Evidence map›Paper›PMID 30990463›Full record

ArticleJournal of medical Internet research2019

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

SoHyun Park, Jeewon Choi, Sungwoo Lee, Changhoon Oh, Changdai Kim, Soohyun La, Joonhwan Lee, Bongwon Suh

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. 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 · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

SoHyun ParkHuman Centered Computing Lab., Seoul National University, Seoul, Republic of Korea.ORCID 0000-0001-8703-0584
Jeewon ChoiHuman Computer Interaction + Design Lab., Seoul National University, Seoul, Republic of Korea.ORCID 0000-0001-7674-9315
Sungwoo LeeHuman Centered Computing Lab., Seoul National University, Seoul, Republic of Korea.ORCID 0000-0001-8447-7495
Changhoon OhHuman Centered Computing Lab., Seoul National University, Seoul, Republic of Korea.ORCID 0000-0002-3340-551X
Changdai KimDepartment of Education, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0002-8531-242X
Soohyun LaCenter for Campus Life and Culture, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0003-0552-7058
Joonhwan LeeHuman Computer Interaction + Design Lab., Seoul National University, Seoul, Republic of Korea.ORCID 0000-0002-3115-4024
Bongwon SuhHuman Centered Computing Lab., Seoul National University, Seoul, Republic of Korea.ORCID 0000-0001-5610-9265

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Adaptation, PsychologicalAdultCommunicationFeedbackFemaleHumansMaleMotivational InterviewingQualitative ResearchSurveys and Questionnairesconversational agentsmental healthmotivational interviewingstress management

Identifiers

PMID30990463
PMCPMC6488959

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.