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Augmented Reality and Mixed Reality in the Factory of the Future: A Bibliometric Analysis

2025Comunicação em conferência Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia
dc.contributor.authorMonteiro, Redney
dc.contributor.authorAna Mara Moreira
dc.contributor.authorMoreira, André
dc.contributor.authorJorge Laranjeira
dc.contributor.authorBarbosa, José
dc.contributor.authorOliveira, Pedro Filipe
dc.contributor.authorCunha, Carlos R.
dc.contributor.authorPaulo Leitão
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2026-05-20T18:14:24Z
dc.date.available2026-05-20T18:14:24Z
dc.date.issued2025
dc.description.abstractMixed Reality (MR) and Augmented Reality (AR) - technologies which are part of the spectrum of Extended Reality (XR) - are considered emerging technologies and have gained increasing attention across multiple sectors, including Tourism and Healthcare, due to their versatility as tools for training, simulation, and education, as well as their potential to serve as innovative Human-Machine Interfaces (HMI). Simultaneously, other emerging technologies such as Internet of Things (IoT), Artificial Intelligence (AI), and Robotics have become central themes in R&D associated with the Fourth Industrial Revolution, commonly referred to as Industry 4.0, which emphasizes the digital transformation of industrial processes, through the integration of the new technologies. Beyond their relevance to Industry 4.0, XR technologies are also potential technologies in the emerging paradigm of Industry 5.0, which shifts the focus toward human-centric solutions and collaboration between humans and machines, this potential being based on the ability to enhance human interaction with complex systems. This paper presents the results of a bibliometric analysis of 634 peer-reviewed journal articles indexed in Web of Science and Scopus, spanning research from the past decade (2015 - 2025), as contribute to support future research and guide relevant stakeholders by identifying prevailing trends, leading contributors, and key publication sources in the domain of XR applied to industrial contexts.eng
dc.identifier.citationR. Monteiro et al. (2025). Augmented Reality and Mixed Reality in the Factory of the Future: A Bibliometric Analysis. International Conference on Engineering and Emerging Technologies (ICEET). Institute of Electrical and Electronics Engineers Inc. ISSN 2409-2983. p. 1-6
dc.identifier.doi10.1109/iceet67911.2025.11424093
dc.identifier.isbn979-833156755-2
dc.identifier.issn2409-2983
dc.identifier.urihttp://hdl.handle.net/10198/36741
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relation.ispartof2025 International Conference on Engineering and Emerging Technologies (ICEET)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAugmented Reality
dc.subjectBibliometric Analysis
dc.subjectIndustry 4.0
dc.subjectIndustry 5.0
dc.subjectMixed Reality
dc.titleAugmented Reality and Mixed Reality in the Factory of the Future: A Bibliometric Analysiseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/05757/2020
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.conferenceDate2025
oaire.citation.conferencePlaceKuala Lumpur
oaire.citation.endPage6
oaire.citation.startPage1
oaire.citation.title11th International Conference on Engineering and Emerging Technologies, ICEET 2025
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMonteiro
person.familyNameMoreira
person.familyNameBarbosa
person.familyNameOliveira
person.familyNameCunha
person.familyNameLeitão
person.givenNameRedney
person.givenNameAndré
person.givenNameJosé
person.givenNamePedro Filipe
person.givenNameCarlos R.
person.givenNamePaulo
person.identifier609187
person.identifierR-001-NSC
person.identifierA-8390-2011
person.identifier.ciencia-id9F19-60C9-1A54
person.identifier.ciencia-id021B-4191-D8A5
person.identifier.ciencia-id7E15-B360-5AD3
person.identifier.ciencia-id2316-5664-FF6F
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0009-0004-3972-2390
person.identifier.orcid0000-0002-6253-6615
person.identifier.orcid0000-0003-3151-6686
person.identifier.orcid0000-0002-2848-1606
person.identifier.orcid0000-0003-3085-1562
person.identifier.orcid0000-0002-2151-7944
person.identifier.ridA-5468-2011
person.identifier.ridC-7882-2017
person.identifier.ridH-2678-2014
person.identifier.scopus-author-id48360905400
person.identifier.scopus-author-id57202512811
person.identifier.scopus-author-id35584388900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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