TY - GEN
T1 - Implicit user-centric personality recognition based on physiological responses to emotional videos
AU - Wache, Julia
AU - Subramanian, Ramanathan
AU - Abadi, Mojtaba Khomami
AU - Vieriu, Radu Laurentiu
AU - Sebe, Nicu
AU - Winkler, Stefan
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/11/9
Y1 - 2015/11/9
N2 - We present a novel framework for recognizing personality traits based on users' physiological responses to affective movie clips. Extending studies that have correlated explicit/implicit affective user responses with Extraversion and Neuroticism traits, we perform single-trial recognition of the big-five traits from Electrocardiogram (ECG), Galvanic Skin Response (GSR), Electroencephalogram (EEG) and facial emotional responses compiled from 36 users using off-the-shelf sensors. Firstly, we examine relationships among personality scales and (explicit) affective user ratings acquired in the context of prior observations. Secondly, we isolate physiological correlates of personality traits. Finally, unimodal and multimodal personality recognition results are presented. Personality differences are better revealed while analyzing responses to emotionally homogeneous (e.g., high valence, high arousal) clips, and significantly above-chance recognition is achieved for all five traits.
AB - We present a novel framework for recognizing personality traits based on users' physiological responses to affective movie clips. Extending studies that have correlated explicit/implicit affective user responses with Extraversion and Neuroticism traits, we perform single-trial recognition of the big-five traits from Electrocardiogram (ECG), Galvanic Skin Response (GSR), Electroencephalogram (EEG) and facial emotional responses compiled from 36 users using off-the-shelf sensors. Firstly, we examine relationships among personality scales and (explicit) affective user ratings acquired in the context of prior observations. Secondly, we isolate physiological correlates of personality traits. Finally, unimodal and multimodal personality recognition results are presented. Personality differences are better revealed while analyzing responses to emotionally homogeneous (e.g., high valence, high arousal) clips, and significantly above-chance recognition is achieved for all five traits.
KW - Affective physiological responses
KW - Personality recognition
UR - http://www.scopus.com/inward/record.url?scp=84959308571&partnerID=8YFLogxK
U2 - 10.1145/2818346.2820736
DO - 10.1145/2818346.2820736
M3 - Conference contribution
AN - SCOPUS:84959308571
T3 - ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction
SP - 239
EP - 246
BT - ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction
A2 - Zhang, Zhengyou
A2 - Cohen, Phil
A2 - Bohus, Dan
A2 - Horaud, Radu
A2 - Meng, Helen
PB - Association for Computing Machinery (ACM)
CY - United States
T2 - ACM International Conference on Multimodal Interaction, ICMI 2015
Y2 - 9 November 2015 through 13 November 2015
ER -