ArticleBehavior research methods2025
gazeMapper: A tool for automated world-based analysis of gaze data from one or multiple wearable eye trackers.
Article in Behavior research methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- PyNeon: A Python package for the analysis of Neon multimodal mobile eye-tracking data.Behavior research methods · 2026Article
- The fundamentals of eye tracking, Part 7: Determining data quality.Behavior research methods · 2026Article
- Where are they looking in the operating room?International journal of computer assisted radiology and surgery · 2026Article
- The fundamentals of eye tracking part 6: Working with areas of interest.Behavior research methods · 2026Article
- Mobile eye tracking in the real world: Best practices.Journal of vision · 2026Article
- Visual Strategies of Avoidantly Attached Individuals: Attachment Avoidance and Gaze Behavior in Deceptive Interactions.Journal of eye movement research · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
the problemwearable eye trackers deliver eye-tracking data on a scene video that is acquired by a camera affixed to the participant's head. Analyzing and interpreting such head-centered data is difficult and laborious manual work. Automated methods to map eye-tracking data to a world-centered reference frame (e.g., screens and tabletops) are available. These methods usually make use of fiducial markers. However, such mapping methods may be difficult to implement, expensive, and eye tracker-specific. THE SOLUTION: 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.