Effectiveness and User Experience of a Smoking Cessation Chatbot: Mixed Methods Study Comparing Motivational
Linwei He1, Erkan Basar2, Emiel Krahmer1
1Department of Communication and Cognition, Tilburg School of Humanities and Digital Sciences, Tilburg University, Tilburg, Netherlands.
This study found that motivational interviewing (MI) chatbots significantly improved user experience for smoking cessation compared to confrontational chatbots. While MI enhanced engagement, both chatbot styles increased smokers' intention to quit and self-efficacy.
Area of Science:
- Digital Health
- Behavioral Science
- Public Health
Background:
- Cigarette smoking is a significant public health concern.
- Chatbots offer accessible, personalized support for smoking cessation.
- Evaluating chatbot counseling strategies is crucial for effectiveness.
Purpose of the Study:
- Identify effective chatbot counseling strategies for smoking cessation.
- Understand smokers' expectations and experiences with cessation chatbots.
Main Methods:
- Mixed-methods study with a web-based experiment (N=229) and interviews (N=16).
- Compared motivational interviewing (MI)-style vs. confrontational counseling chatbots.
- Assessed cessation-related and user experience outcomes.
Main Results:
- MI chatbots received significantly higher overall ratings than confrontational chatbots.
- Improved user experience, particularly engagement, explained MI chatbot preference.
- Both MI and confrontational chatbots increased intention to quit and self-efficacy.
Conclusions:
- Chatbots show promise for smoking cessation support.
- Motivational interviewing enhances user experience with cessation chatbots.
- Smokers have relational and instrumental needs during cessation.
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