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Fairness in Designing Decision-Making Processes with Multi-Agent Systems and Human Factors

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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorVieira, Gustavo
dc.contributor.authorZeiner, Herwig
dc.contributor.authorPaletta, Lucas
dc.contributor.authorFernandes, Rui
dc.contributor.authorRosse, Higor
dc.contributor.authorSabiri, Khadija
dc.contributor.authorPaz, Juan F De
dc.contributor.authorBarbosa, José
dc.date.accessioned2026-03-20T11:47:56Z
dc.date.available2026-03-20T11:47:56Z
dc.date.issued2025
dc.description.abstractThis paper explores the integration of Human Factors (HF) into Multi-Agent Systems (MAS) to enhance fairness in decision-making processes in Industry 5.0 environments. We contribute with a human-centred perspective in the development of MAS by integrating the physiological aspects of workers in the manufacturing industry. This culminates in the measurement of human resilience. This paper presents an automotive manufacturing environment where wearable sensors and AI-driven analytics assess workers' physiological and psychological stress levels to calculate a human resilience score. This score, along with worker preferences, supports a dynamic worker allocation algorithm based on MAS that adapts to production demands. Our approach embodies the Industry 5.0 vision of technologies that support adaptive, transparent and, above all, fair human management. The system uses advanced technologies to meet business goals and employee needs and to promote a more inclusive, supportive and people-centred work environment.eng
dc.description.sponsorshipThis work has been supported by the FAIRWork project (www.fairwork-project.eu) and has been funded by the European Commission's Horizon Europe Programme under contract number 101069499. This paper expresses the opinions of the authors and not necessarily those of the European Commission. The European Commission is not liable for any use that may be made of the information contained in this paper. The authors express their gratitude to the project consortium for their input in writing this paper, specifically the industrial partners Stellantis/CRF and Flex, for their valuable time during the requirements elicitation phase.
dc.identifier.citationVieira, Gustavo; Zeiner, Herwig; Paletta, Lucas; Fernandes, Rui; Rosse, Higor; Sabiri, Khadija; De Paz, Juan F.; Barbosa, José (2025). Fairness Processes With Multi-Agent Systems and Human Factors. Applied Human Factors and Ergonomics International. ISSN 2771-0718. 165, p. 187-197.
dc.identifier.doi10.54941/ahfe1006102
dc.identifier.issn2771-0718
dc.identifier.urihttp://hdl.handle.net/10198/36162
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAHFE International
dc.relation101069499
dc.relation.ispartofAHFE International
dc.relation.ispartofCognitive Computing and Internet of Things
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectFairness
dc.subjectHuman factors
dc.subjectMulti-agent systems
dc.titleFairness in Designing Decision-Making Processes with Multi-Agent Systems and Human Factorseng
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage197
oaire.citation.startPage187
oaire.citation.titleApplied Human Factors and Ergonomics International
oaire.citation.volume165
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameBarbosa
person.givenNameJosé
person.identifier609187
person.identifier.ciencia-id021B-4191-D8A5
person.identifier.orcid0000-0003-3151-6686
person.identifier.ridA-5468-2011
person.identifier.scopus-author-id48360905400
relation.isAuthorOfPublication0c76a063-ff3c-4db3-b6e7-36885020b399
relation.isAuthorOfPublication.latestForDiscovery0c76a063-ff3c-4db3-b6e7-36885020b399

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