Published on in Vol 21, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12231, first published .
Designing a Chatbot for a Brief Motivational Interview on Stress Management: Qualitative Case Study

Designing a Chatbot for a Brief Motivational Interview on Stress Management: Qualitative Case Study

Designing a Chatbot for a Brief Motivational Interview on Stress Management: Qualitative Case Study

Journals

  1. Lee Y, Yamashita N, Huang Y. Designing a Chatbot as a Mediator for Promoting Deep Self-Disclosure to a Real Mental Health Professional. Proceedings of the ACM on Human-Computer Interaction 2020;4(CSCW1):1 View
  2. Alnemr N. Emancipation cannot be programmed: blind spots of algorithmic facilitation in online deliberation. Contemporary Politics 2020;26(5):531 View
  3. Ye B, Kim J, Suh C, Choi S, Choi M, Kim D, Son B. Development of a Chatbot Program for Follow-Up Management of Workers’ General Health Examinations in Korea: A Pilot Study. International Journal of Environmental Research and Public Health 2021;18(4):2170 View
  4. Majumder S, Mondal A. Are chatbots really useful for human resource management?. International Journal of Speech Technology 2021;24(4):969 View
  5. Grimes G, Schuetzler R, Giboney J. Mental models and expectation violations in conversational AI interactions. Decision Support Systems 2021;144:113515 View
  6. Safi Z, Abd-Alrazaq A, Khalifa M, Househ M. Technical Aspects of Developing Chatbots for Medical Applications: Scoping Review. Journal of Medical Internet Research 2020;22(12):e19127 View
  7. Siddique S, Chow J. Machine Learning in Healthcare Communication. Encyclopedia 2021;1(1):220 View
  8. Schuetzler R, Grimes G, Scott Giboney J. The impact of chatbot conversational skill on engagement and perceived humanness. Journal of Management Information Systems 2020;37(3):875 View
  9. Lee Y, Yamashita N, Huang Y. Exploring the Effects of Incorporating Human Experts to Deliver Journaling Guidance through a Chatbot. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW1):1 View
  10. Kolenik T, Gams M. Intelligent Cognitive Assistants for Attitude and Behavior Change Support in Mental Health: State-of-the-Art Technical Review. Electronics 2021;10(11):1250 View
  11. Shahbaazi P, Taklavi S, Narimani M. The Effectiveness of Motivational Interviewing on Situational Emotions and Temperament/Character Dimensions among Probationary University Students. Iranian Evolutionary and Educational Psychology 2021;3(1):1 View
  12. Beilharz F, Sukunesan S, Rossell S, Kulkarni J, Sharp G. Development of a Positive Body Image Chatbot (KIT) With Young People and Parents/Carers: Qualitative Focus Group Study. Journal of Medical Internet Research 2021;23(6):e27807 View
  13. Miklosik A, Evans N, Qureshi A. The Use of Chatbots in Digital Business Transformation: A Systematic Literature Review. IEEE Access 2021;9:106530 View
  14. Ollier J, Neff S, Dworschak C, Sejdiji A, Santhanam P, Keller R, Xiao G, Asisof A, Rüegger D, Bérubé C, Hilfiker Tomas L, Neff J, Yao J, Alattas A, Varela-Mato V, Pitkethly A, Vara M, Herrero R, Baños R, Parada C, Agatheswaran R, Villalobos V, Keller O, Chan W, Mishra V, Jacobson N, Stanger C, He X, von Wyl V, Weidt S, Haug S, Schaub M, Kleim B, Barth J, Witt C, Scholz U, Fleisch E, Wangenheim F, Car L, Müller-Riemenschneider F, Hauser-Ulrich S, Asomoza A, Salamanca-Sanabria A, Mair J, Kowatsch T. Elena+ Care for COVID-19, a Pandemic Lifestyle Care Intervention: Intervention Design and Study Protocol. Frontiers in Public Health 2021;9 View
  15. Rodriguez‐Arrastia M, Martinez‐Ortigosa A, Ruiz‐Gonzalez C, Ropero‐Padilla C, Roman P, Sanchez‐Labraca N. Experiences and perceptions of final‐year nursing students of using a chatbot in a simulated emergency situation: A qualitative study. Journal of Nursing Management 2022;30(8):3874 View
  16. Luo B, Lau R, Li C, Si Y. A critical review of state‐of‐the‐art chatbot designs and applications. WIREs Data Mining and Knowledge Discovery 2022;12(1) View
  17. Koulouri T, Macredie R, Olakitan D. Chatbots to Support Young Adults’ Mental Health: An Exploratory Study of Acceptability. ACM Transactions on Interactive Intelligent Systems 2022;12(2):1 View
  18. Huang B, Hao X, Long S, Ding R, Wang J, Liu Y, Guo S, Lu J, He M, Yao D. The Benefits of Music Listening for Induced State Anxiety: Behavioral and Physiological Evidence. Brain Sciences 2021;11(10):1332 View
  19. Mauriello M, Tantivasadakarn N, Mora-Mendoza M, Lincoln E, Hon G, Nowruzi P, Simon D, Hansen L, Goenawan N, Kim J, Gowda N, Jurafsky D, Paredes P. A Suite of Mobile Conversational Agents for Daily Stress Management (Popbots): Mixed Methods Exploratory Study. JMIR Formative Research 2021;5(9):e25294 View
  20. 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
  21. Dhinagaran D, Car L. Public perceptions of a healthy lifestyle change conversational agent in Singapore: A qualitative study. DIGITAL HEALTH 2022;8:205520762211311 View
  22. Abbas T, Gadiraju U, Khan V, Markopoulos P. Understanding User Perceptions of Response Delays in Crowd-Powered Conversational Systems. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  23. Ta-Johnson V, Boatfield C, Wang X, DeCero E, Krupica I, Rasof S, Motzer A, Pedryc W. Assessing the Topics and Motivating Factors Behind Human-Social Chatbot Interactions: Thematic Analysis of User Experiences. JMIR Human Factors 2022;9(4):e38876 View
  24. May R, Denecke K. Security, privacy, and healthcare-related conversational agents: a scoping review. Informatics for Health and Social Care 2022;47(2):194 View
  25. Pedamallu H, Ehrhardt M, Maki J, Carcone A, Hudson M, Waters E. Technology-Delivered Adaptations of Motivational Interviewing for the Prevention and Management of Chronic Diseases: Scoping Review. Journal of Medical Internet Research 2022;24(8):e35283 View
  26. You Y, Tsai C, Li Y, Ma F, Heron C, Gui X. Beyond Self-diagnosis: How a Chatbot-based Symptom Checker Should Respond. ACM Transactions on Computer-Human Interaction 2023;30(4):1 View
  27. Virmani D, Gupta C. AMIBO: intelligent social conversational agent using artificial intelligence. The Imaging Science Journal 2024;72(3):318 View
  28. Kang A, Hetrick S, Cargo T, Hopkins S, Ludin N, Bodmer S, Stevenson K, Holt-Quick C, Stasiak K. Exploring Young Adults’ Views About Aroha, a Chatbot for Stress Associated With the COVID-19 Pandemic: Interview Study Among Students. JMIR Formative Research 2023;7:e44556 View
  29. Al-Abdullatif A, Al-Dokhny A, Drwish A. Implementing the Bashayer chatbot in Saudi higher education: measuring the influence on students' motivation and learning strategies. Frontiers in Psychology 2023;14 View
  30. Brown A, Kumar A, Melamed O, Ahmed I, Wang Y, Deza A, Morcos M, Zhu L, Maslej M, Minian N, Sujaya V, Wolff J, Doggett O, Iantorno M, Ratto M, Selby P, Rose J. A Motivational Interviewing Chatbot With Generative Reflections for Increasing Readiness to Quit Smoking: Iterative Development Study. JMIR Mental Health 2023;10:e49132 View
  31. Powell L, Nour R, Sleibi R, Al Suwaidi H, Zary N. Democratizing the Development of Chatbots to Improve Public Health: Feasibility Study of COVID-19 Misinformation. JMIR Human Factors 2023;10:e43120 View
  32. Yorita A, Egerton S, Chan C, Kubota N. Chatbots and robots: a framework for the self-management of occupational stress. ROBOMECH Journal 2023;10(1) View
  33. Wrightson-Hester A, Anderson G, Dunstan J, McEvoy P, Sutton C, Myers B, Egan S, Tai S, Johnston-Hollitt M, Chen W, Gedeon T, Mansell W. An Artificial Therapist (Manage Your Life Online) to Support the Mental Health of Youth: Co-Design and Case Series. JMIR Human Factors 2023;10:e46849 View
  34. Alkoudmani R, Ooi G, Tan M. Implementing a chatbot on Facebook to reach and collect data from thousands of health care providers: PharmindBot as a case. Journal of the American Pharmacists Association 2023;63(5):1634 View
  35. Tseng Y, Jarupreechachan W, Lee T. Understanding the Benefits and Design of Chatbots to Meet the Healthcare Needs of Migrant Workers. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW2):1 View
  36. Han S, Hamilton X, Cai Y, Shao P, Liu M. Knowledge-based chatbots: a scale measuring students’ learning experiences in massive open online courses. Educational technology research and development 2023;71(6):2431 View
  37. Manning J, Blandford A, Edbrooke-Childs J. High School Teachers’ Experiences of Consumer Technologies for Stress Management During the COVID-19 Pandemic: Qualitative Study. JMIR Formative Research 2023;7:e50460 View
  38. Al-Abdullatif A. Modeling Students’ Perceptions of Chatbots in Learning: Integrating Technology Acceptance with the Value-Based Adoption Model. Education Sciences 2023;13(11):1151 View
  39. Jabir A, Lin X, Martinengo L, Sharp G, Theng Y, Tudor Car L. Attrition in conversational agent delivered mental health interventions: A systematic review and meta-analysis (Preprint). Journal of Medical Internet Research 2023 View
  40. Ding H, Simmich J, Vaezipour A, Andrews N, Russell T. Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review. Journal of the American Medical Informatics Association 2024;31(3):746 View
  41. Ab Razak N, Muhammad Yusoff M, O.K. Rahmat R. ChatGPT Review: A Sophisticated Chatbot Models in Medical & Health-related Teaching and Learning. Malaysian Journal of Medicine and Health Sciences 2023;19(s12):98 View
  42. 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
  43. Cingillioglu I. What impacts matriculation decisions? Identifying students’ university choice factors on a global scale with Artificial Intelligence. Studies in Higher Education 2024:1 View
  44. Kosyluk K, Baeder T, Greene K, Tran J, Bolton C, Loecher N, DiEva D, Galea J. Mental Distress, Label Avoidance, and Use of a Mental Health Chatbot: Results From a US Survey. JMIR Formative Research 2024;8:e45959 View
  45. Cingillioglu I, Gal U, Prokhorov A. AI-experiments in education: An AI-driven randomized controlled trial for higher education research. Education and Information Technologies 2024 View
  46. Nieves J, Osorio M, Rojas-Velazquez D, Magallanes Y, Brännström A. Digital Companions for Well-being: Challenges and Opportunities. Journal of Intelligent & Fuzzy Systems 2024:1 View
  47. Zhang S, Zhao X, Zhou T, Kim J. Do you have AI dependency? The roles of academic self-efficacy, academic stress, and performance expectations on problematic AI usage behavior. International Journal of Educational Technology in Higher Education 2024;21(1) View
  48. 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
  49. Limpanopparat S, Gibson E, Harris D. User engagement, attitudes, and the effectiveness of chatbots as a mental health intervention: A systematic review. Computers in Human Behavior: Artificial Humans 2024;2(2):100081 View

Books/Policy Documents

  1. Tjiptomongsoguno A, Chen A, Sanyoto H, Irwansyah E, Kanigoro B. Software Engineering Perspectives in Intelligent Systems. View
  2. Kolenik T. Integrating Artificial Intelligence and IoT for Advanced Health Informatics. View
  3. Raval H, Parikh S, Patel H. Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization. View
  4. Callejas Z, Fernández-Martínez F, Esposito A, Griol D. Applications of Artificial Intelligence and Neural Systems to Data Science. View