A multiplatform application for automatic recognition of personality traits for Learning Environments

The present work shows the development of a data collection platform that permits to collect new video and voice data sets and allows to apply a standardized personality test to analyze the effectiveness of the automatic personality recognizers with respect to the results of a standardized personality test of the same participant and thus, have elements to improve the evaluated models. These models can then be integrated into intelligent learning environments to personalize and adapt the content presented to students based on their dominant personality traits.