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

Viewpoints and Opinions on Mental Health (44) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Depression and Mood Disorders; Suicide Prevention (1363)

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

Authors of this article:

Monika N Lind1 Author Orcid Image ;   Michelle L Byrne1 Author Orcid Image ;   Geordie Wicks1 Author Orcid Image ;   Alec M Smidt1 Author Orcid Image ;   Nicholas B Allen1 Author Orcid Image
Article Authors Cited by (51) Tweetations (35) Metrics

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
  15. Niemeijer K, Mestdagh M, Verdonck S, Meers K, Kuppens P. Combining Experience Sampling and Mobile Sensing for Digital Phenotyping With m-Path Sense: Performance Study. JMIR Formative Research 2023;7:e43296 View
  16. Mendes J, Moura I, Van de Ven P, Viana D, Silva F, Coutinho L, Teixeira S, Rodrigues J, Teles A. Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review. Journal of Medical Internet Research 2022;24(2):e28735 View
  17. Schwartz-Lifshitz M, Hertz-Palmor N, Dekel I, Balan-Moshe L, Mekori-Domachevsky E, Weisman H, Kaufman S, Gothelf D, Amichai-Hamburger Y. Loneliness and Social Media Use Among Adolescents with Psychiatric Disorders. Cyberpsychology, Behavior, and Social Networking 2022;25(6):392 View
  18. Vega J, Li M, Aguillera K, Goel N, Joshi E, Khandekar K, Durica K, Kunta A, Low C. Reproducible Analysis Pipeline for Data Streams: Open-Source Software to Process Data Collected With Mobile Devices. Frontiers in Digital Health 2021;3 View
  19. van Driel I, Giachanou A, Pouwels J, Boeschoten L, Beyens I, Valkenburg P. Promises and Pitfalls of Social Media Data Donations. Communication Methods and Measures 2022;16(4):266 View
  20. Odgers C, Jensen M. Adolescent development and growing divides in the digital age. Dialogues in Clinical Neuroscience 2020;22(2):143 View
  21. Griffioen N, Lichtwarck-Aschoff A, van Rooij M, Granic I. From Wellbeing to Social Media and Back: A Multi-Method Approach to Assessing the Bi-Directional Relationship Between Wellbeing and Social Media Use. Frontiers in Psychology 2021;12 View
  22. Yang X, Knights J, Bangieva V, Kambhampati V. Association Between the Severity of Depressive Symptoms and Human-Smartphone Interactions: Longitudinal Study. JMIR Formative Research 2023;7:e42935 View
  23. Romano K, Heron K, Ferguson G, Scott S. Emotion word use patterns and eating disorder symptoms: Considering the circumplex model of affect and basic emotions theory. International Journal of Eating Disorders 2023;56(2):464 View
  24. van Woudenberg T, Buijzen M, Hendrikx R, van Weert J, van den Putte B, Kroese F, Bouman M, de Bruin M, Lambooij M. Physical Distancing and Social Media Use in Emerging Adults and Adults During the COVID-19 Pandemic: Large-scale Cross-sectional and Longitudinal Survey Study. JMIR Infodemiology 2022;2(2):e33713 View
  25. Kulkarni P, Kirkham R, McNaney R. Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review. Sensors 2022;22(10):3893 View
  26. Griffioen N, Scholten H, Lichtwarck-Aschoff A, Maciejewski D, Granic I. Heterogeneity in some relationships between social media use and emerging adults’ affective wellbeing. Current Psychology 2023;42(34):30277 View
  27. McNeilly E, Mills K, Kahn L, Crowley R, Pfeifer J, Allen N. Adolescent Social Communication Through Smartphones: Linguistic Features of Internalizing Symptoms and Daily Mood. Clinical Psychological Science 2023;11(6):1090 View
  28. Chow S, Nahum-Shani I, Baker J, Spruijt-Metz D, Allen N, Auerbach R, Dunton G, Friedman N, Intille S, Klasnja P, Marlin B, Nock M, Rauch S, Pavel M, Vrieze S, Wetter D, Kleiman E, Brick T, Perry H, Wolff-Hughes D, Bodovski Y, Wang S, Kaslander J, Chu D, Ponnada A, Braga De Braganca R, Schloesser D, Chi G, Rivera D, Liebenthal E. The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols. Translational Behavioral Medicine 2023;13(1):7 View
  29. Kaplan D. Social-Ecological Measurement of Daily Life: How Relationally Focused Ambulatory Assessment Can Advance Clinical Intervention Science. Review of General Psychology 2023;27(2):206 View
  30. Byrne M, Lind M, Horn S, Mills K, Nelson B, Barnes M, Slavich G, Allen N. Using mobile sensing data to assess stress: Associations with perceived and lifetime stress, mental health, sleep, and inflammation. DIGITAL HEALTH 2021;7 View
  31. Wade N, Ortigara J, Sullivan R, Tomko R, Breslin F, Baker F, Fuemmeler B, Delrahim Howlett K, Lisdahl K, Marshall A, Mason M, Neale M, Squeglia L, Wolff-Hughes D, Tapert S, Bagot K. Passive Sensing of Preteens’ Smartphone Use: An Adolescent Brain Cognitive Development (ABCD) Cohort Substudy. JMIR Mental Health 2021;8(10):e29426 View
  32. Chase G, Brown M, Jensen M. Emerging adults’ digital technology engagement and mental health during the COVID-19 pandemic. Frontiers in Psychology 2022;13 View
  33. Lind M, Kahn L, Crowley R, Reed W, Wicks G, Allen N. Reintroducing the Effortless Assessment Research System (EARS). JMIR Mental Health 2023;10:e38920 View
  34. Burnell K, Kurup A, Vollet J, Underwood M. “So you think I'm cute?”: An observational study of adolescents' appearance evaluation in text messaging. Human Behavior and Emerging Technologies 2021;3(5):798 View
  35. Cooper J, Scarf D, Conner T. University students’ opinions towards mobile sensing data collection: A qualitative analysis. Frontiers in Digital Health 2023;5 View
  36. Wu J, Zhou T, Guo Y, Tian Y, Lou Y, Feng J, li J. Video-based evaluation system for tic action in Tourette syndrome: modeling, detection, and evaluation. Health Information Science and Systems 2023;11(1) View
  37. Šutić L, Novak M. Daily Life Methods in Adolescence and Emerging Adulthood Studies in Croatia, Serbia, and Slovenia: A Scoping Review. Youth 2023;3(4):1137 View
  38. Pagliaccio D, Bitran A, Kirshenbaum J, Alqueza K, Durham K, Chernick L, Joyce K, Lan R, Porta G, Brent D, Allen N, Auerbach R. Testing the interpersonal theory of suicide in adolescents: A multi‐wave longitudinal study. Journal of Child Psychology and Psychiatry 2024;65(5):668 View
  39. Letkiewicz A, Funkhouser C, Umemoto A, Trivedi E, Sritharan A, Zhang E, Buchanan S, Helgren F, Allison G, Kayser J, Shankman S, Auerbach R. Neurophysiological responses to emotional faces predict dynamic fluctuations in affect in adolescents. Psychophysiology 2024;61(4) View
  40. Wyant K, Moshontz H, Ward S, Fronk G, Curtin J. Acceptability of Personal Sensing Among People With Alcohol Use Disorder: Observational Study. JMIR mHealth and uHealth 2023;11:e41833 View
  41. Wang X, Wang T. Construction and Application of a Big Data Analysis Platform for College Music Education for College Students' Mental Health. International Journal of Data Warehousing and Mining 2023;19(4):1 View
  42. Sun Y, Kargarandehkordi A, Slade C, Jaiswal A, Busch G, Guerrero A, Phillips K, Washington P. Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study. JMIR Research Protocols 2024;13:e46493 View
  43. 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
  44. 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
  45. Siriaraya P, Tanaka R, She W, Jain R, Schok M, De Ruiter M, Desmet P, Nakajima S. Happy Click!: Investigating the Use of a Tangible Interface to Facilitate the Three Good Things Positive Psychology Intervention. Interacting with Computers 2024;36(4):240 View
  46. Shin J, Bae S. Use of voice features from smartphones for monitoring depressive disorders: Scoping review. DIGITAL HEALTH 2024;10 View
  47. 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
  48. 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
  49. Slade C, Benzo R, Washington P. Design Guidelines for Improving Mobile Sensing Data Collection: Prospective Mixed Methods Study. Journal of Medical Internet Research 2024;26:e55694 View
  50. Badcock P, Davey C. Active Inference in Psychology and Psychiatry: Progress to Date?. Entropy 2024;26(10):833 View

Books/Policy Documents

  1. Nurgalieva L, Doherty G. Digital Therapeutics for Mental Health and Addiction. View