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Cited 23 time in webofscience Cited 28 time in scopus
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Predicting the use of smartphone-based Augmented Reality (AR): Does telepresence really help?

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dc.contributor.authorKim, Hyeon Cheol-
dc.contributor.authorHyun, Martin Yongho-
dc.date.available2019-03-08T12:56:56Z-
dc.date.issued2016-06-
dc.identifier.issn0747-5632-
dc.identifier.issn1873-7692-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/6846-
dc.description.abstractThe purpose of this study was to determine what predicts the use of smartphone-based Augmented Reality (AR). The study proposes two models to determine whether telepresence can substitute for usefulness and whether both usefulness in the revised technology acceptance model and telepresence in the telepresence mediation hypothesis model can mediate the relationship among three types of AR quality and the intention to reuse AR. Two models were tested with 134 undergraduates who experienced the smartphone-based AR application OVJET. Two competing models demonstrate that all hypothesized paths in the revised technology acceptance model and the telepresence mediation hypothesis model are significant except for one path from service quality to telepresence. A path difference test shows that three pairs of paths (system quality usefulness vs. system quality telepresence; service quality -> usefulness vs. service quality telepresence; and usefulness AR reuse intention vs. telepresence -> AR reuse intention) are significantly different, while one pair of the paths (i.e., information system -> elepresence vs. information quality -> usefulness) is not. In addition, usefulness performs both partial and complete mediating roles, while telepresence has only a complete mediation effect. (C) 2016 Elsevier Ltd. All rights reserved.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.titlePredicting the use of smartphone-based Augmented Reality (AR): Does telepresence really help?-
dc.typeArticle-
dc.identifier.doi10.1016/j.chb.2016.01.001-
dc.identifier.bibliographicCitationCOMPUTERS IN HUMAN BEHAVIOR, v.59, pp 28 - 38-
dc.description.isOpenAccessN-
dc.identifier.wosid000373748800004-
dc.identifier.scopusid2-s2.0-84957007118-
dc.citation.endPage38-
dc.citation.startPage28-
dc.citation.titleCOMPUTERS IN HUMAN BEHAVIOR-
dc.citation.volume59-
dc.type.docTypeArticle-
dc.publisher.location영국-
dc.subject.keywordAuthorRevised TAM model-
dc.subject.keywordAuthorTMH model-
dc.subject.keywordAuthorUsefulness-
dc.subject.keywordAuthorTelepresence-
dc.subject.keywordAuthorMediation effects-
dc.subject.keywordPlusTECHNOLOGY ACCEPTANCE MODEL-
dc.subject.keywordPlusVALUE-ADDED SERVICES-
dc.subject.keywordPlusINFORMATION-TECHNOLOGY-
dc.subject.keywordPlusEMPIRICAL-TEST-
dc.subject.keywordPlusCUSTOMER SATISFACTION-
dc.subject.keywordPlusLONGITUDINAL-FIELD-
dc.subject.keywordPlusCOMPETING THEORIES-
dc.subject.keywordPlusSYSTEM QUALITY-
dc.subject.keywordPlusSUCCESS-
dc.subject.keywordPlusWEB-
dc.relation.journalResearchAreaPsychology-
dc.relation.journalWebOfScienceCategoryPsychology, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPsychology, Experimental-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
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