Published on in Vol 5, No 3 (2018): Jul-Sept

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10334, first published .
The Effortless Assessment of Risk States (EARS) Tool: An Interpersonal Approach to Mobile Sensing

The Effortless Assessment of Risk States (EARS) Tool: An Interpersonal Approach to Mobile Sensing

The Effortless Assessment of Risk States (EARS) Tool: An Interpersonal Approach to Mobile Sensing

Journals

  1. Hussong A, Jensen M, Morgan S, Poteat J. Collecting text messages from college students: Evaluating a novel methodology. Social Development 2021;30(1):3 View
  2. Brick T, Mundie J, Weaver J, Fraleigh R, Oravecz Z. Low-Burden Mobile Monitoring, Intervention, and Real-Time Analysis Using the Wear-IT Framework: Example and Usability Study. JMIR Formative Research 2020;4(6):e16072 View
  3. Johnson A, Dey S, Nguyen H, Groth M, Joyce S, Tan L, Glozier N, Harvey S. A review and agenda for examining how technology-driven changes at work will impact workplace mental health and employee well-being. Australian Journal of Management 2020;45(3):402 View
  4. Griffioen N, Van Rooij M, Lichtwarck-Aschoff A, Granic I. A Stimulated Recall Method for the Improved Assessment of Quantity and Quality of Social Media Use. Journal of Medical Internet Research 2020;22(1):e15529 View
  5. Allen N, Nelson B, Brent D, Auerbach R. Short-term prediction of suicidal thoughts and behaviors in adolescents: Can recent developments in technology and computational science provide a breakthrough?. Journal of Affective Disorders 2019;250:163 View
  6. Scholten H, Luijten M, Granic I. A randomized controlled trial to test the effectiveness of a peer-based social mobile game intervention to reduce smoking in youth. Development and Psychopathology 2019;31(5):1923 View
  7. Barnett S, Huckvale K, Christensen H, Venkatesh S, Mouzakis K, Vasa R. Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications. Journal of Medical Internet Research 2019;21(11):e16399 View
  8. Nurgalieva L, O'Callaghan D, Doherty G. Security and Privacy of mHealth Applications: A Scoping Review. IEEE Access 2020;8:104247 View
  9. Richardson P, Harrison L, Heathcote L, Rush G, Shear D, Lalloo C, Hood K, Wicksell R, Stinson J, Simons L. mHealth for pediatric chronic pain: state of the art and future directions. Expert Review of Neurotherapeutics 2020;20(11):1177 View
  10. Odgers C, Jensen M. Annual Research Review: Adolescent mental health in the digital age: facts, fears, and future directions. Journal of Child Psychology and Psychiatry 2020;61(3):336 View
  11. Orben A, Weinstein N, Przybylski A. Only Holistic and Iterative Change Will Fix Digital Technology Research. Psychological Inquiry 2020;31(3):235 View
  12. Granic I, Morita H, Scholten H. Beyond Screen Time: Identity Development in the Digital Age. Psychological Inquiry 2020;31(3):195 View
  13. Sels L, Homan S, Ries A, Santhanam P, Scheerer H, Colla M, Vetter S, Seifritz E, Galatzer-Levy I, Kowatsch T, Scholz U, Kleim B. SIMON: A Digital Protocol to Monitor and Predict Suicidal Ideation. Frontiers in Psychiatry 2021;12 View
  14. MacLeod L, Suruliraj B, Gall D, Bessenyei K, Hamm S, Romkey I, Bagnell A, Mattheisen M, Muthukumaraswamy V, Orji R, Meier S. A Mobile Sensing App to Monitor Youth Mental Health: A Short-term Pilot Study (Preprint). JMIR mHealth and uHealth 2020 View