Title
Inference of personality traits and affect schedule by analysis of spontaneous reactions to affective videos
Abstract
This paper presents a method for inferring the Positive and Negative Affect Schedule (PANAS) and the BigFive personality traits of 35 participants through the analysis of their implicit responses to 16 emotional videos. The employed modalities to record the implicit responses are (i) EEG, (ii) peripheral physiological signals (ECG, GSR), and (iii) facial landmark trajectories. The predictions of personality traits/PANAS are done using linear regression models that are trained independently on each modality. The main findings of this study are that: (i) PANAS and personality traits of individuals can be predicted based on the users' implicit responses to affective video content, (ii) ECG+GSR signals yield 70%±8% F1-score on the distinction between extroverts/introverts, (iii) EEG signals yield 69%±6% F1-score on the distinction between creative/non creative people, and finally (iv) for the prediction of agreeableness, emotional stability, and baseline affective states we achieved significantly higher than chance-level results.
Year
DOI
Venue
2015
10.1109/FG.2015.7163100
2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
Keywords
Field
DocType
personality trait inference,spontaneous reactions,affective videos,positive and negative affect schedule,BigFive personality traits,emotional videos,peripheral physiological signals,ECG,GSR,linear regression models,video content,EEG signals
Computer vision,Big Five personality traits,Inference,Cognitive psychology,Psychology,Positive and Negative Affect Schedule,Correlation,Artificial intelligence,Affect (psychology),Agreeableness,Electroencephalography,Linear regression
Conference
Volume
ISSN
Citations 
1
2326-5396
8
PageRank 
References 
Authors
0.51
17
6
Name
Order
Citations
PageRank
Mojtaba Khomami Abadi11125.82
Juan Abdon Miranda Correa2100.93
Julia Wache3362.46
Heng Yang4827.10
Ioannis Patras51960123.15
Nicu Sebe67013403.03