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Characteristics of decision-making for different levels of product involvement depending on the degree of trust transfer: A comparison of cognitive decision-making criteria and physiological responses

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dc.contributor.authorHahn M.H.[Hahn M.H.]-
dc.contributor.authorChoi D.Y.[Choi D.Y.]-
dc.contributor.authorLee K.C.[Lee K.C.]-
dc.date.accessioned2021-08-05T14:51:03Z-
dc.date.available2021-08-05T14:51:03Z-
dc.date.created2016-08-06-
dc.date.issued2012-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.bwise.kr/skku/handle/2021.sw.skku/67183-
dc.description.abstractThis research verified the match rate between cognitive decision-making criteria and the physiological reaction on a website using Eye-Tracker, which measures a user's visual attention. Specifically, we explored the match rate between cognitive decision-making and the physiological reaction depending on the degree of product involvement and the degree of trust transfer through an experiment and survey. The verification results show that, for the involvement of products (high/low involvement), the match rate between the fixation length and the cognitive criteria used in decision-making for the high involvement product was higher than that with the low involvement product, and the difference in the match rate was statistically significant. However, in the aspect of trust transfer, the difference in the match rate between the high and low trust transfer groups was not statistically significant. © 2012 Springer-Verlag.-
dc.subjectCognitive decision-making-
dc.subjectEye-tracking-
dc.subjectPhysiological reactions-
dc.subjectPhysiological response-
dc.subjectProduct involvement-
dc.subjectTrust transfer-
dc.subjectVerification results-
dc.subjectVisual Attention-
dc.subjectDatabase systems-
dc.subjectPhysiology-
dc.subjectDecision making-
dc.titleCharacteristics of decision-making for different levels of product involvement depending on the degree of trust transfer: A comparison of cognitive decision-making criteria and physiological responses-
dc.typeArticle-
dc.contributor.affiliatedAuthorHahn M.H.[Hahn M.H.]-
dc.contributor.affiliatedAuthorLee K.C.[Lee K.C.]-
dc.identifier.doi10.1007/978-3-642-28493-9_4-
dc.identifier.scopusid2-s2.0-84863362154-
dc.identifier.bibliographicCitationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.7198 LNAI, no.PART 3, pp.27 - 36-
dc.relation.isPartOfLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.volume7198 LNAI-
dc.citation.numberPART 3-
dc.citation.startPage27-
dc.citation.endPage36-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorCognitive decision-making-
dc.subject.keywordAuthorEye-tracking-
dc.subject.keywordAuthorProduct involvement-
dc.subject.keywordAuthorTrust transfer-
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