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The Potential of Generative AI in Personalized Nutrition

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

E-pub ahead of print

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The Potential of Generative AI in Personalized Nutrition. / Oewel, Bruna ; Guluzade, Lala; Zhu, Jun et al.
CHI 2024 Workshop : Designing (with) AI for Wellbeing. New York: ACM, 2024. p. 1-6.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Oewel, B, Guluzade, L, Zhu, J & Huang, Y 2024, The Potential of Generative AI in Personalized Nutrition. in CHI 2024 Workshop : Designing (with) AI for Wellbeing. ACM, New York, pp. 1-6, Designing (with) AI for Wellbeing Workshop at CHI 2024 , Hawaii, United States, 11/05/24.

APA

Oewel, B., Guluzade, L., Zhu, J., & Huang, Y. (2024). The Potential of Generative AI in Personalized Nutrition. In CHI 2024 Workshop : Designing (with) AI for Wellbeing (pp. 1-6). ACM. Advance online publication.

Vancouver

Oewel B, Guluzade L, Zhu J, Huang Y. The Potential of Generative AI in Personalized Nutrition. In CHI 2024 Workshop : Designing (with) AI for Wellbeing. New York: ACM. 2024. p. 1-6 Epub 2024 May 11.

Author

Oewel, Bruna ; Guluzade, Lala ; Zhu, Jun et al. / The Potential of Generative AI in Personalized Nutrition. CHI 2024 Workshop : Designing (with) AI for Wellbeing. New York : ACM, 2024. pp. 1-6

Bibtex

@inproceedings{99cb4dde591542f6bf38a448070cc173,
title = "The Potential of Generative AI in Personalized Nutrition",
abstract = "Advancements in Generative AI (GenAI) promise to deliver support for well-being. We conducted semi-structured interviews with 9 participants to gain insights into their expectations and requirements for personalized diets using ChatGPT. The study aimed to understand how ChatGPT and other GenAI tools could be leveraged to support individuals in achieving their personalized dietary goals. Our finding reveals that ChatGPT often failed to meet the participants{\textquoteright} personalized expectations and misinterpreted requests, thereby raising ethical concerns. We argue such concerns within the context of the four principles informed by healthcare ethics: autonomy, non-maleficence, beneficence, and justice.",
keywords = "nutrition, healthy eating, personalized diet, Artificial Intelligence, AI, Generative AI, GenAI, ChatGPT",
author = "Bruna Oewel and Lala Guluzade and Jun Zhu and Yuanhui Huang",
year = "2024",
month = may,
day = "11",
language = "English",
pages = "1--6",
booktitle = "CHI 2024 Workshop",
publisher = "ACM",
note = "Designing (with) AI for Wellbeing Workshop at CHI 2024 ; Conference date: 11-05-2024 Through 16-05-2024",
url = "https://designingwithaiforwellbeing.github.io/#Workshop_themes",

}

RIS

TY - GEN

T1 - The Potential of Generative AI in Personalized Nutrition

AU - Oewel, Bruna

AU - Guluzade, Lala

AU - Zhu, Jun

AU - Huang, Yuanhui

PY - 2024/5/11

Y1 - 2024/5/11

N2 - Advancements in Generative AI (GenAI) promise to deliver support for well-being. We conducted semi-structured interviews with 9 participants to gain insights into their expectations and requirements for personalized diets using ChatGPT. The study aimed to understand how ChatGPT and other GenAI tools could be leveraged to support individuals in achieving their personalized dietary goals. Our finding reveals that ChatGPT often failed to meet the participants’ personalized expectations and misinterpreted requests, thereby raising ethical concerns. We argue such concerns within the context of the four principles informed by healthcare ethics: autonomy, non-maleficence, beneficence, and justice.

AB - Advancements in Generative AI (GenAI) promise to deliver support for well-being. We conducted semi-structured interviews with 9 participants to gain insights into their expectations and requirements for personalized diets using ChatGPT. The study aimed to understand how ChatGPT and other GenAI tools could be leveraged to support individuals in achieving their personalized dietary goals. Our finding reveals that ChatGPT often failed to meet the participants’ personalized expectations and misinterpreted requests, thereby raising ethical concerns. We argue such concerns within the context of the four principles informed by healthcare ethics: autonomy, non-maleficence, beneficence, and justice.

KW - nutrition

KW - healthy eating

KW - personalized diet

KW - Artificial Intelligence

KW - AI

KW - Generative AI

KW - GenAI

KW - ChatGPT

UR - https://designingwithaiforwellbeing.github.io/#Workshop_themes

M3 - Conference contribution/Paper

SP - 1

EP - 6

BT - CHI 2024 Workshop

PB - ACM

CY - New York

T2 - Designing (with) AI for Wellbeing Workshop at CHI 2024

Y2 - 11 May 2024 through 16 May 2024

ER -