PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus
<|reference_start|>PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus: 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 naturalistic eye-tracking-while-reading corpus that contains eye-movements from domain-experts as well as novices in a within-participant manipulation: It is based on a 2x2x2 fully-crossed factorial design which includes the participants' level of study and the participants' discipline of study as between-subject factors and the text domain as a within-subject factor. The participants' reading comprehension was assessed by a series of text comprehension questions and their domain knowledge was tested by text-independent background questions for each of the texts. The materials are annotated for a variety of linguistic features at different levels. We envision PoTeC to be used for a wide range of studies including but not limited to analyses of expert and non-expert reading strategies. The corpus and all the accompanying data at all stages of the preprocessing pipeline and all code used to preprocess the data are made available via GitHub: https://github.com/DiLi-Lab/PoTeC.<|reference_end|>
@article{jakobi2024potec:,
    title={PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus},
    author={Deborah N. Jakobi and Thomas Kern and David R. Reich and Patrick
  Haller and Lena A. J"ager},
    journal={arXiv preprint arXiv:2403.00506},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.00506},
    primaryClass={cs.CL}
}