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

mHealth for Screening (194) Methods and New Tools in Mental Health Research (428) Chatbots and Conversational Agents (473) mHealth for Wellness, Behavior Change and Prevention (2754) mHealth for Data Collection and Research (917)

Published on in Vol 10, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28082, first published .
Validity of Chatbot Use for Mental Health Assessment: Experimental Study

Validity of Chatbot Use for Mental Health Assessment: Experimental Study

Validity of Chatbot Use for Mental Health Assessment: Experimental Study

Authors of this article:

Anita Schick1 Author Orcid Image ;   Jasper Feine2 Author Orcid Image ;   Stefan Morana3 Author Orcid Image ;   Alexander Maedche2 Author Orcid Image ;   Ulrich Reininghaus1 Author Orcid Image
Article Authors Cited by (15) Tweetations (8) Metrics

Journals

  1. D'Amico R, White T, Shah H, Langer D. I Asked a ChatGPT to Write an Editorial About How We Can Incorporate Chatbots Into Neurosurgical Research and Patient Care…. Neurosurgery 2023;92(4):663 View
  2. Otero-González I, Pacheco-Lorenzo M, Fernández-Iglesias M, Anido-Rifón L. Conversational agents for depression screening: A systematic review. International Journal of Medical Informatics 2024;181:105272 View
  3. Chakraborty C, Pal S, Bhattacharya M, Dash S, Lee S. Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science. Frontiers in Artificial Intelligence 2023;6 View
  4. Babington‐Ashaye A, de Moerloose P, Diop S, Geissbuhler A. Design, development and usability of an educational AI chatbot for People with Haemophilia in Senegal. Haemophilia 2023;29(4):1063 View
  5. Chakraborty C, Bhattacharya M, Pal S, Lee S. From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare. Current Research in Biotechnology 2024;7:100164 View
  6. Wong R. ChatGPT in psychiatry: promises and pitfalls. The Egyptian Journal of Neurology, Psychiatry and Neurosurgery 2024;60(1) View
  7. Boian R, Bucur A, Todea D, Luca A, Rebedea T, Podina I. A conversational agent framework for mental health screening: design, implementation, and usability. Behaviour & Information Technology 2024:1 View
  8. Jin Y, Chen L, Zhao X, Cai W. The way you assess matters: User interaction design of survey chatbots for mental health. International Journal of Human-Computer Studies 2024;189:103290 View
  9. Tsekouras D, Gutt D, Heimbach I. The robo bias in conversational reviews: How the solicitation medium anthropomorphism affects product rating valence and review helpfulness. Journal of the Academy of Marketing Science 2024 View
  10. Corrivetti G, Monaco F, Vignapiano A, Marenna A, Palm K, Fernández-Arroyo S, Frigola-Capell E, Leen V, Ibarrola O, Amil B, Caruson M, Chiariotti L, Palacios-Ariza M, Hoekstra P, Chiang H, Floareș A, Fagiolini A, Fasano A. Optimizing and Predicting Antidepressant Efficacy in Patients with Major Depressive Disorder Using Multi-Omics Analysis and the Opade AI Prediction Tools. Brain Sciences 2024;14(7):658 View
  11. Mapa R, Meyer D, Iyer R, Apputhurai P, Wickramasinghe N. Systematic Review of Empathic Conversational Agent Platform Designs and their Evaluation in the Context of Mental Health. (Preprint). JMIR Mental Health 2024 View

Books/Policy Documents

  1. Taylor D, Melvin C, Aung H, Asif R. HCI for Cybersecurity, Privacy and Trust. View