The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Eye movements in natural behavior
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
A robust layered control system for a mobile robot
Brooks, R. (1986) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1986.1087032 · Cited by 7,799 · cited 1×
“Almost invariably, the visual computation needed in a task context is vastly simpler than that required by general-purpose vision and, as a consequence, can be done very quickly [52-55].”
BackgroundComputational modelling of visual attention
Itti, L., & Koch, C. (2001) · Nature Reviews Neuroscience · doi:10.1038/35058500 · Cited by 4,733
Neural correlates of decision variables in parietal cortex
Platt, M. L., & Glimcher, P. W. (1999) · Nature · doi:10.1038/22268 · Cited by 1,721
Multiple reward signals in the brain
Schultz, W. (2000) · Nature Reviews Neuroscience · doi:10.1038/35044563 · Cited by 1,303
Corbetta, M. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.3.831 · Cited by 995
Computational roles for dopamine in behavioural control
Montague, P. R., Hyman, S. E., & Cohen, J. D. (2004) · Nature · doi:10.1038/nature03015 · Cited by 966
Memory Representations in Natural Tasks
Ballard, D. H., Hayhoe, M. M., & Pelz, J. B. (1995) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1995.7.1.66 · Cited by 817
Self-citationFrom eye movements to actions: how batsmen hit the ball
Land, M. F., & McLeod, P. (2000) · Nature Neuroscience · doi:10.1038/81887 · Cited by 725
Temporal difference models describe higher-order learning in humans
Seymour, B., O'Doherty, J. P., Dayan, P., Koltzenburg, M., Jones, A. K., Dolan, R. J., Friston, K. J., & Frackowiak, R. S. (2004) · Nature · doi:10.1038/nature02581 · Cited by 605
Modulation of Neuronal Activity in Superior Colliculus by Changes in Target Probability
Basso, M. A., & Wurtz, R. H. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-18-07519.1998 · Cited by 474
Cited by
Rayner, K. (2009) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470210902816461 · Cited by 2,682
Attention mechanisms in computer vision: A survey
Guo, M.-H., Xu, T.-X., Liu, J.-J., Liu, Z.-N., Jiang, P.-T., Mu, T.-J., Zhang, S.-H., Martin, R. R., Cheng, M.-M., & Hu, S.-M. (2022) · Computational Visual Media · doi:10.1007/s41095-022-0271-y · Cited by 2,566
“M ETHODS for diverting attention to the most important regions of an image and disregarding irrelevant parts are called attention mechanisms; the human visual system uses one [1], [2], [3], [4] to assist in analyzing and understanding complex scenes efficiently and effectively.”
BackgroundPrinciples of sensorimotor learning
Wolpert, D. M., Diedrichsen, J., & Flanagan, J. R. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3112 · Cited by 1,391
Two types of dopamine neuron distinctly convey positive and negative motivational signals
Matsumoto, M., & Hikosaka, O. (2009) · Nature · doi:10.1038/nature08028 · Cited by 1,378
What do we mean by prediction in language comprehension?
Kuperberg, G. R., & Jaeger, T. F. (2016) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2015.1102299 · Cited by 1,087
Eye tracking of attention in the affective disorders: a meta-analytic review and synthesis
Armstrong, T., & Olatunji, B. O. (2012) · Clinical Psychology Review · doi:10.1016/j.cpr.2012.09.004 · Cited by 1,049
“However, in naturalistic viewing, EMs are the primary means of attentional selection, with covert attention largely relegated to guiding EMs (Findlay & Gilchrist, 2003; Hayhoe & Ballard, 2005).”
BackgroundSaliency, attention, and visual search: An information theoretic approach
Bruce, N. D. B., & Tsotsos, J. K. (2009) · Journal of Vision · doi:10.1167/9.3.5 · Cited by 855
Eye movements and the control of actions in everyday life
Land, M. F. (2006) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2006.01.002 · Cited by 667
Embodied attention and word learning by toddlers
Yu, C., & Smith, L. B. (2012) · Cognition · doi:10.1016/j.cognition.2012.06.016 · Cited by 502
Altmann, G. T. M., & Kamide, Y. (2007) · Journal of Memory and Language · doi:10.1016/j.jml.2006.12.004 · Cited by 434
Gaze and the Control of Foot Placement When Walking in Natural Terrain
Matthis, J. S., Yates, J. L., & Hayhoe, M. M. (2018) · Current Biology · doi:10.1016/j.cub.2018.03.008 · Cited by 424
Self-citationBasal ganglia orient eyes to reward
Hikosaka, O., Nakamura, K., & Nakahara, H. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00458.2005 · Cited by 377
Task and context determine where you look
Rothkopf, C. A., Ballard, D. H., & Hayhoe, M. M. (2016) · Journal of Vision · doi:10.1167/7.14.16 · Cited by 366
Self-citationLearning to Attend and to Ignore Is a Matter of Gains and Losses
Della Libera, C., & Chelazzi, L. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02360.x · Cited by 329
The Social Origins of Sustained Attention in One-Year-Old Human Infants
Yu, C., & Smith, L. B. (2016) · Current Biology · doi:10.1016/j.cub.2016.03.026 · Cited by 255
Attention, learning, and the value of information
Gottlieb, J. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.034 · Cited by 241
“…Rather than searching for an ‘‘intrinsic’’ preference for information, studies of eye movements in natural behaviors have Perspective adopted a more pragmatic approach and attempt to estimate the material value that an eye movement may bring (Hayhoe and Ballard, 2005; Tatler et al., 2011).”
BackgroundThe intrinsic value of visual information affects saccade velocities
Xu-Wilson, M., Zee, D. S., & Shadmehr, R. (2009) · Experimental Brain Research · doi:10.1007/s00221-009-1879-1 · Cited by 160
Predictive eye movements in natural vision
Hayhoe, M. M., McKinney, T., Chajka, K., & Pelz, J. B. (2012) · Experimental Brain Research · doi:10.1007/s00221-011-2979-2 · Cited by 155
Self-citationAdolph, K. E., & Robinson, S. R. (2015) · Handbook of Child Psychology and Developmental Science · doi:10.1002/9781118963418.childpsy204 · Cited by 135
Narcissism and consumer behaviour: a review and preliminary findings
Cisek, S. Z., Sedikides, C., Hart, C. M., Godwin, H. J., Benson, V., & Liversedge, S. P. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00232 · Cited by 121
Action perception as hypothesis testing
Donnarumma, F., Costantini, M., Ambrosini, E., Friston, K., & Pezzulo, G. (2017) · Cortex · doi:10.1016/j.cortex.2017.01.016 · Cited by 90
The fundamentals of eye tracking part 1: the link between theory and research question
Hessels, R. S., Nuthmann, A., Nyström, M., Andersson, R., Niehorster, D. C., & Hooge, I. T. C. (2024) · Behavior Research Methods · doi:10.3758/s13428-024-02544-8 · Cited by 70
Memory and prediction in natural gaze control.
Diaz, G., Cooper, J., & Hayhoe, M. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0064 · Cited by 57
Self-citationDynamic representation of 3D auditory space in the midbrain of the free-flying echolocating bat
Kothari, N. B., Wohlgemuth, M. J., & Moss, C. F. (2018) · eLife · doi:10.7554/elife.29053 · Cited by 54
Gaze behavior during incidental and intentional navigation in an outdoor environment
Wenczel, F., Hepperle, L., & von Stülpnagel, R. (2017) · Spatial Cognition & Computation · doi:10.1080/13875868.2016.1226838 · Cited by 51
Ambulatory assessment in panic disorder and specific phobia.
Alpers, G. W. (2009) · Psychological Assessment · doi:10.1037/a0017489 · Cited by 40
de Barbaro, K., Chiba, A., & Deák, G. O. (2011) · Developmental Science · doi:10.1111/j.1467-7687.2011.01066.x · Cited by 34
Gaze patterns in navigation: Encoding information in large-scale environments
Hamid, S. N., Stankiewicz, B., & Hayhoe, M. (2010) · Journal of Vision · doi:10.1167/10.12.28 · Cited by 31
Self-citationTraining Robots Without Robots: Deep Imitation Learning for Master-to-Robot Policy Transfer
Kim, H., Ohmura, Y., Nagakubo, A., & Kuniyoshi, Y. (2023) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2023.3262423 · Cited by 28
The Umwelt Representation Hypothesis: rethinking Universality
Bosch, V., Sommers, R. P., Doerig, A., & Kietzmann, T. C. (2026) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2026.07.004 · Cited by 2
Metadata
- Authors
- Hayhoe, M., & Ballard, D.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2005-04
- Volume
- 9
- Issue
- 4
- Pages
- 188-194
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2147299944
- Cited by
- 1,326
- References
- 11
- FWCI
- 9.24
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.
