30 citations · 55 across the 5 of their papers we have counts for
5 papers
Eye-Tracking-while-Reading: A Living Survey of Datasets with Open Library Support
Deborah N. Jakobi, David R. Reich, Paul Prasse +3
Eye-tracking-while-reading corpora are a valuable resource for many different disciplines and use cases. Use cases range from studying the cognitive processes underlying reading to…
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…
PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus
Deborah N. Jakobi, Thomas Kern, David R. Reich +2
The Potsdam Textbook Corpus (PoTeC) is a naturalistic eye-tracking-while-reading corpus containing data from 75 participants reading 12 scientific texts. PoTeC is the first natural…
ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts
Lena S. Bolliger, David R. Reich, Patrick Haller +3
Eye movements in reading play a crucial role in psycholinguistic research studying the cognitive mechanisms underlying human language processing. More recently, the tight coupling…
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…