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

Special Issue on Computing and Mental Health (2018) (33) Mobile Health (mhealth) (2945) mHealth for Wellness, Behavior Change and Prevention (2875) Depression and Mood Disorders; Suicide Prevention (1364) Wearable Devices and Sensors (890)

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 (14) Tweetations (18) Metrics

Jingbo Meng   1 , PhD ;   Syed Ali Hussain   1 , MA ;   David C Mohr   2 , PhD ;   Mary Czerwinski   3 , PhD ;   Mi Zhang   4 , PhD

1 Department of Communication, Michigan State University, East Lansing, MI, United States

2 Feinberg School of Medicine, Northwestern University, Chicago, IL, United States

3 Microsoft Research, Redmond, WA, United States

4 Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, United States

Corresponding Author:

  • Jingbo Meng, PhD
  • Department of Communication
  • Michigan State University
  • East Lansing, MI
  • United States
  • Phone: 1 5173553480
  • Email: jingbome@msu.edu