ArticleBehavior research methods2020
Quantitative comparison of a mobile and a stationary video-based eye-tracker.
Article in Behavior research methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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
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Who cites it
8 citing papers in PubMed.
- Data-Driven Insights into E-Learning: A Comprehensive Review of Eye-Tracking Applications in Learning Systems.Journal of eye movement research · 2026Review
- Eye Tracking-Enhanced Deep Learning for Medical Image Analysis: A Systematic Review on Data Efficiency, Interpretability, and Multimodal Integration.Bioengineering (Basel, Switzerland) · 2025Review
- The fundamentals of eye tracking part 3: How to choose an eye tracker.Behavior research methods · 2025Article
- Quantitative comparison of a mobile, tablet-based eye-tracker and two stationary, video-based eye-trackers.Behavior research methods · 2025Article
- Assessing the data quality of AdHawk MindLink eye-tracking glasses.Behavior research methods · 2024Article
- The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review.IEEE journal of biomedical and health informatics · 2024Review
- Motor "laziness" constrains fixation selection in real-world tasks.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Perceptual-Cognitive Integration for Goal-Directed Action in Naturalistic Environments.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Vision represents the most important sense of primates. To understand visual processing, various different methods are employed-for example, electrophysiology, psychophysics, or eye-tracking. For the latter method, researchers have recently begun to step outside the artificial environments of laboratory setups toward the more natural conditions we usually face in the real world. To get a better understanding of the advantages and limitations of modern mobile eye-trackers, we quantitatively compared one of the most advanced mobile eye-trackers available, the EyeSeeCam, with a commonly used laboratory eye-tracker, the EyeLink II, serving as a gold standard. We aimed to investigate whether or not fully mobile eye-trackers are capable of providing data that would be adequate for direct comparisons with data recorded by stationary eye-trackers. Therefore, we recorded three different, commonly used eye movements-fixations, saccades, and smooth-pursuit eye movements-with both eye-trackers, in successive standardized paradigms in a laboratory setting with eight human subjects. Despite major technical differences between the devices, most eye movement parameters were not statistically different between the two systems. Differences could only be found in overall gaze accuracy and for time-critical parameters such as saccade duration, for which a higher sample frequency is especially useful. Although the stationary EyeLink II system proved to be superior, especially on a single-subject or even a single-trial basis, the ESC showed similar performance for the averaged parameters across both trials and subjects. We concluded that modern mobile eye-trackers are well-suited to providing reliable oculomotor data at the required spatial and temporal resolutions.
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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.