Understanding How Chatbot Phrasing Styles and Care Demonstration Influence Overweight Users' Adherence Intention Towards Chatbots Supporting Weight Management
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.
Authors
- Jack Jamieson (ORCID: https://orcid.org/0000-0002-8444-5722)
- Wen‐Chieh Lin (ORCID: https://orcid.org/0000-0002-9704-5373)
- Wen-Hsuan Cheng (ORCID: https://orcid.org/0009-0006-4842-8761)
- Wei-Han Wang
- Yi‐Chieh Lee (ORCID: https://orcid.org/0000-0002-5484-6066)
Institutions
- National Yang Ming Chiao Tung University (TW)
- National University of Singapore (SG)
- Naval Hospital Yokosuka Japan (JP)
Publication Details
- Journal
- Proceedings of the ACM on Human-Computer Interaction
- Published
- 2025-10-16
- DOI
- https://doi.org/10.1145/3757517
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00