Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Testing a theoretical model of trust in human-machine communication: emotional experience and social presence

Full metadata record
DC Field Value Language
dc.contributor.authorLee, Sun Kyong-
dc.contributor.authorSun, Juhyung-
dc.date.accessioned2022-12-12T00:40:47Z-
dc.date.available2022-12-12T00:40:47Z-
dc.date.created2022-12-08-
dc.date.issued2022-
dc.identifier.issn0144-929X-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/147123-
dc.description.abstractA theoretical model of trust in human-machine communication (HMC) was tested and emotional experience and social presence were evaluated during an interaction with an intelligent virtual agent (IVA), Siri. A two ('American female' or 'American male' Siri) by two (functional or social task) experiment was conducted with 229 subjects with random assignments. According to multivariate analyses of covariances, participants reported higher levels of emotional significance when they interacted with Siri to inquire about functional tasks. No gender or interaction effects between gender and task were detected. Confirmatory factor analyses and structural equation modelling indicated that both social presence and emotional experience were directly and positively associated with five dimensions of trust (i.e. perceived reliability, technical competence, perceived understandability, faith, and personal attachment) in Siri. This direct effect model was significant after controlling for the effects of task type. Additionally, a test of the mediation model indicated full mediation between emotional experiences and trust by social presence.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherTAYLOR & FRANCIS LTD-
dc.subjectMANIFEST PERSONALITY-
dc.subjectROBOT-
dc.subjectRECOGNITION-
dc.subjectAUTOMATION-
dc.subjectVIVIDNESS-
dc.titleTesting a theoretical model of trust in human-machine communication: emotional experience and social presence-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Sun Kyong-
dc.identifier.doi10.1080/0144929X.2022.2145998-
dc.identifier.scopusid2-s2.0-85142139648-
dc.identifier.wosid000883262500001-
dc.identifier.bibliographicCitationBEHAVIOUR & INFORMATION TECHNOLOGY-
dc.relation.isPartOfBEHAVIOUR & INFORMATION TECHNOLOGY-
dc.citation.titleBEHAVIOUR & INFORMATION TECHNOLOGY-
dc.type.rimsART-
dc.type.docTypeArticle; Early Access-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Cybernetics-
dc.relation.journalWebOfScienceCategoryErgonomics-
dc.subject.keywordPlusMANIFEST PERSONALITY-
dc.subject.keywordPlusROBOT-
dc.subject.keywordPlusRECOGNITION-
dc.subject.keywordPlusAUTOMATION-
dc.subject.keywordPlusVIVIDNESS-
dc.subject.keywordAuthorSocial presence-
dc.subject.keywordAuthoremotional experience-
dc.subject.keywordAuthortrust-
dc.subject.keywordAuthorhuman-machine communication-
dc.subject.keywordAuthorintelligent virtual agent-
dc.subject.keywordAuthortask type-
Files in This Item
There are no files associated with this item.
Appears in
Collections
School of Media & Communication > School of Media & Communication > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE