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  • Publications
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  • Methodology
  • Researcher Interviews
    • Comparing Online Webcam- and Laboratory-Based Eye-Tracking for the Assessment of Infant Audio-Visual Synchrony Perception
    • Finding Goldilocks Influencers- How Follower Count Drives Social Media Engagement
    • The semantic interference in 9- to 36-month old infants: An at-home eye-tracking study on infants' lexical abilities
    • Song Is More Memorable Than Speech Prosody - Discrete Pitches Aid Auditory Working Memory
    • Orthographic Relatedness and Transposed-word Effects in the Grammatical Decision Task
    • Emotion Modulation through Music after Sadness Induction
    • Children Learning Non-Adjacent Dependencies
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    • Are All Eyes the Same?
    • Verbal Priming in Infants
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    • AI Can Predict Where You'll Look. It Still Doesn't Know What You'll Do.
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Lab Notes

Every feature of Labvanced that touches measurement is built on data we record ourselves: online participants, real devices, real rooms. Lab Notes is where we publish that work in full, as a research group would, with the method, the numbers and the figures, rather than as a feature announcement. Each note is a self-contained report on one project. The data behind the figures ships with the note.

Notes

Labvanced Eye Tracking 2.0: accurate webcam eye tracking for all online research

October 2026. The technical report on Eye Tracking 2.0: what changed in the engine, how it was validated on about 500 Prolific participants, and what accuracy a study can now expect at each tier and screening level, from about 1.8° of visual angle with a two-minute calibration to about 1.4° on the highest tier.

What is the best fixation detector for webcam eye tracking?

October 2026, in progress. How fixation detection algorithms cope with 30 Hz webcam gaze data: our dispersion-based detectors, the Engbert and Kliegl velocity algorithm and the new Merged Fixations detector, compared against simultaneous EyeLink recordings and on Prolific participants.

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