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Human-machine interface in smart factory: A systematic literature review

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dc.contributor.authorKumar, Naveen-
dc.contributor.authorLee, Seul Chan-
dc.date.accessioned2024-04-09T03:01:41Z-
dc.date.available2024-04-09T03:01:41Z-
dc.date.issued2022-01-
dc.identifier.issn0040-1625-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/118550-
dc.description.abstractA smart factory is a form of manufacturing in the era of Industry 4.0 that has adopted new integrated manufacturing technologies. The importance of human–machine interfaces (HMIs) has been increasing due to the complexity of the current manufacturing context. Therefore, it is necessary to identify and understand HMIs in smart factories from a holistic perspective, which enables us to understand the overall picture. In this study, we conducted a systematic literature review (SLR) of HMIs to identify smart factory functions, tasks, information types, interaction modalities, and their impact on human operators from the perspectives of human factors and human–computer interaction. Seventy-seven articles were selected for SLR and analysed based on three research questions. We found four smart factory functions (operation and supervision, management, maintenance service, and cybersecurity) consisting of 18 tasks, including subtasks and functions. The effects of these functions, tasks, and HMIs on human operators are also discussed. Five interaction modalities (gaze, voice, gesture, tactile, and haptic) were used to perform these functions and tasks. This paper also discusses the practical use context of HMIs in smart factories and offers HMI recommendations for users, designers, and researchers. These findings provide insights into the design of HMIs in smart factories. © 2021-
dc.format.extent12-
dc.language영어-
dc.language.isoENG-
dc.publisherElsevier BV-
dc.titleHuman-machine interface in smart factory: A systematic literature review-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1016/j.techfore.2021.121284-
dc.identifier.scopusid2-s2.0-85117316276-
dc.identifier.wosid000711381400013-
dc.identifier.bibliographicCitationTechnological Forecasting and Social Change, v.174, pp 1 - 12-
dc.citation.titleTechnological Forecasting and Social Change-
dc.citation.volume174-
dc.citation.startPage1-
dc.citation.endPage12-
dc.type.docType정기 학술지(Review)-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBusiness & Economics-
dc.relation.journalResearchAreaPublic Administration-
dc.relation.journalWebOfScienceCategoryBusiness-
dc.relation.journalWebOfScienceCategoryRegional & Urban Planning-
dc.subject.keywordPlusCYBER-PHYSICAL SYSTEM-
dc.subject.keywordPlusINDUSTRY 4.0-
dc.subject.keywordPlusOPERATORS-
dc.subject.keywordPlusDESIGN-
dc.subject.keywordPlusVOICE-
dc.subject.keywordAuthorHuman factors-
dc.subject.keywordAuthorHuman operator-
dc.subject.keywordAuthorHuman-computer interaction-
dc.subject.keywordAuthorHuman-machine interface,-
dc.subject.keywordAuthorIndustry 4.0-
dc.subject.keywordAuthorSmart factory-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0040162521007186?pes=vor-
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ERICA 소프트웨어융합대학 (SCHOOL OF MEDIA, CULTURE, AND DESIGN TECHNOLOGY)
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