Published on in Vol 21, No 7 (2019): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12529, first published .
Development and Evaluation of ClientBot: Patient-Like Conversational Agent to Train Basic Counseling Skills

Development and Evaluation of ClientBot: Patient-Like Conversational Agent to Train Basic Counseling Skills

Development and Evaluation of ClientBot: Patient-Like Conversational Agent to Train Basic Counseling Skills

Journals

  1. Maher C, Davis C, Curtis R, Short C, Murphy K. A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study. JMIR mHealth and uHealth 2020;8(7):e17558 View
  2. Aafjes-van Doorn K, Kamsteeg C, Bate J, Aafjes M. A scoping review of machine learning in psychotherapy research. Psychotherapy Research 2021;31(1):92 View
  3. Ren X, Spina G, De Vries S, Bijkerk A, Faber B, Geraedts A. Understanding Physician’s Experience With Conversational Interfaces During Occupational Health Consultation. IEEE Access 2020;8:119158 View
  4. Bickman L. Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health. Administration and Policy in Mental Health and Mental Health Services Research 2020;47(5):795 View

Books/Policy Documents

  1. Lehmann R, Albrecht J, Zauter S. Gegenwart und Zukunft sozialer Dienstleistungsarbeit. View
  2. Frangoudes F, Hadjiaros M, Schiza E, Matsangidou M, Tsivitanidou O, Neokleous K. Learning and Collaboration Technologies: Games and Virtual Environments for Learning. View