Eat-IT: Towards Understanding Interactive Technology and Food (Dagstuhl Seminar 22272)

F. Mueller, Marianna Obrist, Soh Kim, M. Inami, Jialin Deng
{"title":"Eat-IT: Towards Understanding Interactive Technology and Food (Dagstuhl Seminar 22272)","authors":"F. Mueller, Marianna Obrist, Soh Kim, M. Inami, Jialin Deng","doi":"10.4230/DagRep.12.7.19","DOIUrl":null,"url":null,"abstract":"Eating is a basic human need while technology is transforming the way we cook and eat food. For example, see the internet-connected Thermomix cooking appliance, desserts using virtual reality headsets, projection mapping on dinner plates and 3D-printed food in Michelin-star restaurants. Especially within the field of Human-Computer Interaction (HCI), there is a growing interest in understanding the design of technology to support the eating experience. There is a realization that technology can both be instrumentally beneficial (e.g. improving health through better food choices) as well as experientially beneficial (e.g. enriching eating experiences). Computational technology can make a significant contribution here, as it allows to, for example, present digital data through food (drawing from visualization techniques and fabrication advances such as 3D-food printing); facilitate technology-augmented behaviour change to promote healthier eating choices; employ big data across suppliers to help choose more sustainable produce (drawing on IoT kitchen appliances); use machine learning to predictively model eating behaviour; employ mixed-reality to facilitate novel eating experiences; and turn eating into a spectacle through robots that support cooking and serving actions. The aim of this Dagstuhl seminar called “Eat-IT” was to discuss these opportunities and challenges by bringing experts and stakeholders with different backgrounds from academia and industry together to formulate actionable strategies on how interactive food can benefit from computational technology yet not distract from the eating experience itself. With this seminar, we wanted to enable a healthy and inclusive debate on the interwoven future of food and computational technology","PeriodicalId":91064,"journal":{"name":"Dagstuhl reports","volume":"12 1","pages":"19-40"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dagstuhl reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4230/DagRep.12.7.19","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

Eating is a basic human need while technology is transforming the way we cook and eat food. For example, see the internet-connected Thermomix cooking appliance, desserts using virtual reality headsets, projection mapping on dinner plates and 3D-printed food in Michelin-star restaurants. Especially within the field of Human-Computer Interaction (HCI), there is a growing interest in understanding the design of technology to support the eating experience. There is a realization that technology can both be instrumentally beneficial (e.g. improving health through better food choices) as well as experientially beneficial (e.g. enriching eating experiences). Computational technology can make a significant contribution here, as it allows to, for example, present digital data through food (drawing from visualization techniques and fabrication advances such as 3D-food printing); facilitate technology-augmented behaviour change to promote healthier eating choices; employ big data across suppliers to help choose more sustainable produce (drawing on IoT kitchen appliances); use machine learning to predictively model eating behaviour; employ mixed-reality to facilitate novel eating experiences; and turn eating into a spectacle through robots that support cooking and serving actions. The aim of this Dagstuhl seminar called “Eat-IT” was to discuss these opportunities and challenges by bringing experts and stakeholders with different backgrounds from academia and industry together to formulate actionable strategies on how interactive food can benefit from computational technology yet not distract from the eating experience itself. With this seminar, we wanted to enable a healthy and inclusive debate on the interwoven future of food and computational technology
Eat-IT:迈向了解互动科技与食物(Dagstuhl研讨会22272)
吃饭是人类的基本需求,而科技正在改变我们烹饪和食用食物的方式。例如,可以上网的Thermomix烹饪设备、使用虚拟现实头戴式耳机的甜点、餐盘上的投影映射以及米其林星级餐厅的3d打印食物。特别是在人机交互(HCI)领域,人们对理解支持饮食体验的技术设计越来越感兴趣。人们认识到,技术既可以在工具上有益(例如通过更好的食物选择改善健康),也可以在体验上有益(例如丰富饮食体验)。计算技术可以在这方面做出重大贡献,因为它允许,例如,通过食品呈现数字数据(从可视化技术和制造进步中提取,如3d食品打印);促进技术增强的行为改变,以促进更健康的饮食选择;利用供应商之间的大数据来帮助选择更可持续的产品(利用物联网厨房电器);使用机器学习来预测饮食行为;采用混合现实,促进新颖的饮食体验;通过支持烹饪和上菜动作的机器人,把吃饭变成一场奇观。这次名为“Eat-IT”的研讨会的目的是通过将来自学术界和工业界的不同背景的专家和利益相关者聚集在一起,就交互式食品如何从计算技术中受益而不分散饮食体验本身制定可操作的策略,来讨论这些机遇和挑战。通过这次研讨会,我们希望就食品和计算技术相互交织的未来展开一场健康而包容的辩论
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
自引率
0.00%
发文量
0
×
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:481959085
Book学术官方微信