He Linwei, Basar Erkan, Wiers Reinout W, Antheunis Marjolijn L, Krahmer Emiel
Department of Communication and Cognition, Tilburg School of Humanities and Digital Sciences, Tilburg University, Tilburg, the Netherlands.
Behavioral Science Institute, Radboud University Nijmegen, Nijmegen, the Netherlands.
Internet Interv. 2025 Feb 4;39:100806. doi: 10.1016/j.invent.2025.100806. eCollection 2025 Mar.
Cigarette smoking poses a major public health risk, requiring scalable and accessible interventions. Chatbots offer a promising solution, given their potential in providing personalized, long-term interactions. Despite their promise, limited research has examined their efficacy and the intertwined relationship between user experience and effectiveness over an extended period of time.
In this prospective, single-arm study, we developed and evaluated , a 5-session chatbot intervention incorporating motivational interviewing and cognitive behavioral therapy to help smokers quit. engaged Dutch adult smokers ( = 102) in conversations covering topics such as setting a quit date, managing withdrawal and cravings, and relapse prevention. The primary outcome was the continuous abstinence rate at the end of the intervention, and secondary outcomes included 7-day point prevalence abstinence, self-efficacy, and cravings. User engagement, therapeutic alliance, and interaction satisfaction were measured weekly, and the trajectory was analyzed using Linear Mixed Models.
Following an intention-to-treat principle, 18.6 % of participants achieved continuous abstinence, and 37.3 % achieved 7-day point prevalence abstinence. Self-efficacy significantly improved over the intervention, and cravings decreased over time. A slight decreasing trend was observed in engagement and satisfaction, likely due to a novelty effect. However, the decrease did not affect the intervention's outcomes.
This study demonstrates the feasibility and initial usefulness of , highlighting the potential for chatbots in long-term cessation support. Future research should further validate these findings with randomized controlled trials. Additional efforts should focus on monitoring and maintaining user experience in the long term to enhance effectiveness.
吸烟对公众健康构成重大风险,需要可扩展且易于获得的干预措施。聊天机器人提供了一个有前景的解决方案,因为它们有潜力提供个性化的长期互动。尽管它们有前景,但在较长一段时间内,对其功效以及用户体验与有效性之间的相互关系的研究有限。
在这项前瞻性单臂研究中,我们开发并评估了一种包含动机性访谈和认知行为疗法的五阶段聊天机器人干预措施,以帮助吸烟者戒烟。该聊天机器人与102名荷兰成年吸烟者进行对话,内容涵盖设定戒烟日期、应对戒断反应和烟瘾以及预防复吸等主题。主要结局是干预结束时的持续戒烟率,次要结局包括7天点患病率戒烟率、自我效能感和烟瘾。每周测量用户参与度、治疗联盟和互动满意度,并使用线性混合模型分析其变化轨迹。
遵循意向性分析原则,18.6%的参与者实现了持续戒烟,37.3%的参与者实现了7天点患病率戒烟。自我效能感在干预过程中显著提高,烟瘾随时间减少。参与度和满意度呈轻微下降趋势,可能是由于新奇效应。然而,这种下降并未影响干预的结局。
本研究证明了该聊天机器人的可行性和初步有效性,突出了聊天机器人在长期戒烟支持方面的潜力。未来的研究应通过随机对照试验进一步验证这些发现。还应进一步努力长期监测和维持用户体验,以提高有效性。