Generating Personalized Pregnancy Nutrition Recommendations with GPT-Powered AI Chatbot

Chun Hua Tsai, Sathvik Kadire, Tejesvi Sreeramdas, Matthew VanOrmer, Melissa Thoene, Corrine Hanson, Ann Anderson Berry, Deepak Khazanchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Low socioeconomic status (SES) and inadequate nutrition during pregnancy are linked to health disparities and adverse outcomes, including an increased risk of preterm birth, low birth weight, and intrauterine growth restriction. AI-powered computational agents have enormous potential to address this challenge by providing nutrition guidelines or advice to patients with different health literacy and demographics. This paper presents our preliminary exploration of creating a GPT-powered AI chatbot called NutritionBot and investigates the implications for pregnancy nutrition recommendations. We used a user-centered design approach to define the target user persona and collaborated with medical professionals to co-design the chatbot. We integrated our proposed chatbot with ChatGPT to generate pregnancy nutrition recommendations tailored to patients’ lifestyles. Our contributions include introducing a design persona of a pregnant woman from an underserved population, co-designing a nutrition advice chatbot with healthcare experts, and sharing design implications for future GPT-based nutrition chatbots based on our preliminary findings.

Original languageEnglish (US)
Title of host publicationProceedings - 20th Global Information Systems for Crisis Response and Management Conference, ISCRAM 2023
PublisherInformation Systems for Crisis Response and Management, ISCRAM
Pages263-271
Number of pages9
ISBN (Electronic)9798218217495
StatePublished - 2023
Event20th Global Information Systems for Crisis Response and Management Conference, ISCRAM 2023 - Omaha, United States
Duration: May 28 2023May 31 2023

Publication series

NameProceedings of the International ISCRAM Conference
Volume2023-text
ISSN (Electronic)2411-3387

Conference

Conference20th Global Information Systems for Crisis Response and Management Conference, ISCRAM 2023
Country/TerritoryUnited States
CityOmaha
Period5/28/235/31/23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering

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