Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bhin, Hyeonuk | - |
dc.contributor.author | Choi, Jongsuk | - |
dc.contributor.author | Park, Sungkee | - |
dc.contributor.author | Lim, Yoonseob | - |
dc.date.accessioned | 2024-01-19T11:07:45Z | - |
dc.date.available | 2024-01-19T11:07:45Z | - |
dc.date.created | 2022-02-28 | - |
dc.date.issued | 2017-06 | - |
dc.identifier.issn | 2325-033X | - |
dc.identifier.uri | https://pubs.kist.re.kr/handle/201004/114627 | - |
dc.description.abstract | This 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.language | English | - |
dc.publisher | IEEE | - |
dc.title | Automated psychophysical personality data acquisition system for human-robot interaction | - |
dc.type | Conference | - |
dc.description.journalClass | 1 | - |
dc.identifier.bibliographicCitation | 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp.159 - 160 | - |
dc.citation.title | 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) | - |
dc.citation.startPage | 159 | - |
dc.citation.endPage | 160 | - |
dc.citation.conferencePlace | US | - |
dc.citation.conferencePlace | Jeju, SOUTH KOREA | - |
dc.citation.conferenceDate | 2017-06-28 | - |
dc.relation.isPartOf | 2017 14TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI) | - |
dc.identifier.wosid | 000426976900034 | - |
dc.identifier.scopusid | 2-s2.0-85034248973 | - |
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