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Klimatsmart matlagning: Automatisk presentation av recepts koldioxidutsläpp i webbläsaren
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2014 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

Denna studie undersöker om lättillgänglig information om matrecepts koldioxidutsläpp kan göra att människor väljer miljövänligare måltider. Studien genomfördes under realistiska förhållanden med hjälp av en webbaserad prototyp som automatiskt beräknar och presenterar olika matrecepts koldioxidutsläpp när användaren surfar på en webbplats med recept. Beteendet vid val av måltider studerades för en grupp om 15 personer, både med och utan användning av prototypen. Deltagarnas upplevelse av prototypen samlades in genom fokusgrupper. Användning av prototypen resulterade i en minskning av deltagarnas genomsnittliga koldioxidutsläpp med ca 2,2 kilo per måltid (45 %). Huvudorsaken till deltagarnas förändrade beteende var att prototypen ökade deras kunskap och medvetenhet om livsmedlens miljöpåverkan.

Abstract [en]

This study explores if people choose more environmental friendly meals if they are exposed to information about recipes’ carbon dioxide emission. To be able to conduct the study in a realistic way, a web based prototype was developed that automatically calculates and presents recipes’ carbon dioxide emission when the user is browsing a website with recipes. A group of 15 people was tracked when they made their choice of meals, both with and without the prototype. The users’ experience of the prototype was then collected during focus groups. The result of the study was that the participants decreased their emission with an average of 2.2 kilo per meal (45 %) due to the prototype. An increased knowledge and awareness about various foods’ environmental impact was the cause for this behavioral-change. 

Place, publisher, year, edition, pages
2014.
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-146211OAI: oai:DiVA.org:kth-146211DiVA: diva2:722821
Educational program
Master of Science in Engineering - Media Technology
Supervisors
Examiners
Available from: 2014-07-03 Created: 2014-06-09 Last updated: 2014-07-03Bibliographically approved

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b91866ff86d0a713513d7e39930eb475237f51555efd3084078b634e0520a366c5e3825a39c4bb73170f93793477b441efc1da2d763b792c6c77291629e1e394
Type fulltextMimetype application/pdf

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Media and Communication Technology

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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