Exploring the dynamic interplay of cognitive load and emotional arousal by using multimodal measurements: Correlation of pupil diameter and emotional arousal in emotionally engaging tasks

arXiv:2403.00366v1 Announce Type: cross
Abstract: Multimodal data analysis and validation based on streams from state-of-the-art sensor technology such as eye-tracking or emotion recognition using the Facial Action Coding System (FACTs) with deep learning allows educational researchers to study multifaceted learning and problem-solving processes and to improve educational experiences. This study aims to investigate the correlation between two continuous sensor streams, pupil diameter as an indicator of cognitive workload and FACTs with deep learning as an indicator of emotional arousal (RQ …

abstract analysis art arxiv coding cognitive correlation cs.cv cs.cy data data analysis deep learning dynamic educational emotion facts multimodal multimodal data recognition sensor state tasks technology tracking type validation