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

Financial Engineering & Business Information Systems

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

9 Citations (Scopus)

306 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
Subtitle of host publication	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
Pages	312-328
Number of pages	17
Edition	1
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 - 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 2023
Country/Territory	Portugal
City	Lisbon
Period	6/11/23 → 9/11/23
Internet address	https://er2023.inesc-id.pt/

UN SDGs

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

SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure

Keywords

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

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 (1 ed., pp. 312-328). (Lecture Notes in Computer Science; Vol. 14319). Springer. 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. 1. ed. Cham, Switzerland : Springer, 2023. pp. 312-328 (Lecture Notes in Computer Science).

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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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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. 1 edn, Lecture Notes in Computer Science, vol. 14319, Springer, 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. 1. ed. Cham, Switzerland: Springer, 2023. p. 312-328 (Lecture Notes in Computer Science; Vol. 14319).

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

TY - GEN

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

AU - Sedrakyan, Gayane

AU - Gavai, Anand

AU - van Hillegersberg, Jos

N1 - Conference code: 42

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - 2023 OA procedure

KW - Human-centric food recommender

KW - Nutrition consumption behavior

KW - Privacy-aware food recommender

KW - Sustainable food consumption

KW - Food recommender

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AN - SCOPUS:85177193030

SN - 978-3-031-47111-7

T3 - Lecture Notes in Computer Science

SP - 312

EP - 328

BT - Advances in Conceptual Modeling

A2 - Sales, Tiago Prince

A2 - Guizzardi, Giancarlo

A2 - Araújo, João

A2 - Borbinha, José

PB - Springer

CY - Cham, Switzerland

T2 - 42nd International Conference on Conceptual Modeling, ER 2023

Y2 - 6 November 2023 through 9 November 2023

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. 1 ed. Cham, Switzerland: Springer. 2023. p. 312-328. (Lecture Notes in Computer Science). Epub 2023 Oct 26. doi: 10.1007/978-3-031-47112-4_29

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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