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

Formative Evaluation of Digital Health Interventions (2803) Anxiety and Stress Disorders (1175) Wearable Devices and Sensors (988) Social Anxiety Disorder (SAD) (56) mHealth for Data Collection and Research (1077) Digital Biomarkers and Digital Phenotyping (226) Machine Learning (1719) Methods and New Tools in Mental Health Research (497)

Published on in Vol 5, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32656, first published .
Detecting Subclinical Social Anxiety Using Physiological Data From a Wrist-Worn Wearable: Small-Scale Feasibility Study

Detecting Subclinical Social Anxiety Using Physiological Data From a Wrist-Worn Wearable: Small-Scale Feasibility Study

Detecting Subclinical Social Anxiety Using Physiological Data From a Wrist-Worn Wearable: Small-Scale Feasibility Study

Authors of this article:

Ruksana Shaukat-Jali1 Author Orcid Image ;   Nejra van Zalk1 Author Orcid Image ;   David Edward Boyle1 Author Orcid Image
Article Authors Cited by (24) Tweetations (2) Metrics

Journals

  1. Chakrabarti S, Biswas N, Jones L, Kesari S, Ashili S. Smart Consumer Wearables as Digital Diagnostic Tools: A Review. Diagnostics 2022;12(9):2110 View
  2. Adler D, Wang F, Mohr D, Choudhury T, Chen C. Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies. PLOS ONE 2022;17(4):e0266516 View
  3. Paula L, Pfeiffer Salomão Dias L, Francisco R, Barbosa J. Analysing IoT Data for Anxiety and Stress Monitoring: A Systematic Mapping Study and Taxonomy. International Journal of Human–Computer Interaction 2024;40(5):1174 View
  4. Abd-alrazaq A, AlSaad R, Aziz S, Ahmed A, Denecke K, Househ M, Farooq F, Sheikh J. Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review. Journal of Medical Internet Research 2023;25:e42672 View
  5. Chard I, Van Zalk N, Picinali L. Virtual reality exposure therapy for reducing social anxiety in stuttering: A randomized controlled pilot trial. Frontiers in Digital Health 2023;5 View
  6. Choudhary S, Thomas N, Alshamrani S, Srinivasan G, Ellenberger J, Nawaz U, Cohen R. A Machine Learning Approach for Continuous Mining of Nonidentifiable Smartphone Data to Create a Novel Digital Biomarker Detecting Generalized Anxiety Disorder: Prospective Cohort Study. JMIR Medical Informatics 2022;10(8):e38943 View
  7. Gomes N, Pato M, Lourenço A, Datia N. A Survey on Wearable Sensors for Mental Health Monitoring. Sensors 2023;23(3):1330 View
  8. Al-Saedi A, Boeva V, Casalicchio E, Exner P. Context-Aware Edge-Based AI Models for Wireless Sensor Networks—An Overview. Sensors 2022;22(15):5544 View
  9. Hirten R, Suprun M, Danieletto M, Zweig M, Golden E, Pyzik R, Kaur S, Helmus D, Biello A, Landell K, Rodrigues J, Bottinger E, Keefer L, Charney D, Nadkarni G, Suarez-Farinas M, Fayad Z. A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort. JAMIA Open 2023;6(2) View
  10. Anmella G, Corponi F, Li B, Mas A, Sanabra M, Pacchiarotti I, Valentí M, Grande I, Benabarre A, Giménez-Palomo A, Garriga M, Agasi I, Bastidas A, Cavero M, Fernández-Plaza T, Arbelo N, Bioque M, García-Rizo C, Verdolini N, Madero S, Murru A, Amoretti S, Martínez-Aran A, Ruiz V, Fico G, De Prisco M, Oliva V, Solanes A, Radua J, Samalin L, Young A, Vieta E, Vergari A, Hidalgo-Mazzei D. Exploring Digital Biomarkers of Illness Activity in Mood Episodes: Hypotheses Generating and Model Development Study. JMIR mHealth and uHealth 2023;11:e45405 View
  11. Wang Z, Larrazabal M, Rucker M, Toner E, Daniel K, Kumar S, Boukhechba M, Teachman B, Barnes L. Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(3):1 View
  12. Abd-alrazaq A, AlSaad R, Harfouche M, Aziz S, Ahmed A, Damseh R, Sheikh J. Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2023;25:e48754 View
  13. Sun T, Hwee J, Kim J. Exploring individual physiological correlates of procrastination with a deadline rush model. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2023;67(1):2210 View
  14. Sahu N, Gupta S, Lone H. Wearable Technology Insights: Unveiling Physiological Responses During Three Different Socially Anxious Activities. ACM Journal on Computing and Sustainable Societies 2024;2(2):1 View
  15. dos Santos M, Heckler W, Bavaresco R, Barbosa J. Machine learning applied to digital phenotyping: A systematic literature review and taxonomy. Computers in Human Behavior 2024;161:108422 View
  16. Patel J, Hung C, Katapally T. Evaluating predictive artificial intelligence approaches used in mobile health platforms to forecast mental health symptoms among youth: a systematic review. Psychiatry Research 2025;343:116277 View
  17. Smrke U, Mlakar I, Rehberger A, Žužek L, Plohl N. Decoding anxiety: A scoping review of observable cues. DIGITAL HEALTH 2024;10 View
  18. Sameh A, Rostami M, Oussalah M, Korpelainen R, Farrahi V. Digital phenotypes and digital biomarkers for health and diseases: a systematic review of machine learning approaches utilizing passive non-invasive signals collected via wearable devices and smartphones. Artificial Intelligence Review 2024;58(2) View
  19. Alkurdi A, He M, Cerna J, Clore J, Sowers R, Hsiao-Wecksler E, Hernandez M. Extending Anxiety Detection from Multimodal Wearables in Controlled Conditions to Real-World Environments. Sensors 2025;25(4):1241 View
  20. Baka E, Tan Y, Wong B, Xing Z, Yap P. A scoping review of digital interventions for the promotion of mental health and prevention of mental health conditions for young people. Oxford Open Digital Health 2025;3 View
  21. Heckler W, Feijó L, de Carvalho J, Barbosa J. Digital phenotyping for mental health based on data analytics: A systematic literature review. Artificial Intelligence in Medicine 2025;163:103094 View
  22. Yokotani K, Takano M, Abe N, Kato T. Predicting social anxiety disorder based on communication logs and social network data from a massively multiplayer online game: Using a graph neural network. Psychiatry and Clinical Neurosciences 2025;79(5):274 View
  23. Kargarandehkordi A, Li S, Lin K, Phillips K, Benzo R, Washington P. Fusing Wearable Biosensors with Artificial Intelligence for Mental Health Monitoring: A Systematic Review. Biosensors 2025;15(4):202 View

Books/Policy Documents

  1. Gray M, Majumder S, Nelson K, Munbodh R. From Data to Models and Back. View