mlsanityData to 7 Oct 2026

PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus

arXiv 2403.00506 ↗First posted 1 Mar 2024cs.CLcited by 5

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Abstract (arXiv)

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.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 22 of its 102 references that are in the map. First posted on arXiv 1 Mar 2024.

Builds on

22 of 102 references.

References · 22

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10 more
  1. 2020Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gazecited by 16
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 1; 2026: 2.

5 papers.