Peekr - Eye-Tracking Task
●ValidatedPlatform: HTML · English · · verified 67d ago
Description
A browser-based eye-tracking library implemented using WebAssembly technology. Peekr enables web-based eye-tracking experiments that can run directly in modern browsers without additional software installation. Full documentation and implementation details are available on the GitHub repository. This tool facilitates online eye-tracking research for event cognition and visual attention studies.
Contact & Lab
Contributors
Citation
Taore, A. (2024). Evaluating Eye Tracking on a Consumer-Grade Device for Research and Healthcare Applications [PhD thesis, University of Auckland]. https://researchspace.auckland.ac.nz/handle/2292/70296
Credits
Original Peekr design and reference implementation by Aryaman Taore (Stanford University); we thank him for sharing the task with the NCCR Evolving Language community. Adapted and packaged for the Tasks Library by Hugo Farajallah.
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Task Outputs
Web-based gaze tracking for reading and visual attention research
- Fixation locations and durations
- Saccade patterns and scanpaths
- Areas of interest (AOI) dwell times
| Variable | Role | Type | Description | Unit |
|---|---|---|---|---|
gaze_xstar | dependent | number | Horizontal gaze position | px |
gaze_ystar | dependent | number | Vertical gaze position | px |
fixation_duration | dependent | number | Duration of fixation | ms |
timestamp | metadata | number | Sample timestamp | ms |
calibration_accuracy | metadata | number | Calibration accuracy score | px |
Provenance
Source: nccr-seed
Fetched: 2025-02-05
Last verified: 2026-05-11 — passed