Heart Diseases: Discrete Choice Study. JMIR mHealth and uHealth 2025;13:e58556 View
  8. Nicol G, Adams D, Lenze E, Cabassa L. Shrinking the know–do gap in psychedelic-assisted therapy. Nature Human Behaviour 2025;9(4):665 View
  9. Bendsen S, Skinner T, O’Reilly S, Rey Velasco E, Heltberg M, Laursen D. Exploring engagement patterns within a mobile health intervention for women at risk of gestational diabetes. Women's Health 2025;21 View