The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Variability of eye movements when viewing dynamic natural scenes
Open accessAbstract
How similar are the eye movement patterns of different subjects when free viewing dynamic natural scenes? We collected a large database of eye movements from 54 subjects on 18 high-resolution videos of outdoor scenes and measured their variability using the Normalized Scanpath Saliency, which we extended to the temporal domain. Even though up to about 80% of subjects looked at the same image region in some video parts, variability usually was much greater. Eye movements on natural movies were then compared with eye movements in several control conditions. "Stop-motion" movies had almost identical semantic content as the original videos but lacked continuous motion. Hollywood action movie trailers were used to probe the upper limit of eye movement coherence that can be achieved by deliberate camera work, scene cuts, etc. In a "repetitive" condition, subjects viewed the same movies ten times each over the course of 2 days. Results show several systematic differences between conditions both for general eye movement parameters such as saccade amplitude and fixation duration and for eye movement variability. Most importantly, eye movements on static images are initially driven by stimulus onset effects and later, more so than on continuous videos, by subject-specific idiosyncrasies; eye movements on Hollywood movies are significantly more coherent than those on natural movies. We conclude that the stimuli types often used in laboratory experiments, static images and professionally cut material, are not very representative of natural viewing behavior. All stimuli and gaze data are publicly available at http://www.inb.uni-luebeck.de/tools-demos/gaze.
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
Identifying fixations and saccades in eye-tracking protocols
Salvucci, D. D., & Goldberg, J. H. (2000) · Proceedings of the symposium on Eye tracking research & applications - ETRA '00 · doi:10.1145/355017.355028 · Cited by 2,203
Modeling the role of salience in the allocation of overt visual attention
Parkhurst, D., Law, K., & Niebur, E. (2002) · Vision Research · doi:10.1016/s0042-6989(01)00250-4 · Cited by 1,388
The Roles of Vision and Eye Movements in the Control of Activities of Daily Living
Land, M., Mennie, N., & Rusted, J. (1999) · Perception · doi:10.1068/p2935 · Cited by 1,094
Tatler, B. W. (2007) · Journal of Vision · doi:10.1167/7.14.4 · Cited by 1,028
Land, M. F., & Lee, D. N. (1994) · Nature · doi:10.1038/369742a0 · Cited by 1,017
In what ways do eye movements contribute to everyday activities?
Land, M. F., & Hayhoe, M. (2001) · Vision Research · doi:10.1016/s0042-6989(01)00102-x · Cited by 960
A hierarchy of temporal receptive windows in human cortex
Hasson, U., Yang, E., Vallines, I., Heeger, D. J., & Rubin, N. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5487-07.2008 · Cited by 874
Components of bottom-up gaze allocation in natural images
Peters, R. J., Iyer, A., Itti, L., & Koch, C. (2005) · Vision Research · doi:10.1016/j.visres.2005.03.019 · Cited by 739
Visual correlates of fixation selection: effects of scale and time
Tatler, B. W., Baddeley, R. J., & Gilchrist, I. D. (2005) · Vision Research · doi:10.1016/j.visres.2004.09.017 · Cited by 700
Guitton, D., & Volle, M. (1987) · Journal of Neurophysiology · doi:10.1152/jn.1987.58.3.427 · Cited by 627
Cited by
Eye guidance in natural vision: reinterpreting salience
Tatler, B. W., Hayhoe, M. M., Land, M. F., & Ballard, D. H. (2011) · Journal of Vision · doi:10.1167/11.5.5 · Cited by 775
Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes
Skaramagkas, V., Giannakakis, G., Ktistakis, E., Manousos, D., Karatzanis, I., Tachos, N., Tripoliti, E., Marias, K., Fotiadis, D. I., & Tsiknakis, M. (2023) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2021.3066072 · Cited by 419
Visualization of Eye Tracking Data: A Taxonomy and Survey
Blascheck, T., Kurzhals, K., Raschke, M., Burch, M., Weiskopf, D., & Ertl, T. (2017) · Computer Graphics Forum · doi:10.1111/cgf.13079 · Cited by 285
Gerber, S. M., Jeitziner, M.-M., Wyss, P., Chesham, A., Urwyler, P., Müri, R. M., Jakob, S. M., & Nef, T. (2017) · Scientific Reports · doi:10.1038/s41598-017-13153-1 · Cited by 151
Cognitive processing of a common stimulus synchronizes brains, hearts, and eyes
Madsen, J., & Parra, L. C. (2022) · PNAS Nexus · doi:10.1093/pnasnexus/pgac020 · Cited by 91
Metadata
- Authors
- Dorr, M., Martinetz, T., Gegenfurtner, K. R., & Barth, E.
- Venue
- Journal of Vision
- Published
- 2010-08-26
- Volume
- 10
- Issue
- 10
- Pages
- 28-28
- ISSN
- 1534-7362 (ISSN-L)
- OpenAlex
- W2105964837
- Cited by
- 450
- References
- 43
- FWCI
- 22.11
- 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: Variability of eye movements when viewing dynamic natural scenes. https://app.cochat.ai/papers/10.1167/10.10.28
- The paper
- Dorr, M., Martinetz, T., Gegenfurtner, K. R., & Barth, E. (2010). Variability of eye movements when viewing dynamic natural scenes. Journal of Vision. https://doi.org/10.1167/10.10.28
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.