作者: Julia Wache , Ramanathan Subramanian , Mojtaba Khomami Abadi , Radu-Laurentiu Vieriu , Nicu Sebe
关键词: Personality recognition 、 Cognitive psychology 、 User-centered design 、 Extraversion and introversion 、 Electroencephalography 、 Valence (psychology) 、 Personality 、 Neuroticism 、 Big Five personality traits 、 Computer 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