research-article

Nutriflect: reflecting collective shopping behavior and nutrition

Authors:

Wolfgang H. Reitberger,

Wolfgang Spreicer,

Geraldine FitzpatrickAuthors Info & Claims

CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 3309 - 3318

https://doi.org/10.1145/2556288.2557384

Published: 26 April 2014 Publication History

Abstract

A poor nutritional state, as is the case for many people today, can increase risks for cancer, cardiovascular disease and obesity. Technology supported approaches could potentially be used to positively influence food consumption. We present the Nutriflect system, which utilizes users' shopping data to inform them about their long term shopping behavior. In an initial study we conducted structured interviews in grocery stores. Based on the results we implemented a system that visualized a household's collective shopping information via situated displays. The aim was to raise awareness about shopping habits and to enable reflection about nutrition without burdening the users with the manual entry of their eating habits. We evaluated the system in a 4 week field study in 8 households with 21 users. The results indicate that contextually situated displays, showing shopping patterns against personal nutrition goals, can foster a reflective and respectful approach towards better shopping and nutrition.

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Cited By

Bentvelzen MWoźniak PHerbes PStefanidi ENiess J(2022)Revisiting Reflection in HCIProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35172336:1(1-27)Online publication date: 29-Mar-2022
https://dl.acm.org/doi/10.1145/3517233
Marshall JJimenez-Pazmino PMetoyer RChawla N(2022)A Survey on Healthy Food Decision Influences Through Technological InnovationsACM Transactions on Computing for Healthcare10.1145/34945803:2(1-27)Online publication date: 3-Mar-2022
https://dl.acm.org/doi/10.1145/3494580
Yao YCai JDu KHou YMi H(2022)Establishing Design Consensus toward Next-Generation Retail: Data-Enabled Design Exploration and Participatory AnalysisProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517637(1-22)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517637
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Index Terms

Nutriflect: reflecting collective shopping behavior and nutrition
1. Human-centered computing

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cover image ACM Conferences

CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2014

4206 pages

ISBN:9781450324731

DOI:10.1145/2556288

General Chairs:
Matt Jones
Swansea University, Wales, UK
,
Philippe Palanque
Université Paul Sabatier, France
,
Program Chairs:
Albrecht Schmidt
University of Stuttgart, Germany
,
Tovi Grossman
Autodesk Research, Canada

Copyright © 2014 ACM.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Published: 26 April 2014

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CHI '14

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CHI '14: CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2014

Ontario, Toronto, Canada

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CHI '14 Paper Acceptance Rate 465 of 2,043 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Bentvelzen MWoźniak PHerbes PStefanidi ENiess J(2022)Revisiting Reflection in HCIProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35172336:1(1-27)Online publication date: 29-Mar-2022
https://dl.acm.org/doi/10.1145/3517233
Marshall JJimenez-Pazmino PMetoyer RChawla N(2022)A Survey on Healthy Food Decision Influences Through Technological InnovationsACM Transactions on Computing for Healthcare10.1145/34945803:2(1-27)Online publication date: 3-Mar-2022
https://dl.acm.org/doi/10.1145/3494580
Yao YCai JDu KHou YMi H(2022)Establishing Design Consensus toward Next-Generation Retail: Data-Enabled Design Exploration and Participatory AnalysisProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517637(1-22)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517637
Akbas SKuscu KYantac AErdem GSemsioglu SGurkan OGünay AVatansever AEskenazi T(2021)Qualitative Dimensions of Technology-Mediated Reflective Learning: The Case of VR Experience of PsychosisProceedings of the 27th ACM Symposium on Virtual Reality Software and Technology10.1145/3489849.3489869(1-10)Online publication date: 8-Dec-2021
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Bentvelzen MNiess JWoźniak PKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)The Technology-Mediated Reflection Model: Barriers and Assistance in Data-Driven ReflectionProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445505(1-12)Online publication date: 6-May-2021
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Jansen JNiemantsverdriet KBurghoorn ALovei PNeutelings IDeckers ENienhuijs SWakkary RAndersen KOdom WDesjardins APetersen M(2020)Design for Co-responsibilityProceedings of the 2020 ACM Designing Interactive Systems Conference10.1145/3357236.3395469(1537-1549)Online publication date: 3-Jul-2020
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Verame JCostanza EFischer JCrabtree ARamchurn SRodden TJennings NMandryk RHancock MPerry MCox A(2018)Learning from the Veg BoxProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3174021(1-13)Online publication date: 21-Apr-2018
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