A Preliminary Analysis of AI Chatbots for Individualized Nutrition Advice

Lok Tin Wong, Kwok Tai Chui, Sally Shuk Han Pang, Jiaqi Liu, Edmond King Sing Fong, Lap Kei Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The rapid development of AI chatbots receives increasing recognition in different applications. Nutrition is an important topic because the general public values health. A lot of general nutrition advice can be found on the Internet. However, many people or patients desire individualized nutrition advice from dietitians. Given the availability of various free or low-cost AI chatbots, attention is drawn to individualized nutrition advice using AI chatbots. This research studied three common AI chatbots: ChatGPT-3.5, YouChat, and Microsoft Bing. The results of selected prompts are investigated and compared. Comments from dietitians on the limitations of AI chatbots are also shared. Further research is needed to investigate the design of prompts, i.e., asking appropriate questions with a good level of detail to the AI chatbots and having follow-up conversations to obtain better individualized nutrition advice.

Original languageEnglish
Title of host publicationProceedings - 2024 International Symposium on Educational Technology, ISET 2024
EditorsKwok Tai Chui, Yan Keung Hui, Dingqi Yang, Lap-Kei Lee, Leung-Pun Wong, Barry Lee Reynolds
Pages70-74
Number of pages5
ISBN (Electronic)9798350361414
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event10th International Symposium on Educational Technology, ISET 2024 - Macao, China
Duration: 29 Jul 20241 Aug 2024

Publication series

NameProceedings - 2024 International Symposium on Educational Technology, ISET 2024

Conference

Conference10th International Symposium on Educational Technology, ISET 2024
Country/TerritoryChina
CityMacao
Period29/07/241/08/24

Keywords

  • AI chatbot
  • ChatGPT
  • Microsoft Bing
  • YouChat
  • nutrition advice
  • nutritional science

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