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
Researchers
Dr. Maja Stegenwallner-Schütz
David R. Reich
Research assistants
Jakob Chwastek
Assunta Süss