Abstract
This paper presents a model based on deep learning for the automatic prediction of the big five personality traits: Extraversion, Agreeableness, Responsibility, Emotional Stability and Openness to Experience. For the development of the model a set of five neural networks was used, three of them built from an Inception Resnet V2 network, a network already trained to detect the facial area of a portrait provided by the DeepFace library and a FeedForward network built in this study using the results of the previous ones. To train these networks, a dataset of 13026 facial images was generated from a set of videos provided by Chalearn [1]. The model achieved an interesting accuracy rate, 64% was obtained by averaging the 5 factors (Extraversion = 64%, Agreeableness = 72%, Responsibility = 61%, Emotional Stability = 63% and Openness to Experience = 62%).
Original language | English |
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Pages (from-to) | 60-67 |
Number of pages | 8 |
Journal | International Journal of Computer Information Systems and Industrial Management Applications |
Volume | 14 |
State | Published - 2022 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© MIR Labs
Keywords
- Affective computing
- Big five model
- Deep learning
- Machine learning
- Personality prediction
- Personality traits