ArticlePeerJ2019
A new comprehensive eye-tracking test battery concurrently evaluating the Pupil Labs glasses and the EyeLink 1000.
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
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Who cites it
61 citing papers in PubMed, 131 citations in OpenAlex.
- Evaluation of the Wearable Eye Tracker Pupil Labs Neon for Gaze Fixation Analysis in Screen-Based Fixation Tasks: Comparison with Tobii Pro Fusion.Journal of eye movement research · 2026Article
- Joint infrared pupil images and near-corneal-plane spectral light exposure data under natural conditions.Scientific data · 2026Article
- PyNeon: A Python package for the analysis of Neon multimodal mobile eye-tracking data.Behavior research methods · 2026Article
- iPad Eye Tracking Reproduces Clinical Grade Oculomotor Differences in Parkinson's Disease.NPJ digital medicine · 2026Article
- Unified modelling of gaze and pupil dynamics in saccadic tasks.Scientific reports · 2026Article
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- Comprehensive dataset of features describing eye-gaze dynamics across multiple tasks.Scientific data · 2026Article
- Integrating Cutting-Edge Technologies in Food Sensory and Consumer Science: Applications and Future Directions.Foods (Basel, Switzerland) · 2025Review
- The effect of pupil size on data quality in head-mounted eye trackers.Behavior research methods · 2025Article
- Robust Camera-Based Eye-Tracking Method Allowing Head Movements and Its Application in User Experience Research.Journal of eye movement research · 2025Article
- Towards scalable screening for the early detection of Parkinson's disease: validation of an iPad-based eye movement assessment system against a clinical-grade eye tracker.NPJ Parkinson's disease · 2025Article
- Cross-cultural analysis of eye-movement patterns in visual scene perception: a comparison of seven cultural samples.Scientific reports · 2025Article
- In the blink of an eye: behavioural correlates of the confirmation bias effect.Cognitive processing · 2025Article
- Smartphone eye-tracking with deep learning: Data quality and field testing.Behavior research methods · 2025Article
- The impact of eye movements on amblyopic vision: A mini-review.Vision research · 2025Review
- Accurate eye tracking from dense 3D surface reconstructions using single-shot deflectometry.Nature communications · 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
- Cognitive visual strategies are associated with delivery accuracy in elite wheelchair curling: insights from eye-tracking and machine learning.Frontiers in psychology · 2025Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Eye-tracking experiments rely heavily on good data quality of eye-trackers. Unfortunately, it is often the case that only the spatial accuracy and precision values are available from the manufacturers. These two values alone are not sufficient to serve as a benchmark for an eye-tracker: Eye-tracking quality deteriorates during an experimental session due to head movements, changing illumination or calibration decay. Additionally, different experimental paradigms require the analysis of different types of eye movements; for instance, smooth pursuit movements, blinks or microsaccades, which themselves cannot readily be evaluated by using spatial accuracy or precision alone. To obtain a more comprehensive description of properties, we developed an extensive eye-tracking test battery. In 10 different tasks, we evaluated eye-tracking related measures such as: the decay of accuracy, fixation durations, pupil dilation, smooth pursuit movement, microsaccade classification, blink classification, or the influence of head motion. For some measures, true theoretical values exist. For others, a relative comparison to a reference eye-tracker is needed. Therefore, we collected our gaze data simultaneously from a remote EyeLink 1000 eye-tracker as the reference and compared it with the mobile Pupil Labs glasses. As expected, the average spatial accuracy of 0.57° for the EyeLink 1000 eye-tracker was better than the 0.82° for the Pupil Labs glasses (
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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.