Abstract
This systematic review evaluates the effectiveness and design quality of AI-driven conversational agents in promoting physical activity, healthy diet, and weight management among adults. By searching major databases through January 2025 and screening English-language studies including RCTs and quasi-experimental designs the research appraises chatbot features, theoretical frameworks, and methodological rigor using tools like Cochrane RoB 2 and GRADE. The study addresses existing gaps in fragmented literature by synthesizing how specific conversational elements and intervention durations influence lifestyle outcomes, ultimately providing a standardized framework to inform the development of future AI-powered health coaching interventions.
Metadata
| Item Type: | Book Section |
|---|---|
| Creators: | Creators Email / ID Num. Rizal, Akhmal UNSPECIFIED Sazali, Razif UNSPECIFIED Md Yusoff, Yusandra UNSPECIFIED Zulqarnain, Muhammad UNSPECIFIED Haziq, Amrun UNSPECIFIED Adnan, Aizzat UNSPECIFIED Linoby, Adam UNSPECIFIED |
| Subjects: | L Education > LB Theory and practice of education > Teaching (Principles and practice) > Technology. Educational technology T Technology > T Technology (General) > Information technology. Information systems W General Medicine. Health Professions > WA Public Health |
| Divisions: | Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus |
| Page Range: | pp. 22-23 |
| Keywords: | Artificial intelligence, chatbots, lifestyle coaching, systematic review |
| Date: | October 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/134822 |
