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

Viewpoints and Opinions on Mental Health (45) Ecological Momentary Assessment (EMA) (349) Digital Biomarkers and Digital Phenotyping (227) mHealth for Data Collection and Research (1080) Mobile Health (mhealth) (3147) Methods and New Tools in Mental Health Research (497)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38920, first published .
Reintroducing the Effortless Assessment Research System (EARS)

Reintroducing the Effortless Assessment Research System (EARS)

Reintroducing the Effortless Assessment Research System (EARS)

Authors of this article:

Monika N Lind1 Author Orcid Image ;   Lauren E Kahn1 Author Orcid Image ;   Ryann Crowley1 Author Orcid Image ;   Wyatt Reed1 Author Orcid Image ;   Geordie Wicks1 Author Orcid Image ;   Nicholas B Allen1 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics

Journals

  1. Funkhouser C, Trivedi E, Li L, Helgren F, Zhang E, Sritharan A, Cherner R, Pagliaccio D, Durham K, Kyler M, Tse T, Buchanan S, Allen N, Shankman S, Auerbach R. Detecting adolescent depression through passive monitoring of linguistic markers in smartphone communication. Journal of Child Psychology and Psychiatry 2024;65(7):932 View
  2. Funkhouser C, Tse T, Weiner L, deLuise D, Pagliaccio D, Durham K, Cullen C, Blumkin Z, O’Brien C, Allen N, Auerbach R. Study Preregistration: Testing a Digital Suicide Risk Reduction Platform for Adolescents: A Pragmatic Randomized Controlled Trial. Journal of the American Academy of Child & Adolescent Psychiatry 2024;63(8):845 View
  3. McNeilly E, Teresi G, Coury S, Bajwa Z, Kahn L, Crowley R, Allen N, Ho T. Neural correlates of depression-related smartphone language use in adolescents. NPP—Digital Psychiatry and Neuroscience 2024;2(1) View
  4. Ng M, Frederick J, Fisher A, Allen N, Pettit J, McMakin D. Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study. JMIR Research Protocols 2024;13:e43931 View
  5. Alexander J, Linkersdörfer J, Toda-Thorne K, Sullivan R, Cummins K, Tomko R, Allen N, Bagot K, Baker F, Fuemmeler B, Hoffman E, Kiss O, Mason M, Nguyen-Louie T, Tapert S, Smith C, Squeglia L, Wade N. Passively sensing smartphone use in teens with rates of use by sex and across operating systems. Scientific Reports 2024;14(1) View
  6. Hamilton J, Dreier M, Caproni B, Fedor J, Durica K, Low C. Improving the Science of Adolescent Social Media and Mental Health: Challenges and Opportunities of Smartphone-Based Mobile Sensing and Digital Phenotyping. Journal of Technology in Behavioral Science 2024 View
  7. Liu Y, Marciano L. Appnome analysis reveals small or no associations between social media app-specific usage and adolescent well-being. Scientific Reports 2024;14(1) View
  8. Auerbach R, Bloom P, Pagliaccio D, Lan R, Galfalvy H, Bitran A, Durham K, Crowley R, Joyce K, Blanchard A, Chernick L, Dayan P, Greenblatt J, Kahn L, Porta G, Tse T, Cohn J, Morency L, Brent D, Allen N. Using Smartphone GPS Data to Detect the Risk of Adolescent Suicidal Thoughts and Behaviors. JAMA Network Open 2025;8(1):e2456429 View
  9. Maheux A, Maes C, Burnell K, Bauer D, Prinstein M, Telzer E. Social media are many things: Addressing the components and patterns of adolescent social media use. Annals of the New York Academy of Sciences 2025 View
  10. Alexander J, Nguyen-Louie T, Gupta S, Cummins K, Wade N. Adolescent smartphone use, sleep, and physical activity: daily associations between sensor-based measures in the adolescent brain cognitive development (ABCD) study. Psychiatry Research 2025;349:116523 View