Work

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

Year: 2015

Type: conference-paper

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.

Source: International Conference on Automatic Face and Gesture Recognition

DOI: 10.1109/fg.2015.7163100

Authors: Mojtaba Khomami Abadi, Juan Abdon Miranda Correa, Julia Wache, Heng Yang, Ioannis Patras, Nicu Sebe

Institutions: Telecom Italia (Italy), University of Trento, Queen Mary University of London

Language: English

Topic: Emotion and Mood Recognition

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

Funders: Queen Mary University of London, Consejo Nacional de Ciencia y Tecnología, Ministero dell’Istruzione, dell’Università e della Ricerca

OpenAlex ID: W1583278551