Abstract
This study examines the integration of the novel prompt generator, NExGEN, and ChatGPT on dietary and physical training adherence among team sport athletes over three months [1]. The research also evaluates changes in intermittent endurance performance using the Yo-Yo Intermittent Recovery Test Level 1 [2]. The study explores AI-driven models for personalized interventions, targeting gaps in prompt quality and chatbot efficacy in athletic dietary and physical training recommendations. The study recruited 21 team sport athletes (12 males, 9 females, aged 18–29 years) from Universiti Teknologi MARA. Participants completed a Physical Activity Readiness Questionnaire and baseline fitness tests, including the Yo-Yo Intermittent Recovery Test Level 1 [3]. Dietary adherence was scored weekly using Nutritionist Pro™, and NExGEN-ChatGPT tailored diet and exercise plans based on athlete-specific data, continuously refined using real-time feedback over three months.
Metadata
| Item Type: | Book Section |
|---|---|
| Creators: | Creators Email / ID Num. Manan, Syaza Hazwani UNSPECIFIED Mohd Dan, Azwa Suraya UNSPECIFIED Sazali, Razif UNSPECIFIED Md Yusoff, Yusandra UNSPECIFIED Zulqarnain, Muhammad UNSPECIFIED Haziq, Amrun UNSPECIFIED Linoby, Adam UNSPECIFIED |
| Subjects: | G Geography. Anthropology. Recreation > GV Recreation. Leisure > Sports |
| Divisions: | Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus |
| Keywords: | Artificial intelligence, Dietary adherence, Training compliance, Personalized training, Endurance athlete |
| Date: | February 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/116104 |
