gazeMapper: A tool for automated world-based analysis of gaze data from one or multiple wearable eye trackers
here we present gazeMapper, an open-source tool for automated mapping and processing of eye-tracking data. gazeMapper can: (1) Transform head-centered data to planes in the world, (2) synchronize recordings from multiple participants, (3) determine data quality measures, e.g., accuracy and precision. gazeMapper comes with a GUI application (Windows, macOS, and Linux) and supports 11 different wearable eye trackers from AdHawk, Meta, Pupil, SeeTrue, SMI, Tobii, and Viewpointsystem. It is also possible to sidestep the GUI and use gazeMapper as a Python library directly.
Authors
- Diederick C. Niehorster (ORCID: https://orcid.org/0000-0002-4672-8756)
- Ignace T. C. Hooge (ORCID: https://orcid.org/0000-0002-2790-892X)
- Roy S. Hessels (ORCID: https://orcid.org/0000-0002-4907-1067)
- Jeroen S. Benjamins (ORCID: https://orcid.org/0000-0003-4341-7167)
- Marcus Nyström (ORCID: https://orcid.org/0000-0002-2089-9012)
Institutions
- University of Applied Sciences Utrecht (NL)
- Lund University (SE)
- Utrecht University (NL)
Publication Details
- Journal
- Behavior Research Methods
- Published
- 2025-06-03
- DOI
- https://doi.org/10.3758/s13428-025-02704-4
- Citations
- 5
- Primary Topic
- Gaze Tracking and Assistive Technology
- Type
- article
- Field-Weighted Citation Impact
- 9.68
Funders
- Lunds Universitet