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Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption

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Advances in Conceptual Modeling (ER 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14319))

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Abstract

The significance of food is evident in the myriad challenges confronting contemporary society, including the increasing prevalence of diet-related diseases, food waste with its adverse economic, environmental, and social impacts, and the significant impact of food production on environmental issues, among others. As the negative health and environmental impacts of dietary patterns become more evident, there is a growing demand for personalized and sustainable food recommendations to promote healthier and planet-friendly choices. This study aims to enrich the theoretical underpinnings of food recommender systems with an emphasis on sustainable food consumption, by integrating insights from existing research, behavior change theories, and Industry 5.0 digitization concepts on humanity-centered technologies.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering and Business Information Systems, University of Twente, Enschede, The Netherlands

    Gayane Sedrakyan, Anand Gavai & Jos van Hillegersberg

Authors
  1. Gayane Sedrakyan
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  2. Anand Gavai
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  3. Jos van Hillegersberg
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Corresponding author

Correspondence to Gayane Sedrakyan .

Editor information

Editors and Affiliations

  1. University of Twente, Enschede, The Netherlands

    Tiago Prince Sales

  2. Universidade Nova de Lisboa, Caparica, Portugal

    João Araújo

  3. Universidade de Lisboa, Lisbon, Portugal

    José Borbinha

  4. University of Twente, Enschede, The Netherlands

    Giancarlo Guizzardi

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Sedrakyan, G., Gavai, A., van Hillegersberg, J. (2023). Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption. In: Sales, T.P., Araújo, J., Borbinha, J., Guizzardi, G. (eds) Advances in Conceptual Modeling. ER 2023. Lecture Notes in Computer Science, vol 14319. Springer, Cham. https://doi.org/10.1007/978-3-031-47112-4_29

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  • DOI: https://doi.org/10.1007/978-3-031-47112-4_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-47111-7

  • Online ISBN: 978-3-031-47112-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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