ArticleJournal of medical Internet research2019
Designing a Chatbot for a Brief Motivational Interview on Stress Management: Qualitative Case Study.
Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
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Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Emerging Roles of AI in Self-Directed Stress Management: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Attrition in Conversational Agent-Delivered Mental Health Interventions: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- Impact of Computer-Mediated Versus Face-to-Face Motivational-Type Interviews on Participants' Language and Subsequent Cannabis Use: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- Review of the Use of Digital Therapeutics for Obesity Treatment: Toward a Psychological Phenotyping.Advances in nutrition (Bethesda, Md.) · 2026Review
- Are students dependent on AI in writing courses? Analyzing factors influencing dependence on generative AI through the I-PACE model.Frontiers in psychology · 2026Article
- New Doc on the Block: Scoping Review of AI Systems Delivering Motivational Interviewing for Health Behavior Change.Journal of medical Internet research · 2025Article
- Patients' attitudes toward artificial intelligence in dentistry and their trust in dentists.Oral radiology · 2025Article
- Generative AI in consumer health: leveraging large language models for health literacy and clinical safety with a digital health framework.Frontiers in digital health · 2025Review
- Facilitators of and Barriers to Teachers' Engagement With Consumer Technologies for Stress Management: Qualitative Study.Journal of medical Internet research · 2024Article
- Neural Conversational Agent for Weight Loss Counseling: Protocol for an Implementation and Feasibility Study.JMIR research protocols · 2024Article
- Ameliorating Racial Disparities in HIV Prevention via a Nurse-Led, AI-Enhanced Program for Pre-Exposure Prophylaxis Utilization Among Black Cisgender Women: Protocol for a Mixed Methods Study.JMIR research protocols · 2024Article
- Mental Distress, Label Avoidance, and Use of a Mental Health Chatbot: Results From a US Survey.JMIR formative research · 2024Article
- 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 · 2024Article
- Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Computational Psychotherapy System for Mental Health Prediction and Behavior Change with a Conversational Agent.Neuropsychiatric disease and treatment · 2024Article
- Democratizing the Development of Chatbots to Improve Public Health: Feasibility Study of COVID-19 Misinformation.JMIR human factors · 2023Article
- An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives.Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing · 2023Article
- High School Teachers' Experiences of Consumer Technologies for Stress Management During the COVID-19 Pandemic: Qualitative Study.JMIR formative research · 2023Article
- A Motivational Interviewing Chatbot With Generative Reflections for Increasing Readiness to Quit Smoking: Iterative Development Study.JMIR mental health · 2023Article
- Exploring Young Adults' Views About Aroha, a Chatbot for Stress Associated With the COVID-19 Pandemic: Interview Study Among Students.JMIR formative research · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn addition to addiction and substance abuse, motivational interviewing (MI) is increasingly being integrated in treating other clinical issues such as mental health problems. Most of the many technological adaptations of MI, however, have focused on delivering the action-oriented treatment, leaving its relational component unexplored or vaguely described. This study intended to design a conversational sequence that considers both technical and relational components of MI for a mental health concern.
objectiveThis case study aimed to design a conversational sequence for a brief motivational interview to be delivered by a Web-based text messaging application (chatbot) and to investigate its conversational experience with graduate students in their coping with stress.
methodsA brief conversational sequence was designed with varied combinations of MI skills to follow the 4 processes of MI. A Web-based text messaging application, Bonobot, was built as a research prototype to deliver the sequence in a conversation. A total of 30 full-time graduate students who self-reported stress with regard to their school life were recruited for a survey of demographic information and perceived stress and a semistructured interview. Interviews were transcribed verbatim and analyzed by Braun and Clarke's thematic method. The themes that reflect the process of, impact of, and needs for the conversational experience are reported.
resultsParticipants had a high level of perceived stress (mean 22.5 [SD 5.0]). Our findings included the following themes: Evocative Questions and Clichéd Feedback; Self-Reflection and Potential Consolation; and Need for Information and Contextualized Feedback. Participants particularly favored the relay of evocative questions but were less satisfied with the agent-generated reflective and affirming feedback that filled in-between. Discussing the idea of change was a good means of reflecting on themselves, and some of Bonobot's encouragements related to graduate school life were appreciated. Participants suggested the conversation provide informational support, as well as more contextualized feedback.
conclusionsA conversational sequence for a brief motivational interview was presented in this case study. Participant feedback suggests sequencing questions and MI-adherent statements can facilitate a conversation for stress management, which may encourage a chance of self-reflection. More diversified sequences, along with more contextualized feedback, should follow to offer a better conversational experience and to confirm any empirical effect.
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