Artificial intelligence-driven personalization for dietary and physical activity interventions: a systematic review of chatbot efficacy, design characteristics, and methodological quality
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...
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| Main Authors: | , , , , , , |
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| Format: | Book Section |
| Language: | en |
| Published: |
Universiti Teknologi MARA, Negeri Sembilan
2025
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/134822/1/134822.pdf https://ir.uitm.edu.my/id/eprint/134822/ |
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| Summary: | 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. |
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