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Researchers survey eye-tracking datasets to boost reusability

By PulseAugur Editorial · [1 sources] ·

Researchers have published a living survey of eye-tracking-while-reading datasets, aiming to increase transparency and reusability in the field. The survey details over 55 features for each dataset and integrates publicly available data into the Python package `pymovements`. This initiative seeks to promote FAIR principles and good scientific practices like reproducibility in eye-tracking research. AI

IMPACT Facilitates the development of machine-learning applications for reading comprehension and cognitive process studies.

RANK_REASON This is a survey paper detailing datasets and a software package for eye-tracking research. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Researchers survey eye-tracking datasets to boost reusability

COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Deborah N. Jakobi, David R. Reich, Paul Prasse, Jana M. Hofmann, Lena S. Bolliger, Lena A. J\"ager ·

    Eye-Tracking-while-Reading: A Living Survey of Datasets with Open Library Support

    arXiv:2602.19598v2 Announce Type: replace Abstract: 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 machine-learning-based applications, such as ga…

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