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.

Inference of personality traits and affect schedule by analysis of spontaneous reactions to affective videos / Khomami Abadi, Mojtaba; Miranda, J. Abdon; Wache, Julia; Yang, Hui; Patras, I.; Sebe, Niculae. - (2015), pp. 1-8. ((Intervento presentato al convegno FG 2015 tenutosi a Ljubljana, Slovenia nel 4-8 May 2015 [10.1109/FG.2015.7163100].

Inference of personality traits and affect schedule by analysis of spontaneous reactions to affective videos

Khomami Abadi, Mojtaba;Wache, Julia;Yang, Hui;Sebe, Niculae
2015

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.
11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition
Los Alamitos
IEEE
978-147996026-2
Khomami Abadi, Mojtaba; Miranda, J. Abdon; Wache, Julia; Yang, Hui; Patras, I.; Sebe, Niculae
Inference of personality traits and affect schedule by analysis of spontaneous reactions to affective videos / Khomami Abadi, Mojtaba; Miranda, J. Abdon; Wache, Julia; Yang, Hui; Patras, I.; Sebe, Niculae. - (2015), pp. 1-8. ((Intervento presentato al convegno FG 2015 tenutosi a Ljubljana, Slovenia nel 4-8 May 2015 [10.1109/FG.2015.7163100].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/115049
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