Implicit User-centric Personality Recognition Based on Physiological Responses to Emotional Videos

作者: Julia Wache , Ramanathan Subramanian , Mojtaba Khomami Abadi , Radu-Laurentiu Vieriu , Nicu Sebe

DOI: 10.1145/2818346.2820736

关键词: Personality recognitionCognitive psychologyUser-centered designExtraversion and introversionElectroencephalographyValence (psychology)PersonalityNeuroticismBig Five personality traitsComputer science

摘要: 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 user with Extraversion and Neuroticism traits, we perform single-trial recognition of the big-five from Electrocardiogram (ECG), Galvanic Skin Response (GSR), Electroencephalogram (EEG) facial emotional compiled 36 users using off-the-shelf sensors. Firstly, examine relationships among scales (explicit) ratings acquired in context prior observations. Secondly, isolate correlates traits. Finally, unimodal multimodal results are presented. Personality differences better revealed while analyzing emotionally homogeneous (e.g., high valence, arousal) clips, significantly above-chance is achieved all five

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