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Human Centered Approach for Reducing Household Food Waste by Tracking Fridge Inventory and the Use of Mobile Application
Malmö University, Faculty of Technology and Society (TS).
Malmö University, Faculty of Technology and Society (TS).
2020 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Increasing amounts of food waste is becoming a problem in developed countries. This research project is about how to reduce food waste by tracking fridge inventory and the best-before date of fridge stored food by a smartphone application. Food waste occurs in several different ways. It can be found in the household, retail stores and in the catering and events sector. Food waste can also be classified as avoidable waste, possibly avoidable waste and unavoidable waste. This project focuses on the household sector and the use of a mobile application to track fridge inventory and best-before date. The purpose of the application is to try to reduce household food waste. There is previous research about reducing household food waste using mobile applications and they all take different approaches. This study focuses on building upon these previous approaches together with data gathered from our own questionnaire with Sweden as primary focus. The combined data results in our own mobile application solution that has been tested by users in Swedish households. The study’s research question is addressed by the use of the application during a period of one-week observation. Our data collection consists of the participants being interviewed at the end of the observation period. The interviews gathered information related to whether the users successfully reduced food wastage in their households.

Place, publisher, year, edition, pages
Malmö universitet/Teknik och samhälle , 2020. , p. 52
Keywords [en]
Smartphone, Application, Food waste, Household food waste, Mobile Application, best-before-date
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-20378Local ID: 32090OAI: oai:DiVA.org:mau-20378DiVA, id: diva2:1480251
Educational program
TS Datavetenskap och applikationsutveckling
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Available from: 2020-10-27 Created: 2020-10-27Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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