Supporting healthier food choices through AI-tailored advice: A research agenda

Alain D. Starke , Jutta Dierkes , Gülen Arslan Lied , Gloria A.B. Kasangu , Christoph Trattner
{"title":"Supporting healthier food choices through AI-tailored advice: A research agenda","authors":"Alain D. Starke ,&nbsp;Jutta Dierkes ,&nbsp;Gülen Arslan Lied ,&nbsp;Gloria A.B. Kasangu ,&nbsp;Christoph Trattner","doi":"10.1016/j.pecinn.2025.100372","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>To develop a research agenda to investigate the effectiveness of AI-tailored advice to support healthier home cooking. It aims to support healthier food choice in the context of hypertension, allergies, and sustainable diets.</div></div><div><h3>Methods</h3><div>We describe an agenda that has been formed between 2019 and 2022, through multiple rejected grant applications to the Research Council of Norway. We focus on the case of tailored recipe advice for individuals, formulating research questions and methods for three topics: “Acceptance of Personalized Food Advice”, “Algorithm and Interface AI: App Development”, and “Nutrition Modeling &amp; Clinical Trials”. The overall methodology focuses on mitigating health issues among individuals with hypertension.</div></div><div><h3>Conclusion</h3><div>The design of AI to support healthier home cooking should tap into computational principles, as well as (psychological) theories of behavioral change. The effectiveness of an AI-driven home cooking app can be evaluated in a clinical trial akin to ‘regular’ dietary intervention studies.</div></div><div><h3>Innovation</h3><div>The development of a research agenda requires an integrated effort between scientists from different domains, during both the development and writeup of ideas. The proposed project is innovative, as most food technology and AI approaches have yet to be tested in proper trials on changes in eating habits.</div></div>","PeriodicalId":74407,"journal":{"name":"PEC innovation","volume":"6 ","pages":"Article 100372"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11786099/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PEC innovation","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772628225000019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Objective

To develop a research agenda to investigate the effectiveness of AI-tailored advice to support healthier home cooking. It aims to support healthier food choice in the context of hypertension, allergies, and sustainable diets.

Methods

We describe an agenda that has been formed between 2019 and 2022, through multiple rejected grant applications to the Research Council of Norway. We focus on the case of tailored recipe advice for individuals, formulating research questions and methods for three topics: “Acceptance of Personalized Food Advice”, “Algorithm and Interface AI: App Development”, and “Nutrition Modeling & Clinical Trials”. The overall methodology focuses on mitigating health issues among individuals with hypertension.

Conclusion

The design of AI to support healthier home cooking should tap into computational principles, as well as (psychological) theories of behavioral change. The effectiveness of an AI-driven home cooking app can be evaluated in a clinical trial akin to ‘regular’ dietary intervention studies.

Innovation

The development of a research agenda requires an integrated effort between scientists from different domains, during both the development and writeup of ideas. The proposed project is innovative, as most food technology and AI approaches have yet to be tested in proper trials on changes in eating habits.
通过人工智能量身定制的建议支持更健康的食物选择:一项研究议程。
目的:制定一项研究议程,调查人工智能量身定制的建议对支持更健康的家庭烹饪的有效性。它旨在支持在高血压、过敏和可持续饮食的背景下选择更健康的食物。方法:我们描述了2019年至2022年之间形成的议程,通过向挪威研究委员会提交的多项被拒绝的拨款申请。我们以个性化食谱建议为案例,针对“个性化饮食建议的接受”、“算法与界面AI: App开发”、“营养建模与临床试验”三个主题,制定研究问题与方法。总体方法侧重于减轻高血压患者的健康问题。结论:支持健康家庭烹饪的人工智能设计应该利用计算原理,以及行为改变的(心理学)理论。人工智能驱动的家庭烹饪应用程序的有效性可以在类似于“常规”饮食干预研究的临床试验中进行评估。创新:研究议程的制定需要来自不同领域的科学家在想法的发展和撰写过程中共同努力。拟议中的项目具有创新性,因为大多数食品技术和人工智能方法尚未在饮食习惯变化的适当试验中得到检验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
PEC innovation
PEC innovation Medicine and Dentistry (General)
CiteScore
0.80
自引率
0.00%
发文量
0
审稿时长
147 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信