Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27106, first published .
Evaluation of Mood Check-in Feature for Participation in Meditation Mobile App Users: Retrospective Longitudinal Analysis

Evaluation of Mood Check-in Feature for Participation in Meditation Mobile App Users: Retrospective Longitudinal Analysis

Evaluation of Mood Check-in Feature for Participation in Meditation Mobile App Users: Retrospective Longitudinal Analysis

Journals

  1. Taylor G, Bylund C, Kastrinos A, Alpert J, Puig A, Krajewski J, Sharma B, Fisher C. Practicing Mindfulness through mHealth Applications: Emerging Adults’ Health-Enhancing and Inhibiting Experiences. International Journal of Environmental Research and Public Health 2022;19(5):2619 View
  2. Fowers R, Berardi V, Huberty J, Stecher C. Using mobile meditation app data to predict future app engagement: an observational study. Journal of the American Medical Informatics Association 2022;29(12):2057 View
  3. Eisenstadt M, Liverpool S, Infanti E, Ciuvat R, Carlsson C. Mobile Apps That Promote Emotion Regulation, Positive Mental Health, and Well-being in the General Population: Systematic Review and Meta-analysis. JMIR Mental Health 2021;8(11):e31170 View
  4. Kim S, Park J, Chung K. The Relationship Between the Big Five Personality Traits and the Theory of Planned Behavior in Using Mindfulness Mobile Apps: Cross-sectional Survey. Journal of Medical Internet Research 2022;24(11):e39501 View
  5. Eisenstadt A, Liverpool S, Metaxa A, Ciuvat R, Carlsson C. Acceptability, Engagement, and Exploratory Outcomes of an Emotional Well-being App: Mixed Methods Preliminary Evaluation and Descriptive Analysis. JMIR Formative Research 2021;5(11):e31064 View
  6. Melcher J, Patel S, Scheuer L, Hays R, Torous J. Assessing engagement features in an observational study of mental health apps in college students. Psychiatry Research 2022;310:114470 View
  7. Stecher C, Cloonan S, Linnemayr S, Huberty J. Combining Behavioral Economics–Based Incentives With the Anchoring Strategy: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2023;12:e39930 View
  8. Chan G, Alslaity A, Wilson R, Orji R. Feeling Moodie: Insights from a Usability Evaluation to Improve the Design of mHealth Apps. International Journal of Human–Computer Interaction 2023:1 View
  9. Zhu Z, Qin S, Dodd A, Conti M. Understanding the relationships between emotion regulation strategies and Big Five personality traits for supporting effective emotion regulation tools/interventions design. Advanced Design Research 2023;1(1):38 View
  10. Chang S, Alon N, Torous J. An exploratory analysis of the effect size of the mobile mental health Application, mindLAMP. DIGITAL HEALTH 2023;9 View
  11. Cearns M, Clark S. The Effects of Dose, Practice Habits, and Objects of Focus on Digital Meditation Effectiveness and Adherence: Longitudinal Study of 280,000 Digital Meditation Sessions Across 103 Countries. Journal of Medical Internet Research 2023;25:e43358 View
  12. Kermavnar T, Desmet P. Technology and Meditation: Exploring the Challenges and Benefits of a Physical Device to Support Meditation Routine. Multimodal Technologies and Interaction 2024;8(2):9 View
  13. Imashev A, Kydyrbekova A, Oralbayeva N, Kenzhekhan A, Sandygulova A. Learning sign language with mixed reality applications - the exploratory case study with deaf students. Education and Information Technologies 2024 View

Books/Policy Documents

  1. Chan G, Alslaity A, Wilson R, Rajeshsingh P, Orji R. Intelligent Systems and Applications. View