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dc.contributor.authorBroum, Tomáš
dc.contributor.authorHořejší, Petr
dc.contributor.authorMalaga, Miroslav
dc.contributor.authorGrzona, Pierre
dc.date.accessioned2023-02-06T11:00:19Z-
dc.date.available2023-02-06T11:00:19Z-
dc.date.issued2023
dc.identifier.citationBROUM, T. HOŘEJŠÍ, P. MALAGA, M. GRZONA, P. Competencies of Industrial Engineers for Implementing Augmented Reality Metadata Systems. Sustainability, 2023, roč. 15, č. 1, s. nestránkováno. ISSN: 2071-1050cs
dc.identifier.issn2071-1050
dc.identifier.uri2-s2.0-85145896636
dc.identifier.urihttp://hdl.handle.net/11025/51302
dc.format20 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherMDPIen
dc.relation.ispartofseriesSustainabilityen
dc.rights© authorsen
dc.titleCompetencies of Industrial Engineers for Implementing Augmented Reality Metadata Systemsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe paper focuses on the use of augmented reality (AR) by industrial engineers, especially for determining the necessary competencies required for its use. Industrial engineers are not inherently programmers. Nevertheless, augmented reality is a modern trend in their field, especially in relation to the concept of Industry 4.0 and industry in general, where it has a higher potential than virtual reality. In the first part of this paper, we placed augmented reality and the competencies required for its use in the context of industrial engineering. Subsequently, we described our own methods of implementing an augmented reality industrial metadata visualization system, namely Help Lightning Fieldbit and Unity 3D, using the Vuforia extension. We chose the metadata used in the methods with regard to their environmental potential. In this part of the paper, we also described the chosen and applied testing methodology using a questionnaire survey. Subsequently, we described the results from the questionnaire surveys of both these approaches of implementing augmented reality methods. Finally, we evaluated the results and compared them with each other and with results from other authors. As the results show, the most important competencies for creating the described AR environments are analytical competencies. We draw conclusions from the collected data regarding the necessary competencies for the creation of AR scenes using these methods and their deployment in industry, including an outline for further research.en
dc.subject.translatedaugmented realityen
dc.subject.translatedhuman–computer interfaceen
dc.subject.translatedcompetenciesen
dc.subject.translatedproduction dataen
dc.subject.translatedskillsen
dc.subject.translatedIndustry 4.0en
dc.subject.translatedindustrial engineeringen
dc.identifier.doi10.3390/su15010130
dc.type.statusPeer-revieweden
dc.identifier.document-number910438400001
dc.identifier.obd43937698
dc.project.IDSGS-2021-028/Vývojové a tréninkové prostředky pro interakci člověka a kyber-fyzického výrobního systémucs
dc.project.IDEF18_054/0014627/Rozvoj kapacit a prostředí pro posílení mezinárodní, mezisektorové a mezioborové spolupráce ZČUcs
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