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
  5. Baker E, Jenney A. Virtual Simulations to Train Social Workers for Competency-Based Learning: A Scoping Review. Journal of Social Work Education 2023;59(1):8 View
  6. Montenegro J, da Costa C, da Rosa Righi R, Farias E, Matté L. Development and Validation of Conversational Agent to Pregnancy Safe-education. Journal of Medical Systems 2023;47(1) View
  7. Aalsma M, Adams Z, Smoker M, Marriott B, Ouyang F, Meudt E, Hulvershorn L. Evidence-based Treatment for Substance Use Disorders in Community Mental Health Centers: the ACCESS Program. The Journal of Behavioral Health Services & Research 2023;50(3):333 View
  8. Sharma A, Lin I, Miner A, Atkins D, Althoff T. Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support. Nature Machine Intelligence 2023;5(1):46 View
  9. Darnell D, Areán P, Dorsey S, Atkins D, Tanana M, Hirsch T, Mooney S, Boudreaux E, Comtois K. Harnessing Innovative Technologies to Train Nurses in Suicide Safety Planning With Hospitalized Patients: Protocol for Formative and Pilot Feasibility Research. JMIR Research Protocols 2021;10(12):e33695 View
  10. Oster C, Leibbrandt R, Schoo A, Lange B, Litt J, Morello A, Antonello C, Powers D, Maeder A, Lawn S. A feasibility study of teaching motivational interviewing in a fully online environment using a virtual client. International Journal of Health Promotion and Education 2022:1 View
  11. Magill M, Mastroleo N, Martino S. Technology-Based Methods for Training Counseling Skills in Behavioral Health: a Scoping Review. Journal of Technology in Behavioral Science 2022;7(3):325 View
  12. Sibley M, Bickman L, Atkins D, Tanana M, Coxe S, Ortiz M, Martin P, King J, Monroy J, Ponce T, Cheng J, Pace B, Zhao X, Chawla V, Page T. Developing an Implementation Model for ADHD Intervention in Community Clinics: Leveraging Artificial Intelligence and Digital Technology. Cognitive and Behavioral Practice 2023 View
  13. Chan C, Li F. Developing a natural language-based AI-chatbot for social work training: an illustrative case study. China Journal of Social Work 2023;16(2):121 View
  14. Hudon A, Beaudoin M, Phraxayavong K, Potvin S, Dumais A. Unsupervised Machine Learning Driven Analysis of Verbatims of Treatment-Resistant Schizophrenia Patients Having Followed Avatar Therapy. Journal of Personalized Medicine 2023;13(5):801 View
  15. Kleine A, Kokje E, Lermer E, Gaube S. Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study. JMIR Human Factors 2023;10:e46859 View
  16. Webb J. Proof of Concept: Using ChatGPT to Teach Emergency Physicians How to Break Bad News. Cureus 2023 View
  17. Pereira D, Falcão F, Costa L, Lunn B, Pêgo J, Costa P. Here's to the future: Conversational agents in higher education- a scoping review. International Journal of Educational Research 2023;122:102233 View
  18. Brinsley J, Singh B, Maher C. A Digital Lifestyle Program for Psychological Distress, Wellbeing and Return-to-Work: A Proof-of-Concept Study. Archives of Physical Medicine and Rehabilitation 2023;104(11):1903 View
  19. Schenker Y, Abdullah S, Arnold R, Schmitz K. Conversational Agents in Palliative Care: Potential Benefits, Risks, and Next Steps. Journal of Palliative Medicine 2024;27(3):296 View
  20. Bonfitto G, Roletto A, Savardi M, Fasulo S, Catania D, Signoroni A. Harnessing ChatGPT dialogues to address claustrophobia in MRI - A radiographers' education perspective. Radiography 2024;30(3):737 View
  21. Dai C, Ke F, Pan Y, Moon J, Liu Z. Effects of Artificial Intelligence-Powered Virtual Agents on Learning Outcomes in Computer-Based Simulations: A Meta-Analysis. Educational Psychology Review 2024;36(1) View
  22. Han Y. Usability and Educational Effectiveness of AI-based Patient Chatbot for Clinical Skills Training in Korean Medicine. Korean Journal of Acupuncture 2024;41(1):27 View
  23. Provence S, Forcehimes A. Algorithms for Empathy: Using Machine Learning to Categorize Common Empathetic Traits Across Professional and Peer-Based Conversations. Cureus 2024 View
  24. Darnell D, Pierson A, Tanana M, Dorsey S, Boudreaux E, Arean P, Comtois K. Harnessing innovative technologies to train nurses in suicide safety planning with hospital patients: Findings from a formative evaluation of an eLearning continuing education training (Preprint). JMIR Formative Research 2024 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