Evidence map›Paper›PMID 31240632›Full record

ArticleBehavior research methods2020

Quantitative comparison of a mobile and a stationary video-based eye-tracker.

Stefan Dowiasch, Peter Wolf, Frank Bremmer

Abstract readComparative Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review.IEEE journal of biomedical and health informatics · 2024
    Review
  7. Motor "laziness" constrains fixation selection in real-world tasks.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Perceptual-Cognitive Integration for Goal-Directed Action in Naturalistic Environments.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Stefan DowiaschDepartment of Neurophysics, Philipps-Universität Marburg, Marburg, Germany. stefan.dowiasch@physik.uni-marburg.de.
Peter WolfDepartment of Neurophysics, Philipps-Universität Marburg, Marburg, Germany.
Frank BremmerDepartment of Neurophysics, Philipps-Universität Marburg, Marburg, Germany.

Funding

Bundesministerium für Bildung und Forschung 13GW0241 - DIADEMDeutsche Forschungsgemeinschaft IRTG-1901
6 · The paper itself

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.

Indexed as

Eye MovementsHumansPursuit, SmoothVision, OcularAccuracy evaluation methodsEye movement analysisEye-trackingFixation eye movementMobile eye-trackingQuantitative comparative analysisSaccade eye movementsSmooth-pursuit eye movement (SPEM)

Identifiers

PMID31240632
PMCPMC7148267

What OpenQuestion holds

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Registered trials

None linked

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.