SOPHIAS Dataset

To address this gap, we present SOPHIAS (Student Oral Presentation monitoring for Holistic Insights & Analytics using Sensors), a multimodal dataset containing recordings of 50 oral presentations (10-minute presentation followed by 5-minute Q&A) delivered by 65 undergraduate and master’s students at the Universidad Autónoma de Madrid.

SOPHIAS integrates nine synchronized sensor streams from high-definition webcams, ambient and webcam audio, eye-tracking glasses, smartwatch physiological sensors, and clicker/keyboard/mouse interactions. In addition, the dataset includes slides and rubric-based evaluations from teachers, peers, and self-assessments, along with timestamped contextual annotations. The dataset captures presentations conducted in real classroom settings, preserving authentic student behaviors, interactions, and physiological responses.