FoodCoach: Societal Implications of Digital Receipt-based Diet Monitoring & Interventions enabled by Graph Analytics Techniques
Type
fundamental research project
Start Date
November 1, 2019
End Date
October 31, 2022
Acronym
FoodCoach
Status
ongoing
Keywords
digital health
diet
food
nutrition
health
social structuring of digital health use
lived experience
digital receipt-based diet monitoring
machine learning
Description
Diet-related non-communicable diseases are the leading cause of mortality worldwide, accounting for more deaths than all other, non-diet-related mortality causes combined (Forouzanfar et al., 2015). Previous research on developing effective strategies to improve dietary consumption primarily focus on the individual level (Schneider, 2019), on monitoring dietary intake and behavioral interventions influencing dietary habits. Unfortunately, until today, such strategies that are enabled by digital dietary self-tracking remain limited by resource- and personal constraints (Vignerová et al. 2011), are discontinued due to the manual logging involved (Fuchs et al. 2018), are not tailored to the individual (Brug et al. 2003), or suffer under self-selection of healthy individuals (König et al. 2018).
Aiming to overcome these drawbacks, this interdisciplinary Swiss-Korean research collaboration entitled ‘FoodCoach’ proposes a novel, scalable and tailored approach towards diet monitoring and interventions. Therefore, we plan to apply artificial intelligence to process customers’ automatically collected digital receipts from grocery purchases in order to i) estimate households’ and individual dietary behavior, and ii) tailor adaptive interventions to participants, based on their purchase behavior and estimated nutritional context, in order to support healthier food choices.
Thereby, ‘FoodCoach’ aims to overcome the contemporary limitations of modern diet-related mobile health applications (mHealth). Simultaneously, the proposed project identifies potential adoption drivers (e.g. convenience) and barriers (e.g. privacy concerns) by exploring people’s lived experience of digital receipt-based dietary tracking based on survey and focus group research. This affords the opportunity for users’ responses (but also non-users’ responses) to co-shape the set-up of the study, the design of the interfaces, as well as the kinds of information and hence interventions provided. The project aims to compile the largest digital receipt-based diet panel globally and assess this novel approach’s accuracy, scalability, efficacy and ability to reach previously uninvolved users, an important prerequisite in the mitigation of diet-related diseases.
Aiming to overcome these drawbacks, this interdisciplinary Swiss-Korean research collaboration entitled ‘FoodCoach’ proposes a novel, scalable and tailored approach towards diet monitoring and interventions. Therefore, we plan to apply artificial intelligence to process customers’ automatically collected digital receipts from grocery purchases in order to i) estimate households’ and individual dietary behavior, and ii) tailor adaptive interventions to participants, based on their purchase behavior and estimated nutritional context, in order to support healthier food choices.
Thereby, ‘FoodCoach’ aims to overcome the contemporary limitations of modern diet-related mobile health applications (mHealth). Simultaneously, the proposed project identifies potential adoption drivers (e.g. convenience) and barriers (e.g. privacy concerns) by exploring people’s lived experience of digital receipt-based dietary tracking based on survey and focus group research. This affords the opportunity for users’ responses (but also non-users’ responses) to co-shape the set-up of the study, the design of the interfaces, as well as the kinds of information and hence interventions provided. The project aims to compile the largest digital receipt-based diet panel globally and assess this novel approach’s accuracy, scalability, efficacy and ability to reach previously uninvolved users, an important prerequisite in the mitigation of diet-related diseases.
Partner(s)
Prof. Jaewook Byun
Dr. Sangtae Kim
Klaus Fuchs
Funder
Notes
Participate in the study via this link: https://bitsabout.me/de/nutri-score/
Range
HSG + other universities
Range (De)
HSG + andere
Principal
Prof. Tanja Schneider
Eprints ID
247802
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Item type:Publication, Promising future health through dietary tracking apps: An ethnography of digital data-human assemblages(2021-02-15); In the face of growing numbers of people living with chronic diseases, many public efforts are being undertaken to inform and educate ciFzens to take care of their health. Frequently, technological soluFons such as self-tracking apps play a crucial role in supporFng these efforts and raise hopes and promises. Both diet and physical acFvity are at the heart of iniFaFves and projects, both public and private, aiming at reducing the chances of developing cardiovascular diseases, diabetes etc. The self-monitoring of dietary intakes, food consumpFons and steps are at first sight among the simplest acFons to be carried out by ciFzens themselves. Geared towards facilitaFng individual self-regulaFon, dietary tracking offers many promises and many hopes are therefore pinned on them. Drawing from the observaFon and implementaFon of a project that aims at developing a socially acceptable digital receipt-based diet monitoring mobile health applicaFon, we present the ways in which promises of a beLer self are elaborated, performed and embedded in the collaboraFon between several actors. More specifically, we discuss how these collaboraFons contribute in legiFmising these promises and explore potenFal for intervenFon from an STS perspecFve. We wish to do this with the aim of shedding light on the role of science and, more recently, of the involvement of the social and human dimension of technology through the collaboraFons between both the designers and the users, and engineer sciences and social sciences in dealing with the uncertainty and fragility of the outcomes in relaFon to the use itself and the enhancement of health. Beyond human assemblages we also aLend to the digital data- human assemblages (Lupton, 2016) in the project we study.Type:conference paper