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

The goal of this Junior Research Group is the development of machine learning methods (mainly deep neural network architectures) 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.

This project is located at the Department of Computer Science at the University of Potsdam, Germany and is funded by the German Federal Ministry for Education and research. For details see  Artificial Intelligence for Eye Tracking Data

Project duration: 2020-2024


Principal Investigator

Prof. Dr. Lena A. Jäger



Dr. Paul Prasse

Dr. Maja Stegenwallner-Schütz

Chiara Tschirner

David R. Reich

Shuwen Deng

Daniel Krakowczyk


Research assistants

Jakob Chwastek

Assunta Süss