Artificial Intelligence for Eye Tracking Data: Deep Learning Methods for the Automated Analysis of Cognitive Processes (AEye)

The associated Junior Research Group Artificial Intelligence for Eye Tracking Data (AEye), located at the Department of Computer Science at the University of Potsdam, is also headed by Lena Jäger. The main goal of this project is the development of machine learning methods for the analysis of eye-tracking data for different application areas such as the diagnosis of developmental language disorders, biometry, driver monitoring and adaptive e-learning.