ArticleBehavior research methods2024
Eye tracker calibration: How well can humans refixate a target?
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 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Correction for the pupil size artifact improves the measurement of fixation drift with a head-mounted pupil tracker.Behavior research methods · 2026Article
- The fundamentals of eye tracking, Part 7: Determining data quality.Behavior research methods · 2026Article
- The fundamentals of eye tracking part 6: Working with areas of interest.Behavior research methods · 2026Article
- The impact of the pupil size artifact on pupil-based eye-tracking data in reading tasks: Assessment and compensation.Behavior research methods · 2025Article
- The effect of pupil size on data quality in head-mounted eye trackers.Behavior research methods · 2025Article
- The best fixation target revisited: New insights from retinal eye tracking.Behavior research methods · 2025Article
- Deep reinforcement learning for automatic defocus correction using OCT image intensity.Biomedical optics express · 2025Article
- gazeMapper: A tool for automated world-based analysis of gaze data from one or multiple wearable eye trackers.Behavior research methods · 2025Article
- On the Validity and Benefit of Manual and Automated Drift Correction in Reading Tasks.Journal of eye movement research · 2025Article
- Gaze Error Estimation and Linear Transformation to Improve Accuracy of Video-Based Eye Trackers.Vision (Basel, Switzerland) · 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Irrespective of the precision, the inaccuracy of a pupil-based eye tracker is about 0.5
Indexed as
Identifiers
What OpenQuestion holds
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.