Accepted Papers
Accepted Papers
Alperen Kantarci, Visvanathan Ramesh, and Gemma Roig. 2026. Mind the Student: Behavioral and Contextual Cues for Automated Engagement Prediction in Online Learning. In Proceedings of the International Conference on Multimodal Interaction (ICMI ’26). Association for Computing Machinery, New York, NY, USA.
Adim Boubaker, Safa Bettoumi, Lionel Prevost, Moez Ben Hajhmida, and Yousri Kessentini. 2026. Hierarchical Behavioral Transformer Modeling and Multimodal Context Fusion for Student Engagement Detection. In Proceedings of the 28th International Conference on Multimodal Interaction (ICMI ’26). Association for Computing Machinery, New York, NY, USA.
Mohit Bansal, Arnold Sachith A Hans, and Smitha Rao. 2026. MCL-SED: A Multimodal CASED-LLaMA Framework for Student Engagement Detection in Virtual Classroom. In Proceedings of the 28th International Conference on Multimodal Interaction (ICMI ’26). Association for Computing Machinery, New York, NY, USA.
Anis Elebiary, Rupal Agarwal, Saurabh Hinduja, and Shaun Canavan. 2026. Protocol-Aware Gradient Boosting for Context-Aware Student Engagement Detection. In Proceedings of the 28th International Conference on Multimodal Interaction (ICMI ’26). Association for Computing Machinery, New York, NY, USA.
Luigi D’Arco, Raffaella Esposito, Diego Veneruso, Lily-Cannelle Mathieu, Mario Barbato, Andreas Naoum, Imadaldin Mohamed Berika Ismail, Alessandra Rossi, and Silvia Rossi. 2026. Multimodal Deep Learning for Context-Aware Engagement Estimation in Online Learning. In Proceedings of the 28th ACM International Conference on Multimodal Interaction (ICMI 2026). Association for Computing Machinery, New York, NY, USA.
Andreas Naoum, Mario Barbato, Lily-Cannelle Mathieu, Imadaldin Mohamed Berika Ismail, Raffaella Esposito, Diego Veneruso, Luigi D’Arco, Alessandra Rossi, and Silvia Rossi. 2026. Context-Aware Student Engagement Detection with MLLM. In Proceedings of the 28th International Conference on Multimodal Interaction (ICMI ’26). Association for Computing Machinery, New York, NY, USA.