In this thesis, you will implement a system that adapts the visualization of a document based on real-time relevance feedback. You will use/implement a machine learning model that predicts text relevance based on the users eye movements to, e.g., highlight relevant or hide irrelevant information from the user.

Anna Maria Feit, Lukas Vordemann, Seonwook Park, Caterina Berube, and Otmar Hilliges. 2020. Detecting relevance during decision-making from eye movements for UI adaptation. In Eye Tracking Research and Applications Symposium (ETRA), 1–11. https://doi.org/10.1145/3379155.3391321

Nilavra Bhattacharya, Somnath Rakshit, and Jacek Gwizdka. 2020. Towards Real-time Webpage Relevance Prediction Using Convex Hull Based Eye-tracking Features. In ACM Symposium on Eye Tracking Research and Applications, 10. https://doi.org/10.1145/3379157.3391302