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

Gayane Sedrakyan; Anand Gavai; Jos van Hillegersberg

doi:10.1007/978-3-031-47112-4_29

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

Gayane Sedrakyan^*, Anand Gavai, Jos van Hillegersberg

^*Corresponding author for this work

Industrial Engineering & Business Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

134 Downloads (Pure)

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.

Original language	English
Title of host publication	Advances in Conceptual Modeling - ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Proceedings
Editors	Tiago Prince Sales, Giancarlo Guizzardi, João Araújo, José Borbinha
Place of Publication	Cham, Switzerland
Publisher	Springer Nature
Pages	312-328
Number of pages	17
ISBN (Electronic)	978-3-031-47112-4
ISBN (Print)	978-3-031-47111-7
DOIs	https://doi.org/10.1007/978-3-031-47112-4_29
Publication status	Published - 26 Oct 2023
Event	42nd International Conference on Conceptual Modeling, ER 2023 - Congress Center of the Instituto Superior Técnico, Lisbon, Portugal Duration: 6 Nov 2023 → 9 Nov 2023 Conference number: 42 https://er2023.inesc-id.pt/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	14319
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	42nd International Conference on Conceptual Modeling, ER 2023
Abbreviated title	ER
Country/Territory	Portugal
City	Lisbon
Period	6/11/23 → 9/11/23
Internet address	https://er2023.inesc-id.pt/

Keywords

2023 OA procedure
Human-centric food recommender
Nutrition consumption behavior
Privacy-aware food recommender
Sustainable food consumption
Food recommender

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-47112-4_29

ArticleFinal published version, 550 KBLicence: Taverne

Cite this

Sedrakyan, G., Gavai, A., & van Hillegersberg, J. (2023). Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption. In T. P. Sales, G. Guizzardi, J. Araújo, & J. Borbinha (Eds.), Advances in Conceptual Modeling - ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Proceedings (pp. 312-328). (Lecture Notes in Computer Science; Vol. 14319). Springer Nature. https://doi.org/10.1007/978-3-031-47112-4_29

Sedrakyan, Gayane ; Gavai, Anand ; van Hillegersberg, Jos. / Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption. Advances in Conceptual Modeling - ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Proceedings. editor / Tiago Prince Sales ; Giancarlo Guizzardi ; João Araújo ; José Borbinha. Cham, Switzerland : Springer Nature, 2023. pp. 312-328 (Lecture Notes in Computer Science).

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Sedrakyan, G, Gavai, A & van Hillegersberg, J 2023, Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption. in TP Sales, G Guizzardi, J Araújo & J Borbinha (eds), Advances in Conceptual Modeling - ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Proceedings. Lecture Notes in Computer Science, vol. 14319, Springer Nature, Cham, Switzerland, pp. 312-328, 42nd International Conference on Conceptual Modeling, ER 2023, Lisbon, Portugal, 6/11/23. https://doi.org/10.1007/978-3-031-47112-4_29

Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption. / Sedrakyan, Gayane; Gavai, Anand; van Hillegersberg, Jos.
Advances in Conceptual Modeling - ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Proceedings. ed. / Tiago Prince Sales; Giancarlo Guizzardi; João Araújo; José Borbinha. Cham, Switzerland: Springer Nature, 2023. p. 312-328 (Lecture Notes in Computer Science; Vol. 14319).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption

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AU - Gavai, Anand

AU - van Hillegersberg, Jos

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KW - Nutrition consumption behavior

KW - Privacy-aware food recommender

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A2 - Guizzardi, Giancarlo

A2 - Araújo, João

A2 - Borbinha, José

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ER -

Sedrakyan G, Gavai A, van Hillegersberg J. Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption. In Sales TP, Guizzardi G, Araújo J, Borbinha J, editors, Advances in Conceptual Modeling - ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Proceedings. Cham, Switzerland: Springer Nature. 2023. p. 312-328. (Lecture Notes in Computer Science). doi: 10.1007/978-3-031-47112-4_29

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

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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