The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more
Open accessAbstract
We use simulations to investigate the effect of sampling frequency on common dependent variables in eye-tracking. We identify two large groups of measures that behave differently, but consistently. The effect of sampling frequency on these two groups of measures are explored and simulations are performed to estimate how much data are required to overcome the uncertainty of a limited sampling frequency. Both simulated and real data are used to estimate the temporal uncertainty of data produced by low sampling frequencies. The aim is to provide easy-to-use heuristics for researchers using eye-tracking. For example, we show how to compensate the uncertainty of a low sampling frequency with more data and postexperiment adjustments of measures. These findings have implications primarily for researchers using naturalistic setups where sampling frequencies typically are low.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Eye movements in reading and information processing: 20 years of research
Rayner, K. (1998) · Psychological Bulletin · doi:10.1037/0033-2909.124.3.372 · Cited by 7,979
Cited by
Best practices in eye tracking research
Carter, B. T., & Luke, S. G. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.05.010 · Cited by 659
Eye tracker data quality: what it is and how to measure it
Holmqvist, K., Nyström, M., & Mulvey, F. (2012) · Proceedings of the Symposium on Eye Tracking Research and Applications · doi:10.1145/2168556.2168563 · Cited by 353
Self-citationEye Tracking in Virtual Reality: a Broad Review of Applications and Challenges
Adhanom, I. B., MacNeilage, P., & Folmer, E. (2023) · Virtual Reality · doi:10.1007/s10055-022-00738-z · Cited by 325
Metadata
- Authors
- Andersson, R., Nyström, M., & Holmqvist, K.
- Venue
- Journal of Eye Movement Research
- Publisher
- MDPI AG
- Published
- 2010-09-13
- Volume
- 3
- Issue
- 3
- ISSN
- 1995-8692 (ISSN-L)
- OpenAlex
- W1924557153
- Cited by
- 200
- References
- 1
- FWCI
- 5.63
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more. https://app.cochat.ai/papers/10.16910/jemr.3.3.6
- The paper
- Andersson, R., Nyström, M., & Holmqvist, K. (2010). Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more. Journal of Eye Movement Research. https://doi.org/10.16910/jemr.3.3.6
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.