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Human-avatar interaction and recognition memory according to interaction types and methods

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dc.contributor.authorKim, Mingyu-
dc.contributor.authorJang, Woncheol-
dc.contributor.authorKim, Kwanguk Kenny-
dc.date.accessioned2022-07-16T00:12:33Z-
dc.date.available2022-07-16T00:12:33Z-
dc.date.created2021-05-11-
dc.date.issued2015-03-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157832-
dc.description.abstractFor the several decades, researchers studied human-avatar interactions using a virtual reality (VR). However, speculation on the interaction between a human's recognition memory and interaction types/methods has not enough considered yet. In the current study, we designed a VR interaction paradigm with two different types of human-avatar interaction including initiating and responding interactions, and we also included two interaction methods including a head-gazing and a hand-pointing. The result indicated that there are significant differences in the recognition memory between the initiating and responding interactions. However, we couldn't find any significant effects of interaction methods in the current study. These results suggest that the human-avatar interaction may have similar patterns with the human-human interaction in the recognition memory, and methodological advances also required.-
dc.language영어-
dc.language.isoen-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleHuman-avatar interaction and recognition memory according to interaction types and methods-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Kwanguk Kenny-
dc.identifier.doi10.1109/VR.2015.7223369-
dc.identifier.scopusid2-s2.0-84954559792-
dc.identifier.bibliographicCitation2015 IEEE Virtual Reality Conference, VR 2015 - Proceedings, pp.209 - 210-
dc.relation.isPartOf2015 IEEE Virtual Reality Conference, VR 2015 - Proceedings-
dc.citation.title2015 IEEE Virtual Reality Conference, VR 2015 - Proceedings-
dc.citation.startPage209-
dc.citation.endPage210-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusSoftware engineering-
dc.subject.keywordPlusAvatar interaction-
dc.subject.keywordPlusHand tracking-
dc.subject.keywordPlusHead tracking-
dc.subject.keywordPlusHuman-human interactions-
dc.subject.keywordPlusRecognition memory-
dc.subject.keywordPlusVirtual reality-
dc.subject.keywordAuthorHand-Tracking-
dc.subject.keywordAuthorHead-Tracking-
dc.subject.keywordAuthorHuman-Avatar Interaction-
dc.subject.keywordAuthorHuman-Human Interaction-
dc.subject.keywordAuthorRecognition Memory-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7223369-
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