From November 23–25, researchers from WG 1 and WG 2 gathered at the University of Zurich, Department of Computational Linguistics, for an intensive hackathon focused on developing the preprocessing pipeline for the MultiplEYE data which will not only include gaze event detection and the mapping of interest areas, but also extensive data visualization and automated, comprehensive data quality documentation. The ultimate goal is to create a fully transparent, well-documented, and easily accessible MultiplEYE database—the MultiplEYEStore, hosted by PsychArchives—that adheres to the FAIR principles and sets new standards for open research data in eye-tracking studies.
A key component of this work involves the Python package pymovements, developed by members of the MultiplEYE Action, which can not only be used for processing and visualizing eye-tracking data, but also contains a library of publicly available eye-tracking data sets. Check out pymovements here https://pypi.org/project/pymovements/ or contrbute to it here https://github.com/aeye-lab/pymovements.
The hackathon was highly productive, with great progress made towards these goals. Looking ahead, we plan to host two more hackathons in 2025.
We are also actively seeking new team members who are proficient in Python and interested in contributing to this exciting project. If you’d like to get involved, please reach out to Lena Jäger (University of Zurich).
