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

Special Issue on Computing and Mental Health (2018) (33) Mobile Health (mhealth) (2971) mHealth for Wellness, Behavior Change and Prevention (2908) Depression and Mood Disorders; Suicide Prevention (1383) Wearable Devices and Sensors (898)

Published on in Vol 20, No 7 (2018): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10139, first published .
Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study

Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study

Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study

Authors of this article:

Jingbo Meng1 Author Orcid Image ;   Syed Ali Hussain1 Author Orcid Image ;   David C Mohr2 Author Orcid Image ;   Mary Czerwinski3 Author Orcid Image ;   Mi Zhang4 Author Orcid Image
Article Authors Cited by (15) Tweetations (18) Metrics

Journals

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  2. Ng A, Kornfield R, Schueller S, Zalta A, Brennan M, Reddy M. Provider Perspectives on Integrating Sensor-Captured Patient-Generated Data in Mental Health Care. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1 View
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  4. Borghouts J, Eikey E, Mark G, De Leon C, Schueller S, Schneider M, Stadnick N, Zheng K, Mukamel D, Sorkin D. Understanding Mental Health App Use Among Community College Students: Web-Based Survey Study. Journal of Medical Internet Research 2021;23(9):e27745 View
  5. Kruzan K, Reddy M, Washburn J, Mohr D. Developing a Mobile App for Young Adults with Nonsuicidal Self-Injury: A Prototype Feedback Study. International Journal of Environmental Research and Public Health 2022;19(23):16163 View
  6. Wang Z, Xiong H, Zhang J, Yang S, Boukhechba M, Zhang D, Barnes L, Dou D. From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. IEEE Internet of Things Journal 2022;9(17):15413 View
  7. Liu X, Guo Y, Xu Y. Risk factors and digital interventions for anxiety disorders in college students: Stakeholder perspectives. World Journal of Clinical Cases 2023;11(7):1442 View
  8. Kabir K, Wiese J. A Meta-Synthesis of the Barriers and Facilitators for Personal Informatics Systems. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(3):1 View
  9. Oewel B, Azizan N, Arean P, Agapie E. Technology's Role in Fostering Therapist-Client Collaboration and Engagement with Goals. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW2):1 View
  10. Adler D, Yang Y, Viranda T, Xu X, Mohr D, Van Meter A, Tartaglia J, Jacobson N, Wang F, Estrin D, Choudhury T. Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(4):1 View

Books/Policy Documents

  1. Martinez-Martin N. Ethical Dimensions of Commercial and DIY Neurotechnologies. View