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

Depression and Mood Disorders; Suicide Prevention (1691) Methods and New Tools in Mental Health Research (558) Mobile Health in Psychiatry (527) Users' and Patients' Needs for Mental Health Services (502) Mobile Health (mhealth) (3464) Focus Groups and Qualitative Research for Human Factors Research (1220) Usability of Apps and User Perceptions of mHealth (1188) Diagnostic Tools in Mental Health (326) mHealth for Wellness, Behavior Change and Prevention (3315) Affective Computing (9)

Published on in Vol 8, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29368, first published .
Understanding People’s Use of and Perspectives on Mood-Tracking Apps: Interview Study

Understanding People’s Use of and Perspectives on Mood-Tracking Apps: Interview Study

Understanding People’s Use of and Perspectives on Mood-Tracking Apps: Interview Study

Authors of this article:

Stephen M Schueller1, 2 Author Orcid Image ;   Martha Neary1 Author Orcid Image ;   Jocelyn Lai1 Author Orcid Image ;   Daniel A Epstein2 Author Orcid Image
Article Authors Cited by (53) Tweetations (40) Metrics

Journals

  1. 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
  2. O'Leary T, Torous J. Smartphone apps for eating disorders: An overview of the marketplace and research trends. International Journal of Eating Disorders 2022;55(5):625 View
  3. Funnell E, Spadaro B, Martin-Key N, Metcalfe T, Bahn S. mHealth Solutions for Mental Health Screening and Diagnosis: A Review of App User Perspectives Using Sentiment and Thematic Analysis. Frontiers in Psychiatry 2022;13 View
  4. Balaskas A, Schueller S, Cox A, Doherty G. Understanding users’ perspectives on mobile apps for anxiety management. Frontiers in Digital Health 2022;4 View
  5. Balaskas A, Schueller S, Cox A, Rashleigh C, Doherty G, Tizzoni M. Examining young adults daily perspectives on usage of anxiety apps: A user study. PLOS Digital Health 2023;2(1):e0000185 View
  6. Xie E, Simpson K, Reynolds K, Giuliano R, Protudjer J, Soderstrom M, Sauer-Zavala S, Giesbrecht G, Lebel C, Mackinnon A, Rioux C, Penner-Goeke L, Freeman M, Salisbury M, Tomfohr-Madsen L, Roos L. Building Emotional Awareness and Mental Health (BEAM): study protocol for a phase III randomized controlled trial of the BEAM app-based program for mothers of children 18–36 months. Trials 2022;23(1) View
  7. Hutmacher F, Schläger L, Meerson R. Autobiographical memory in the digital age: Insights based on the subjective reports of users of smart journaling apps. Applied Cognitive Psychology 2023;37(4):686 View
  8. Funnell E, Spadaro B, Benacek J, Martin-Key N, Metcalfe T, Olmert T, Barton-Owen G, Bahn S. Learnings from user feedback of a novel digital mental health assessment. Frontiers in Psychiatry 2022;13 View
  9. Shkel J, Green G, Le S, Kaveladze B, Marcotte V, Rushton K, Nguyen T, Schueller S. Understanding Users’ Experiences of a Novel Web-Based Cognitive Behavioral Therapy Platform for Depression and Anxiety: Qualitative Interviews From Pilot Trial Participants. JMIR Formative Research 2023;7:e46062 View
  10. Jafarlou S, Lai J, Azimi I, Mousavi Z, Labbaf S, Jain R, Dutt N, Borelli J, Rahmani A. Objective Prediction of Next-Day’s Affect Using Multimodal Physiological and Behavioral Data: Algorithm Development and Validation Study. JMIR Formative Research 2023;7:e39425 View
  11. Joyce K, Rioux C, MacKinnon A, Katz L, Reynolds K, Kelly L, Klassen T, Afifi T, Mushquash A, Clement F, Chartier M, Xie E, Penner K, Hunter S, Berard L, Tomfohr-Madsen L, Roos L. The Building Emotional Awareness and Mental health (BEAM) program developed with a community partner for mothers of infants: protocol for a feasibility randomized controlled trial. Pilot and Feasibility Studies 2023;9(1) View
  12. 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 2024;40(19):5857 View
  13. Manning J, Blandford A, Edbrooke-Childs J. High School Teachers’ Experiences of Consumer Technologies for Stress Management During the COVID-19 Pandemic: Qualitative Study. JMIR Formative Research 2023;7:e50460 View
  14. Jørgensen S, Petersen E, Harnow S, Lee K, Nørgaard B. The meaning that people with severe mental illnesses ascribe to e‐health in encounters with healthcare professionals – A repeat interview study. International Journal of Mental Health Nursing 2024;33(1):62 View
  15. Beltzer M, Meyerhoff J, Popowski S, Mohr D, Kornfield R. Mental Health Self-Tracking Preferences of Young Adults With Depression and Anxiety Not Engaged in Treatment: Qualitative Analysis. JMIR Formative Research 2023;7:e48152 View
  16. Wieczorek K, Targonskaya A, Maslowski K. Reproductive Hormones and Female Mental Wellbeing. Women 2023;3(3):432 View
  17. Scherenberg V. Psychische Gesundheit via Mood-Tracking?. Public Health Forum 2023;31(3):234 View
  18. Maccaro A, Pagliara S, Zarro M, Piaggio D, Abdulsalami F, Su W, Haleem M, Pecchia L. Ethics and biomedical engineering for well-being: a cocreation study of remote services for monitoring and support. Scientific Reports 2023;13(1) View
  19. Bautista J, Liu M, Alvarez M, Schueller S. Multi-Media Field Test: Cognitive-Behavioral Therapy at Our Fingertips: Sanvello Provides On-Demand Support for Mental Health. Cognitive and Behavioral Practice 2025;32(2):206 View
  20. Funnell E, Spadaro B, Martin-Key N, Benacek J, Bahn S. Perception of Apps for Mental Health Assessment With Recommendations for Future Design: United Kingdom Semistructured Interview Study. JMIR Formative Research 2024;8:e48881 View
  21. Larsen E, Murton O, Song X, Joachim D, Watts D, Kapczinski F, Venesky L, Hurowitz G. Validating the efficacy and value proposition of mental fitness vocal biomarkers in a psychiatric population: prospective cohort study. Frontiers in Psychiatry 2024;15 View
  22. Nexha A, Pilz L, Oliveira M, Xavier N, Borges R, Frey B, Hidalgo M. Greater within- and between-day instability is associated with worse anxiety and depression symptoms. Journal of Affective Disorders 2024;356:215 View
  23. Murray A, Xie T, Power L, Condon L. Recruitment and retention of adolescents for an ecological momentary assessment measurement burst mental health study: The MHIM engagement strategy. Health Expectations 2024;27(3) View
  24. Funnell E, Martin-Key N, Benacek J, Spadaro B, Bahn S. Preferences for and intention to use an app for premenstrual mental health symptoms using the Health Behaviour Model (HBM). npj Women's Health 2024;2(1) View
  25. Catania J, Beaver S, Kamath R, Worthington E, Lu M, Gandhi H, Waters H, Malone D. Evaluation of Digital Mental Health Technologies in the United States: Systematic Literature Review and Framework Synthesis. JMIR Mental Health 2024;11:e57401 View
  26. Reen J, Chan G, Orji R. iCare: Insights from the Evaluation of an App for Managing Stress Among Working-Class Indian Women. International Journal of Human–Computer Interaction 2025;41(9):5797 View
  27. Linardon J, Firth J, Torous J, Messer M, Fuller-Tyszkiewicz M. Efficacy of mental health smartphone apps on stress levels: a meta-analysis of randomised controlled trials. Health Psychology Review 2024;18(4):839 View
  28. Manning J, Blandford A, Edbrooke-Childs J. Facilitators of and Barriers to Teachers’ Engagement With Consumer Technologies for Stress Management: Qualitative Study. Journal of Medical Internet Research 2024;26:e50457 View
  29. Martin-Key N, Funnell E, Benacek J, Spadaro B, Bahn S. Intention to Use a Mental Health App for Menopause: Health Belief Model Approach. JMIR Formative Research 2024;8:e60434 View
  30. Walschots Q, Zarchev M, Unkel M, Kamperman A. Using Wearable Technology to Detect, Monitor, and Predict Major Depressive Disorder—A Scoping Review and Introductory Text for Clinical Professionals. Algorithms 2024;17(9):408 View
  31. Rohde J, Marciniak M, Henninger M, Homan S, Ries A, Paersch C, Friedman O, Brown A, Kleim B, oi k. Effects of a digital self-efficacy training in stressed university students: A randomized controlled trial. PLOS ONE 2024;19(10):e0305103 View
  32. Boege S, Milne-Ives M, Ananthakrishnan A, Cong C, Sharma A, Anderson D, Meinert E. Mental Health Monitoring for Young People Through Mood Apps: Protocol for a Scoping Review and Systematic Search in App Stores. JMIR Research Protocols 2024;13:e56400 View
  33. Priyam Jyoti Das , Pdiangmon Kyndait , Sungjemrenla I Jamir , Dhiraj Baishya , Juganta Kumar Kalita , Lobsang Tenzing Komu . The Role of Technology in Mental Health: Evaluating Digital Interventions for Psychological Well-being. International Journal of Scientific Research in Science and Technology 2024;11(6):366 View
  34. Li S, Liu X. Exploring the Influencing Factors of Carbon Footprint Tracking Application Usage Intention: A Combined UTAUT and NAM Approach. IEEE Access 2025;13:316 View
  35. Bangamuarachchi W, Chamantha A, Meegahapola L, Kim H, Ruiz-Correa S, Perera I, Gatica-Perez D. Inferring Mood-While-Eating with Smartphone Sensing and Community-Based Model Personalization. ACM Transactions on Computing for Healthcare 2025;6(3):1 View
  36. Lai J, Eckland N, Thompson R. When and why people do NOT regulate their emotions: examining the reasons and contexts. Cognition and Emotion 2025:1 View
  37. Blomqvist A, Strömberg A, Lundberg M, Bäck M, Jaarsma T, Klompstra L, Hasan N. Exploring user experience: A qualitative analysis of the use of a physical activity support app for people with heart failure. PLOS One 2025;20(5):e0309577 View
  38. Fujihara S, Wakui T, Tsuji T, Moriyama Y, Nakagawa T, Obuchi S, Awata S, Kai I. Effect of Self‐Quantification on Caregiver Burden and Depression Among Family Caregivers: A SWING‐Japan Study. Psychogeriatrics 2025;25(4) View
  39. Joseph J. The algorithmic self: how AI is reshaping human identity, introspection, and agency. Frontiers in Psychology 2025;16 View
  40. Kim M, Park J, Park S, Chung K, Cho H, Do G, Jhung K. Effectiveness of a Mindfulness-Based Mobile Intervention for Improving Perinatal Mental Health and Reducing Depression During Pregnancy: Randomized Controlled Trial. Journal of Medical Internet Research 2025;27:e75630 View
  41. Vos L, Juengst S, Leon-Novelo L, Liu X, Perna R, Williams M, Wisinger A, Broomfield R, Nwana O, Aguirre C, Sherer M. The Impact of Tracking Mood on Emotional Quality of Life: A Secondary Analysis of the Randomized Controlled Trial of Mood Tracker. Journal of Head Trauma Rehabilitation 2025 View

Books/Policy Documents

  1. Chan G, Alslaity A, Wilson R, Rajeshsingh P, Orji R. Intelligent Systems and Applications. View
  2. Goodings L, Ellis D, Tucker I. Understanding Mental Health Apps. View

Conference Proceedings

  1. Filiana A, Anggia Rini M, Prabawati A. 2023 9th International HCI and UX Conference in Indonesia (CHIuXiD). Mood Tracking Apps from the Perspectives of Indonesian Students: A Qualitative Analysis View
  2. Silva L, Cibrian F, Bonang C, Bhattacharya A, Min A, Monteiro E, Beltran J, Schuck S, Lakes K, Hayes G, Epstein D. Proceedings of the CHI Conference on Human Factors in Computing Systems. Co-Designing Situated Displays for Family Co-Regulation with ADHD Children View
  3. Cooney O, Doherty K, Barry M, Coyle D, Doherty G, Cowan B. ACM Conversational User Interfaces 2024. Using Speech Agents for Mood Logging within Blended Mental Healthcare: Mental Healthcare Practitioners' Perspectives View
  4. Wibowo B, Santosa P, Ishaq Alfarozi S. 2024 International Conference on Information Technology and Computing (ICITCOM). A Survey Study of Strategies for Improving User Interface in Mental Health View
  5. Cheng N, Wong N, Reddy M. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Understanding Mental Wellbeing and Tools for Support with Taiwanese Emerging Adults: An Eastern Cultural Perspective View
  6. Chen Z, Lu M, Zhao M, Luo G, Withey B, Yong S, Shin J. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Empowering Farming Communities Through Information Tracking: A Design Approach to Crop Planning and Management View
  7. Jin S, Kim B, Han K. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. "I Don't Know Why I Should Use This App": Holistic Analysis on User Engagement Challenges in Mobile Mental Health View
  8. Phairoh K, Suchato A, Punyabukkana P. 2025 22nd International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). CRAFTJAI: LLM-Enhanced Generative AI for Gamified Mood Journals View
  9. Heydarian P, Bowen J, Hinze A, Konig J. Proceedings of the 37th Australian Conference on Human-Computer Interaction. Interactive Mood Mapping: A Playful Tabletop Game for Shared Environments View
  10. di Bona K, Ijaz K, Ahmadpour N. Proceedings of the 37th Australian Conference on Human-Computer Interaction. "AI that’s so good it almost seems human:" Risk and Hype Cycles of AI and Chatbots in Mobile Mental Health Apps View