Bhin, Hyeonuk Choi, Jongsuk Park, Sungkee Lim, Yoonseob 2024-01-19T11:07:45Z 2024-01-19T11:07:45Z 2022-02-28 2017-06 2325-033X https://pubs.kist.re.kr/handle/201004/114627 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. English IEEE Automated psychophysical personality data acquisition system for human-robot interaction Conference 1 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp.159 - 160 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 159 160 US Jeju, SOUTH KOREA 2017-06-28 2017 14TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI) 000426976900034 2-s2.0-85034248973