Implicit user-centric personality recognition based on physiological responses to emotional videos

Julia Wache, Ramanathan Subramanian, Mojtaba Khomami Abadi, Radu Laurentiu Vieriu, Nicu Sebe, Stefan Winkler

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

21 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction
EditorsZhengyou Zhang, Phil Cohen, Dan Bohus, Radu Horaud, Helen Meng
Place of PublicationUnited States
PublisherAssociation for Computing Machinery (ACM)
Pages239-246
Number of pages8
ISBN (Electronic)9781450339124
DOIs
Publication statusPublished - 9 Nov 2015
Externally publishedYes
EventACM International Conference on Multimodal Interaction, ICMI 2015 - Seattle, United States
Duration: 9 Nov 201513 Nov 2015

Publication series

NameICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction

Conference

ConferenceACM International Conference on Multimodal Interaction, ICMI 2015
Country/TerritoryUnited States
CitySeattle
Period9/11/1513/11/15

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