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dc.contributor.author
Fuchs, Klaus
dc.contributor.author
Haldimann, Mirella
dc.contributor.author
Zeltner, Michael
dc.contributor.author
Ilic, Alexander
dc.date.accessioned
2020-12-10T14:00:38Z
dc.date.available
2020-12-10T08:36:02Z
dc.date.available
2020-12-10T14:00:38Z
dc.date.issued
2020
dc.identifier.isbn
978-1-7336325-1-5
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/455706
dc.description.abstract
Food allergen declarations on packaged products lack coherent regulation, standardisation and therefore manifest in a variety of terminology. This unfortunately leads to a magnitude of preventable allergy-related outbreaks and emergencies, as consumers rely on allergen declaration for selfmanagement. Together with dieticians, we therefore developed a purchase-related barcode scanning mHealth application that utilises a standardised taxonomy of food allergens for the display of userfriendly digital food allergen labels. The application design allowed for an in-the-wild randomised controlled trial, randomly attributing users to two treatment groups that either received icon-based or text-based digital food allergen labels. 74 users met the eligibility criteria for our study. The findings suggest that users in both groups use the application similarly frequently, but users perceive iconbased allergen labels more recommendable and more useful than text-based labels. Especially, users with low fluency in the local language (German), and frequent travellers, both segments prone to food allergy related emergencies, prefer the icon-based label, indicating that standardised, icon-based digital food allergen declarations can complement current text-based declarations. Especially users who are travelling internationally or are non-fluent in their local language can benefit from languageagnostic icon-based digital food allergen labels
en_US
dc.language.iso
en
en_US
dc.publisher
Association for Information Systems
en_US
dc.subject
Food allergy
en_US
dc.subject
mHealth
en_US
dc.subject
Visualisation
en_US
dc.subject
Digital food alergy label
en_US
dc.subject
Nutrition
en_US
dc.title
Icon-based Digital Food Allergen Labels for Complementation of Text-based Declaration
en_US
dc.type
Conference Paper
ethz.book.title
ECIS 2020 Proceedings
en_US
ethz.pages.start
111
en_US
ethz.size
15 p.
en_US
ethz.event
28th European Conference on Information Systems (ECIS 2020) (virtual)
en_US
ethz.event.location
Marrakech, Morocco
en_US
ethz.event.date
June 15-17, 2020
en_US
ethz.notes
Research Papers. Due to the Coronavirus (COVID-19) the conference was conducted virtually.
en_US
ethz.publication.place
Atlanta, GA
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03681 - Fleisch, Elgar / Fleisch, Elgar
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03681 - Fleisch, Elgar / Fleisch, Elgar
en_US
ethz.identifier.url
https://aisel.aisnet.org/ecis2020_rp/111/
ethz.date.deposited
2020-12-10T08:36:25Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-12-10T14:00:55Z
ethz.rosetta.lastUpdated
2021-02-15T21:44:27Z
ethz.rosetta.versionExported
true
ethz.COinS
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