118 citations · 172 across the 5 of their papers we have counts for
5 papers
Reporting Eye-Tracking Data Quality: Towards a New Standard
Deborah N. Jakobi, Daniel G. Krakowczyk, Lena A. Jäger
Eye-tracking datasets are often shared in the format used by their creators for their original analyses, usually resulting in the exclusion of data considered irrelevant to the pri…
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models
Daniel G. Krakowczyk, Paul Prasse, David R. Reich +3
Recent work in XAI for eye tracking data has evaluated the suitability of feature attribution methods to explain the output of deep neural sequence models for the task of oculomotr…
pymovements: A Python Package for Eye Movement Data Processing
Daniel G. Krakowczyk, David R. Reich, Jakob Chwastek +6
We introduce pymovements: a Python package for analyzing eye-tracking data that follows best practices in software development, including rigorous testing and adherence to coding s…
Detection of ADHD based on Eye Movements during Natural Viewing
Shuwen Deng, Paul Prasse, David R. Reich +7
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that is highly prevalent and requires clinical specialists to diagnose. It is known that an individ…
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
Anna Hedström, Leander Weber, Dilyara Bareeva +5
The evaluation of explanation methods is a research topic that has not yet been explored deeply, however, since explainability is supposed to strengthen trust in artificial intelli…