Understanding How Chatbot Phrasing Styles and Care Demonstration Influence Overweight Users' Adherence Intention Towards Chatbots Supporting Weight Management
Wen-Hsuan Cheng, Yi-Chieh Lee, Jack Jamieson, Wei-Han Wang, Wen-Chieh Lin
Abstract
Chatbots hold promise as a technology to aid in sustained weight management. However, determining the optimal way for chatbots to deliver advice to effectively change user behaviors remains a significant hurdle. This research investigates the effects of different chatbot communication styles and expressions of care on user satisfaction, misinterpretation, and intent to adhere to the advice in weight-related conversations. A mixed method study with 97 participants classified as overweight was conducted, dividing them into four groups based on explicit/implicit communication styles and the presence or absence of caring language. Surprisingly, the study found that most participants in the explicit communication groups viewed the chatbot as non-offensive. These participants also reported higher levels of enjoyment and a greater intention to follow the chatbot's recommendations. Utilizing caring language may diminish users' perception of the chatbot as a marketing tool, thereby increasing their willingness to interact. The article discusses the implications for the design of healthcare chatbots.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Related papers
- Polite But Boring? Trade-offs Between Engagement and Psychological Reactance to Chatbot Feedback StylesSamuel Rhys Cox, Joel Wester, Niels van BerkelCHI 2026 · 1 citation
- Supporting Effective Goal Setting with LLM-Based ChatbotsMichel Schimpf, Sebastian Maier, Anton Wyrowski, Lara Christoforakos et al.CHI 2026 · 2 citations
- Affective and Goal-Oriented Factors of Relationship Formation in the Digital Therapeutic Alliance: A Longitudinal Study of Mental Health ChatbotsZian Xu, Yi-Chieh Lee, Karolina Stasiak, Jim Warren et al.CHI 2026 · 2 citations
- User Perceptions of Extraversion in Chatbots after Repeated UseSarah Theres Völkel, Ramona Schödel, Lale Kaya, Sven MayerCHI 2022 · 37 citations
- Automated vs. Human Health Coaching: Exploring Participant and Practitioner ExperiencesElliot G. Mitchell, Rosa Maimone, Andrea Cassells, Jonathan N. Tobin et al.CSCW 2021 · 83 citations
