ArticleBehavior research methods2024
GlassesValidator: A data quality tool for eye tracking glasses.
Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- The fundamentals of eye tracking, Part 7: Determining data quality.Behavior research methods · 2026Article
- Mobile eye tracking in the real world: Best practices.Journal of vision · 2026Article
- The effect of pupil size on data quality in head-mounted eye trackers.Behavior research methods · 2025Article
- Keeping your eye, head, and hand on the ball: Rapidly orchestrated visuomotor behavior in a continuous action task.Journal of vision · 2025Article
- The fundamentals of eye tracking part 5: The importance of piloting.Behavior research methods · 2025Article
- The fundamentals of eye tracking part 3: How to choose an eye tracker.Behavior research methods · 2025Article
- The fundamentals of eye tracking part 4: Tools for conducting an eye tracking study.Behavior research methods · 2025Article
- Implementing mobile eye tracking in psychological research: A practical guide.Behavior research methods · 2024Review
- Gaze-action coupling, gaze-gesture coupling, and exogenous attraction of gaze in dyadic interactions.Attention, perception & psychophysics · 2024Article
- When knowing the activity is not enough to predict gaze.Journal of vision · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
According to the proposal for a minimum reporting guideline for an eye tracking study by Holmqvist et al. (2022), the accuracy (in degrees) of eye tracking data should be reported. Currently, there is no easy way to determine accuracy for wearable eye tracking recordings. To enable determining the accuracy quickly and easily, we have produced a simple validation procedure using a printable poster and accompanying Python software. We tested the poster and procedure with 61 participants using one wearable eye tracker. In addition, the software was tested with six different wearable eye trackers. We found that the validation procedure can be administered within a minute per participant and provides measures of accuracy and precision. Calculating the eye-tracking data quality measures can be done offline on a simple computer and requires no advanced computer skills.
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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.