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

Journals

1. Tobore I, Li J, Yuhang L, Al-Handarish Y, Kandwal A, Nie Z, Wang L. Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations. JMIR mHealth and uHealth 2019;7(8):e11966 View
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
3. Patoz M, Hidalgo-Mazzei D, Blanc O, Verdolini N, Pacchiarotti I, Murru A, Zukerwar L, Vieta E, Llorca P, Samalin L. Patient and physician perspectives of a smartphone application for depression: a qualitative study. BMC Psychiatry 2021;21(1) View
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
11. Tian E, Ho M, Chou O, Chong S, Kwan C, Lam A, Chan K. Effectiveness of telepsychiatry interventions for youth with depressive and/or anxiety disorders: A systematic review with meta-analysis. Clinical Child Psychology and Psychiatry 2025;30(3):537 View
12. Astill Wright L, Majid M, Shajan G, Momoh G, Patil R, Rawsthorne M, Purewal D, Patel S, Morriss R. The user experience of ambulatory assessment and mood monitoring in depression: a systematic review & meta-synthesis. npj Digital Medicine 2025;8(1) View

Books/Policy Documents

1. . Ethical Dimensions of Commercial and DIY Neurotechnologies. View

Conference Proceedings

1. Kornfield R, Zhang R, Nicholas J, Schueller S, Cambo S, Mohr D, Reddy M. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. "Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression View
2. Kolovson S, Pratap A, Duffy J, Allred R, Munson S, Areán P. Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare. Understanding Participant Needs for Engagement and Attitudes towards Passive Sensing in Remote Digital Health Studies View
3. Kruzan K, Ng A, Stiles-Shields C, Lattie E, Mohr D, Reddy M. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. The Perceived Utility of Smartphone and Wearable Sensor Data in Digital Self-tracking Technologies for Mental Health View
4. Oti O, Pitt I. Proceedings of the 35th Australian Computer-Human Interaction Conference. Application of the CeHRes Framework to the Development of Pathway: An HCI Perspective View