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

Robots in Healthcare (87) New Methods (963) Methods and New Tools in Mental Health Research (463)

Published on in Vol 20, No 5 (2018): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/7737, first published .
Experiences of a Motivational Interview Delivered by a Robot: Qualitative Study

Experiences of a Motivational Interview Delivered by a Robot: Qualitative Study

Experiences of a Motivational Interview Delivered by a Robot: Qualitative Study

Authors of this article:

Joana Galvão Gomes da Silva1 Author Orcid Image ;   David J Kavanagh2 Author Orcid Image ;   Tony Belpaeme3 Author Orcid Image ;   Lloyd Taylor1 Author Orcid Image ;   Konna Beeson1 Author Orcid Image ;   Jackie Andrade1 Author Orcid Image
Article Authors Cited by (45) Tweetations (55) Metrics

Journals

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  5. Park S, Choi J, Lee S, Oh C, Kim C, La S, Lee J, Suh B. Designing a Chatbot for a Brief Motivational Interview on Stress Management: Qualitative Case Study. Journal of Medical Internet Research 2019;21(4):e12231 View
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  7. Fernandez-Aviles D, De Antonio A, Villalba-Mora E. A Systematic Mapping Study on the Use of Motivational Theories in the Design of Motivational Software. IEEE Access 2020;8:176840 View
  8. Henschel A, Laban G, Cross E. What Makes a Robot Social? A Review of Social Robots from Science Fiction to a Home or Hospital Near You. Current Robotics Reports 2021;2(1):9 View
  9. Robinson N, Kavanagh D. A social robot to deliver a psychotherapeutic treatment: Qualitative responses by participants in a randomized controlled trial and future design recommendations. International Journal of Human-Computer Studies 2021;155:102700 View
  10. GÜLTEKİN M. Could Robots Empatize? A Review on The Employment of Social Robots in Mental Healthcare. Türk Psikolojik Danışma ve Rehberlik Dergisi 2022;12(67):593 View
  11. Aggarwal A, Tam C, Wu D, Li X, Qiao S. Artificial Intelligence–Based Chatbots for Promoting Health Behavioral Changes: Systematic Review. Journal of Medical Internet Research 2023;25:e40789 View
  12. Amirova A, Rakhymbayeva N, Yadollahi E, Sandygulova A, Johal W. 10 Years of Human-NAO Interaction Research: A Scoping Review. Frontiers in Robotics and AI 2021;8 View
  13. Goh Y, Ow Yong J, Chee B, Kuek J, Ho C. Machine Learning in Health Promotion and Behavioral Change: Scoping Review. Journal of Medical Internet Research 2022;24(6):e35831 View
  14. GÜLTEKİN M. Could Robots Empatize? A Review on The Employment of Social Robots in Mental Healthcare. Türk Psikolojik Danışma ve Rehberlik Dergisi 2022;12(67) View
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  16. Prescott J, Hanley T. Therapists’ attitudes towards the use of AI in therapeutic practice: considering the therapeutic alliance. Mental Health and Social Inclusion 2023;27(2):177 View
  17. Lopes S, Ferreira A, Prada R. The Use of Robots in the Workplace: Conclusions from a Health Promoting Intervention Using Social Robots. International Journal of Social Robotics 2023;15(6):893 View
  18. Caruana N, Moffat R, Miguel-Blanco A, Cross E. Perceptions of intelligence & sentience shape children’s interactions with robot reading companions. Scientific Reports 2023;13(1) View
  19. Singh B, Olds T, Brinsley J, Dumuid D, Virgara R, Matricciani L, Watson A, Szeto K, Eglitis E, Miatke A, Simpson C, Vandelanotte C, Maher C. Systematic review and meta-analysis of the effectiveness of chatbots on lifestyle behaviours. npj Digital Medicine 2023;6(1) View
  20. Robinson N, Connolly J, Suddrey G, Kavanagh D. A Brief Wellbeing Training Session Delivered by a Humanoid Social Robot: A Pilot Randomized Controlled Trial. International Journal of Social Robotics 2024;16(5):937 View
  21. Wilson C, Boright L, Louie W, Shahverdi P, Arena S, Benbow R, Wilson J, Chen Q, Rousso K, Huang N. Effect of Robotic Delivery of Physical Activity and Fall Prevention Exercise in Older Adults: A Pilot Cohort Study. Cureus 2023 View
  22. Yoon S, Tang H, Tan C, Phang J, Kwan Y, Low L. Acceptability of Mobile App–Based Motivational Interviewing and Preferences for App Features to Support Self-Management in Patients With Type 2 Diabetes: Qualitative Study. JMIR Diabetes 2024;9:e48310 View
  23. Alshammari R, Arshad H, Rahman A, Albahri O. Robotics Utilization in Automatic Vision-Based Assessment Systems From Artificial Intelligence Perspective: A Systematic Review. IEEE Access 2022;10:77537 View
  24. Janssen S, Schadenberg B. A Psychological Need-Fulfillment Perspective for Designing Social Robots that Support Well-Being. International Journal of Social Robotics 2024;16(5):857 View
  25. Abid A, Baxter S. Breaking Barriers in Behavioral Change: The Potential of Artificial Intelligence-Driven Motivational Interviewing. Journal of Glaucoma 2024;33(7):473 View
  26. Woolford S, Villegas J, Resnicow K. Motivational Interviewing for the Prevention and Treatment of Pediatric Obesity. Pediatric Clinics of North America 2024;71(5):927 View
  27. Puleio F, Lo Giudice G, Bellocchio A, Boschetti C, Lo Giudice R. Clinical, Research, and Educational Applications of ChatGPT in Dentistry: A Narrative Review. Applied Sciences 2024;14(23):10802 View
  28. Boch A, Thomas B. Human-robot dynamics: a psychological insight into the ethics of social robotics. International Journal of Ethics and Systems 2024 View

Books/Policy Documents

  1. Bethel C, Cossitt J, Henkel Z, Baugus K. Human-Robot Interaction. View
  2. Fiske A, Henningsen P, Buyx A. Ethics of Digital Well-Being. View
  3. Eichenberg C. Bessere Menschen? Technische und ethische Fragen in der transhumanistischen Zukunft. View
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  5. Rogge A. Soziale Roboter. View
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