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Capturing Young People s Interest in Food Waste Reduction: An Approach Using Qualitative Reasoning

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Abstract

According to the United Nations Food and Agriculture Organization (FAO) more than one third of the food produced globally is lost or wasted. This tremendous amount of food waste highlights the urgent need to investigate this phenomenon promptly with powerful methods in order to reduce it. In the present work, we consider a qualitative reasoning approach in an attempt to understand people's interest in the food waste (FW) problem. To do so, we have run an in-person taste experiment and have acquired data from 188 participants. We apply a measure based on a cosine similarity to capture the degree of interest towards the environment as individuals respond to the New Environmental Paradigm scale (NEP). Previously, they had to decide on whether a piece of fruit allegedly coming from the supermarket is better than another one allegedly coming from an alternative source such as applications designed to reduce food waste. We are using the taste experiment and the questions as a base to gain a more in-depth understanding of the drivers behind FW.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development - Proceedings of the 25th International Conference of the Catalan Association for Artificial Intelligence
EditorsIsmael Sanz, Raquel Ros, Jordi Nin
PublisherIOS Press BV
ChapterPart 4
Pages256-261
Number of pages6
Volume375
ISBN (Electronic)978-1-64368-449-9
ISBN (Print)978-1-64368-448-2
DOIs
Publication statusPublished - 19 Oct 2023
Event25th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2023 - Barcelona, Spain
Duration: 25 Oct 202327 Oct 2023

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume375
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference25th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2023
Country/TerritorySpain
CityBarcelona
Period25/10/2327/10/23

Keywords

  • experimental data
  • food waste
  • Qualitative reasoning
  • similarity measures
  • sustainable decision-making

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