This study on affective computing assumes that privileged information (available in lab settings) can aid models of affect to perform well in real-world settings where privileged information is absent. Two games (Survival Shooter, Space-Maze) are tested. The games' priviledged information (teacher model) is game telemetry data, heart rate, electrodermal activity. The games' non-privileged information (student model) is the pixels of the gameplay footage. In a followup study, webcam videos were used as non-privileged information while audiovisual and physiology metrics were used as privileged information.
Konstantinos Makantasis, David Melhart, Antonios Liapis and Georgios N. Yannakakis: "Privileged Information for Modeling Affect In The Wild," in Proceedings of the IEEE International Conference on Affective Computing and Intelligent Interaction, 2021. PDF BibTex
Konstantinos Makantasis, Kosmas Pinitas, Antonios Liapis and Georgios N. Yannakakis: "From the Lab to the Wild: Affect Modeling via Privileged Information," in IEEE Transactions on Affective Computing 15(2), 2024. PDF BibTex