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Author  |
Tsai, C.-H.; Kadire, S.; Sreeramdas, T.; VanOrmer, M.; Thoene, M.; Hanson, C.; Berry, A.A.; Khazanchi, D. |
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Title |
Generating Personalized Pregnancy Nutrition Recommendations with GPT-Powered AI Chatbot |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
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Pages |
263-271 |
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Keywords |
ChatGPT; Maternal and Infant Health; Nutrition; Health Literacy; Personas; HCI |
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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. |
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Address |
University of Nebraska at Omaha |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
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Language |
English |
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Original Title |
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Series Editor |
Hosssein Baharmand |
Series Title |
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Series Volume |
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Series Issue |
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Edition |
1 |
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Track |
Disaster Public Health and Healthcare Informatics |
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Conference |
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Notes |
http://dx.doi.org/10.59297/PZPJ9073 |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2524 |
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