Accessibility settings

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

Game Addiction and Other Unintended Consequences (68) Natural Language Processing (1271) Methods and New Tools in Mental Health Research (903) Mental Health Games (172) Development and Evaluation of Research Methods, Instruments and Tools (1321) Artificial Intelligence (4741)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56663, first published .
Man playing video games with a controller

Use of 4 Open-Ended Text Responses to Help Identify People at Risk of Gaming Disorder: Preregistered Development and Usability Study Using Natural Language Processing

Use of 4 Open-Ended Text Responses to Help Identify People at Risk of Gaming Disorder: Preregistered Development and Usability Study Using Natural Language Processing

Authors of this article:

Paweł Strojny1 Author Orcid Image ;   Ksawery Kapela1 Author Orcid Image ;   Natalia Lipp2 Author Orcid Image ;   Sverker Sikström3 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Altozano A, Minissi M, Gómez-Zaragozá L, Maddalon L, Alcañiz M, Marín-Morales J. Enhancing Psychological Assessments With Open-Ended Questionnaires and Large Language Models: An ASD Case Study. IEEE Journal of Biomedical and Health Informatics 2026;30(2):1707 View
  2. Kranas A, Verykios V. Large Language Models in the Assessment and Care of Internet Gaming Disorder. AI in Medicine 2026;1(1):6 View
  3. Strojny P, Zajas A, Kiszka P, Starzec S, Demetrovics Z, Király O. Introjected regulation is the primary predictor of gaming disorder symptoms across WHO and APA criteria in a representative sample of Polish adolescents. Scientific Reports 2026;16(1) View
  4. Burleigh T, Hao Y, Schivinski B, Prokofieva M, Zarate D, Brown T, Stavropoulos V. Machine learning of digital traces to detect risk for behavioural addictions online. Nature Reviews Psychology 2026 View