Researchers survey eye-tracking datasets to boost reusability

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 →

• Deborah N. Jakobi
• pymovements

• paper
• other

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