PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866910029433536512 |
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| author | Jakobi, Deborah N. Kern, Thomas Reich, David R. Haller, Patrick Jäger, Lena A. |
| author_facet | Jakobi, Deborah N. Kern, Thomas Reich, David R. Haller, Patrick Jäger, Lena A. |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2403_00506 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus Jakobi, Deborah N. Kern, Thomas Reich, David R. Haller, Patrick Jäger, Lena A. Computation and Language 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. |
| title | PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2403.00506 |