Assessing the Quality of ChatGPT’s Dietary Advice for College Students from Dietitians’ Perspectives

Abstract

BACKGROUND: As ChatGPT becomes a primary information source for college students, its performance in providing dietary advice is under scrutiny. This study assessed ChatGPT's performance in providing nutritional guidance to college students. METHODS: ChatGPT's performance on dietary advice was evaluated by 30 experienced dietitians and assessed using an objective nutrition literacy (NL) test. The dietitians were recruited to assess the quality of ChatGPT's dietary advice, including its NL achievement and response quality. RESULTS: The results indicate that ChatGPT's performance varies across scenarios and is suboptimal for achieving NL with full achievement rates from 7.50% to 37.56%. While the responses excelled in readability, they lacked understandability, practicality, and completeness. In the NL test, ChatGPT showed an 84.38% accuracy rate, surpassing the NL level of Taiwanese college students. The top concern among the dietitians, cited 52 times in 242 feedback entries, was that the "response information lacks thoroughness or rigor, leading to misunderstandings or misuse". Despite the potential of ChatGPT as a supplementary educational tool, significant gaps must be addressed, especially in detailed dietary inquiries. CONCLUSION: This study highlights the need for improved AI educational approaches and suggests the potential for developing ChatGPT teaching guides or usage instructions to train college students and support dietitians.

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