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

Formative Evaluation of Digital Health Interventions (2414) Mobile Health (mhealth) (2941) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (374) mHealth for Wellness, Behavior Change and Prevention (2872) Mobile Health in Psychiatry (427)

Published on in Vol 6, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31730, first published .
Toward Research-Informed Design Implications for Interventions Limiting Smartphone Use: Functionalities Review of Digital Well-being Apps

Toward Research-Informed Design Implications for Interventions Limiting Smartphone Use: Functionalities Review of Digital Well-being Apps

Toward Research-Informed Design Implications for Interventions Limiting Smartphone Use: Functionalities Review of Digital Well-being Apps

Authors of this article:

Sultan Almoallim1 Author Orcid Image ;   Corina Sas1 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

Journals

  1. Vera Cruz G, Aboujaoude E, Khan R, Rochat L, Ben Brahim F, Courtois R, Khazaal Y. Smartphone apps for mental health and wellbeing: A usage survey and machine learning analysis of psychological and behavioral predictors. DIGITAL HEALTH 2023;9 View
  2. Rahmillah F, Tariq A, King M, Oviedo-Trespalacios O. Evaluating the Effectiveness of Apps Designed to Reduce Mobile Phone Use and Prevent Maladaptive Mobile Phone Use: Multimethod Study. Journal of Medical Internet Research 2023;25:e42541 View
  3. Dubiel M, Leiva L, Bongard-Blanchy K, Sergeeva A. “Hey Genie, You Got Me Thinking about My Menu Choices!” Impact of Proactive Feedback on User Perception and Reflection in Decision-making Tasks. ACM Transactions on Computer-Human Interaction 2024;31(5):1 View
  4. Alenazi M, Sas C. Creating and Managing Transactions and Budgets: Analysis of Marketplace Descriptions and Functionality Review of Budgeting Apps. Interacting with Computers 2024 View
  5. Khan N, Khan M. Analyzing User Reviews on Digital Detox Apps: A Text Mining and Sentiment Analysis Approach. Journal of Consumer Behaviour 2024 View