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dc.contributor.authorBhin, Hyeonuk-
dc.contributor.authorChoi, Jongsuk-
dc.contributor.authorPark, Sungkee-
dc.contributor.authorLim, Yoonseob-
dc.date.accessioned2024-01-19T11:07:45Z-
dc.date.available2024-01-19T11:07:45Z-
dc.date.created2022-02-28-
dc.date.issued2017-06-
dc.identifier.issn2325-033X-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/114627-
dc.description.abstractThis paper introduces an experimental method to collect various types of non-verbal cues for personality recognition that could be used for reliable human-robot interaction. The proposed system can record raw data of video, audio, and physiological signals through 9 different interaction scenarios and organize them for each scenario so that the data obtained by proposed system can be effectively used to find the possible correlation between non-verbal cues and human personality.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleAutomated psychophysical personality data acquisition system for human-robot interaction-
dc.typeConference-
dc.description.journalClass1-
dc.identifier.bibliographicCitation14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp.159 - 160-
dc.citation.title14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)-
dc.citation.startPage159-
dc.citation.endPage160-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceJeju, SOUTH KOREA-
dc.citation.conferenceDate2017-06-28-
dc.relation.isPartOf2017 14TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI)-
dc.identifier.wosid000426976900034-
dc.identifier.scopusid2-s2.0-85034248973-
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KIST Conference Paper > 2017
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