Evidence map›Paper›PMID 42447052›Full record

ArticleJMIR human factors2026

User Perspectives on Conversational Agents for Preventive Alcohol Self-Help: Qualitative Exploratory Study.

Marissa De Vries, Melissa Begeman, Marloes Derksen, Anna Goudriaan, Matthijs Blankers

Abstract read
In one paragraph

Article in JMIR human factors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Marissa De VriesDepartment of Research, Arkin Mental Health Care, Amsterdam Institute for Addiction Research, Klaprozenweg 111, Amsterdam, 1033NN, The Netherlands, +316 187 82 819.ORCID 0009-0007-1689-2209
Melissa BegemanDepartment of Research, Arkin Mental Health Care, Amsterdam Institute for Addiction Research, Klaprozenweg 111, Amsterdam, 1033NN, The Netherlands, +316 187 82 819.ORCID 0009-0002-5106-1324
Marloes DerksenDepartment of Medical Informatics, eHealth Living & Learning Lab Amsterdam, University of Amsterdam, Amsterdam University Medical Centers, Amsterdam, The Netherlands.ORCID 0000-0003-0372-7021
Anna GoudriaanDepartment of Research, Arkin Mental Health Care, Amsterdam Institute for Addiction Research, Klaprozenweg 111, Amsterdam, 1033NN, The Netherlands, +316 187 82 819.ORCID 0000-0001-8670-9384
Matthijs BlankersDepartment of Research, Arkin Mental Health Care, Amsterdam Institute for Addiction Research, Klaprozenweg 111, Amsterdam, 1033NN, The Netherlands, +316 187 82 819.ORCID 0000-0002-8821-3312

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alcohol use remains a major public health concern, and although preventive alcohol self-help interventions aim to support individuals in need of indicated prevention, they continue to face challenges related to low engagement and high attrition. Chatbots, also known as conversational agents (CAs), powered by artificial intelligence, may enhance engagement by offering personalized guidance and 24/7 availability. Yet, user perspectives on CAs in preventive alcohol self-help care remain largely unexplored. Objective: This paper aimed to gain insight into the diverse factors shaping the adoption of CAs in preventive alcohol self-help by qualitatively exploring users' expectations and concerns, complemented by descriptive questionnaire data on perceived usefulness, intention to use, comfort, and trust. Methods: This qualitative, exploratory study with a small purposive sample (N=12) included adults recruited from a Dutch digital alcohol self-help intervention and a client advisory board. Data were collected during an online focus group (n=8, 66.7%), 4 semistructured interviews (n=4, 33.3%), and a brief questionnaire administered to all participants in March 2025 and April 2025. The qualitative data were analyzed inductively using thematic analysis. Results: Qualitative findings showed that participants appreciated the 24/7 availability, practical guidance, and nonjudgmental stance of CAs but doubted their capacity for genuine empathy and authenticity. Participants emphasized that the conversational tone was important: CAs should be supportive without being overly agreeable and should be confrontational once trust is established. Concerns about undue influence arose occasionally, while privacy was viewed by 1 (8.3%) participant as a major issue. Descriptive questionnaire results showed that 11 (92%) participants had prior experience with CAs, whereas only 6 (50%) had experience with digital health interventions. Most participants considered CAs potentially useful for reducing alcohol use, yet few expressed strong intentions to use one themselves. Comfort and trust ratings were largely neutral, reflecting a cautious but generally open attitude toward CA use. Conclusions: CAs appear to hold promise as complementary tools for preventive alcohol self-help, although they are not perceived as replacements for human contact. Future design efforts should emphasize personalized interactions; an appropriate conversational tone, supportive yet not overly agreeable; and transparent communication about data use to enhance engagement and acceptance. The findings are descriptive and are not intended to be broadly generalizable.

Indexed as

Alcohol DrinkingCommunicationSelf CareAdultFemaleHumansMaleMiddle AgedNetherlandsQualitative ResearchSurveys and Questionnairesalcohol useconversational agentspreventive health carequalitative studyself-help

Identifiers

PMID42447052
PMCPMC13367319

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Registered trials

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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.