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

IF 3.9 Q2 HEALTH CARE SCIENCES & SERVICES
JMIR Human Factors Pub Date : 2026-07-14 DOI:10.2196/86752
Marissa De Vries, Melissa Begeman, Marloes Derksen, Anna Goudriaan, Matthijs Blankers
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引用次数: 0

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.

预防性酒精自助对话代理的用户视角:定性探索性研究。
背景:酒精使用仍然是一个主要的公共卫生问题,尽管预防性酒精自助干预措施旨在支持需要明确预防的个人,但它们仍然面临与低参与度和高损耗率相关的挑战。聊天机器人,也被称为会话代理(ca),由人工智能驱动,可以通过提供个性化指导和全天候可用性来提高参与度。然而,用户对ca在预防性酒精自助护理中的看法在很大程度上仍未得到探索。目的:本文旨在通过定性地探索用户的期望和关注,并辅以描述性问卷调查数据,如感知有用性、使用意图、舒适度和信任,深入了解影响ca在预防性酒精自助中应用的各种因素。方法:本定性探索性研究采用小样本(N=12),包括从荷兰数字酒精自助干预和客户咨询委员会招募的成年人。在2025年3月和2025年4月,通过在线焦点小组(n=8,占66.7%)、4次半结构化访谈(n=4,占33.3%)和一份简短问卷对所有参与者进行数据收集。采用主题分析法对定性数据进行归纳分析。结果:定性研究结果显示,参与者欣赏ca的全天候可用性、实用指导和非判断立场,但怀疑他们真正的同理心和真实性的能力。与会者强调,对话的语气很重要:ca应该是支持的,而不是过于随和的,一旦建立了信任,应该是对抗的。偶尔会出现对不当影响的担忧,而1名(8.3%)与会者认为隐私是一个主要问题。描述性问卷调查结果显示,11名(92%)参与者先前有ca的经验,而只有6名(50%)参与者有数字健康干预的经验。大多数与会者认为人工兴奋剂可能有助于减少酒精使用,但很少有人表示自己有使用人工兴奋剂的强烈意图。舒适和信任评级基本上是中性的,反映了对CA使用的谨慎但总体上开放的态度。结论:人工智能似乎有望成为预防性酒精自助的补充工具,尽管它们不被视为人类接触的替代品。未来的设计工作应该强调个性化交互;适当的谈话语气,支持但不要过于随和;以及关于数据使用的透明沟通,以提高参与度和接受度。这些发现是描述性的,并不打算广泛推广。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
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