CAMPEONES: Continuous Annotation and Multimodal Processing of EmOtions in Naturalistic EnvironmentS

This project aims to create a database useful for both affective neuroscience and affective computing communities, by obtaining continuous real-time self-reports of emotional experiences in virtual reality contexts. This database will be complemented by a series of central and peripheral nervous system measurements, such as EEG, EOG, EMG, ECG, EDA and respiratory data.

In this way, we aim to better understand the temporal dynamics of these self-reported affective experiences, examining their neural and physiological correlates, and developing predictive models based on these data. In addition, we also plan to use unsupervised analysis methods to extract emergent patterns in these temporal dynamics.

By harnessing the immersive power of VR, we aim to better capture the full complexity of human emotions in natural environments with enhanced emotional induction. Our findings are expected to improve the predictive power of affective computing models and foster a deeper understanding of human affective states, ultimately contributing to advances in both affective science and affective computing.