Reward guides attention to object categories in real-world scenes.
Open accessAbstract
Reward is thought to motivate animal-approach behavior in part by automatically facilitating the perceptual processing of reward-associated visual stimuli. Studies have demonstrated this effect for low-level visual features such as color and orientation. However, outside of the laboratory, it is rare that low-level features uniquely characterize objects relevant for behavior. Here, we test whether reward can prime representations at the level of object category. Participants detected category exemplars (cars, trees, people) in briefly presented photographs of real-world scenes. On a subset of trials, successful target detection was rewarded and the effect of this reward was measured on the subsequent trial. Results show that rewarded selection of a category exemplar caused other members of this category to become visually salient, disrupting search when subsequently presented as distractors. It is important to note that this occurred even when there was little opportunity for the repetition of visual features between examples, with the rewarded selection of a human body increasing the salience of a subsequently presented face. Thus, selection of a category example appears to activate representations of prototypical category characteristics even when these are not present in the stimulus. In this way, reward can guide attention to categories of stimuli even when individual examples share no visual characteristics.
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Cites
A spreading-activation theory of semantic processing.
Collins, A. M., & Loftus, E. F. (1975) · Psychological Review · doi:10.1037/0033-295x.82.6.407 · Cited by 8,141 · see citing works
LabelMe: A Database and Web-Based Tool for Image Annotation
Russell, B. C., Torralba, A., Murphy, K. P., & Freeman, W. T. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-007-0090-8 · Cited by 4,210 · see citing works
What is the role of dopamine in reward: hedonic impact, reward learning, or incentive salience?
Berridge, K. C., & Robinson, T. E. (1998) · Brain Research Reviews · doi:10.1016/s0165-0173(98)00019-8 · Cited by 4,127 · see citing works
Speed of processing in the human visual system
Thorpe, S., Fize, D., & Marlot, C. (1996) · Nature · doi:10.1038/381520a0 · Cited by 3,538 · see citing works
Getting formal with dopamine and reward
Schultz, W. (2002) · Neuron · doi:10.1016/s0896-6273(02)00967-4 · Cited by 2,574 · see citing works
Representation and recognition of the spatial organization of three-dimensional shapes
Marr, D., & Nishihara, H. K. (1978) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1978.0020 · Cited by 2,159 · see citing works
Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson's method
Cousineau, D. (2005) · Tutorials in Quantitative Methods for Psychology · doi:10.20982/tqmp.01.1.p042 · Cited by 1,969 · see citing works
Ikemoto, S., & Panksepp, J. (1999) · Brain Research Reviews · doi:10.1016/s0165-0173(99)00023-5 · Cited by 1,450 · see citing works
Value-driven attentional capture
Anderson, B. A., Laurent, P. A., & Yantis, S. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1104047108 · Cited by 1,098 · see citing works
Short-term conceptual memory for pictures.
Potter, M. C. (1976) · Journal of Experimental Psychology Human Learning & Memory · doi:10.1037/0278-7393.2.5.509 · Cited by 1,022 · see citing works
Rapid natural scene categorization in the near absence of attention
Fei-Fei, L., Rufin Vanrullen, A., Christof Koch, A., & Perona, P. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.092277599 · Cited by 833 · see citing works
Neural organization for the long-term memory of paired associates
Sakai, K., & Miyashita, Y. (1991) · Nature · doi:10.1038/354152a0 · Cited by 743 · see citing works
Reward Changes Salience in Human Vision via the Anterior Cingulate
Hickey, C., Chelazzi, L., & Theeuwes, J. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.1026-10.2010 · Cited by 606 · see citing works
Self-citationVisual features of intermediate complexity and their use in classification
Ullman, S., Vidal-Naquet, M., & Sali, E. (2002) · Nature Neuroscience · doi:10.1038/nn870 · Cited by 600 · see citing works
Visual search in scenes involves selective and nonselective pathways
Wolfe, J. M., Võ, M. L. ‐., Evans, K. K., & Greene, M. R. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.12.001 · Cited by 518 · see citing works
How the deployment of attention determines what we see
Treisman, A. (2006) · Visual Cognition · doi:10.1080/13506280500195250 · Cited by 367 · see citing works
Visual Selective Attention and the Effects of Monetary Rewards
Libera, C. D., & Chelazzi, L. (2006) · Psychological Science · doi:10.1111/j.1467-9280.2006.01689.x · Cited by 365 · see citing works
Rewards evoke learning of unconsciously processed visual stimuli in adult humans
Seitz, A. R., Kim, D., & Watanabe, T. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.016 · Cited by 337 · see citing works
Learning 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 · see citing works
Is subliminal learning really passive?
Seitz, A. R., & Watanabe, T. (2003) · Nature · doi:10.1038/422036a · Cited by 300 · see citing works
Speed of processing in the human visual system
Thorpe, S. J., Fize, D., & Marlot, C. (1996) · American Journal of Ophthalmology · doi:10.1016/s0002-9394(14)72148-8 · Cited by 281 · see citing works
Perception of Objects in Natural Scenes: Is It Really Attention Free?
Evans, K. K., & Treisman, A. (2005) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.31.6.1476 · Cited by 281 · see citing works
Wachsmuth, E., Oram, M. W., & Perrett, D. I. (1994) · Cerebral Cortex · doi:10.1093/cercor/4.5.509 · Cited by 278 · see citing works
Perceptual learning rules based on reinforcers and attention
Roelfsema, P. R., Arjen Van Ooyen, B., & Watanabe, T. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.11.005 · Cited by 277 · see citing works
Persistence of value-driven attentional capture.
Anderson, B. A., & Yantis, S. (2012) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0030860 · Cited by 273 · see citing works
Selective Visual Attention and Motivation
Raymond, J. E., & O’Brien, J. L. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02391.x · Cited by 269 · see citing works
Kiss, M., Driver, J., & Eimer, M. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02281.x · Cited by 267 · see citing works
Attention-Gated Reinforcement Learning of Internal Representations for Classification
Roelfsema, P. R., & van Ooyen, A. (2005) · Neural Computation · doi:10.1162/0899766054615699 · Cited by 258 · see citing works
Neuronal representations of stimulus associations develop in the temporal lobe during learning
Messinger, A., Squire, L. R., Zola, S. M., & Albright, T. D. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.211431098 · Cited by 219 · see citing works
Attention in the real world: toward understanding its neural basis
Peelen, M. V., & Kästner, S. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.02.004 · Cited by 212 · see citing works
Self-citationReward creates oculomotor salience
Hickey, C., & van Zoest, W. (2012) · Current Biology · doi:10.1016/j.cub.2012.02.007 · Cited by 164 · see citing works
Self-citationReward Guides Vision when It's Your Thing: Trait Reward-Seeking in Reward-Mediated Visual Priming
Hickey, C., Chelazzi, L., & Theeuwes, J. (2010) · PLoS ONE · doi:10.1371/journal.pone.0014087 · Cited by 164 · see citing works
Self-citationGeneralization of value-based attentional priority
Anderson, B. A., Laurent, P. A., & Yantis, S. (2012) · Visual Cognition · doi:10.1080/13506285.2012.679711 · Cited by 125 · see citing works
The role of dopamine in human addiction: From reward to motivated attention
Franken, I. H. A., Booij, J., & van den Brink, W. (2005) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2005.09.025 · Cited by 122 · see citing works
Understanding sentences and scenes: The role of conceptual short-term memory.
Potter, M. C. (1999) · Cited by 105 · see citing works
Contingent attentional capture by conceptually relevant images.
Wyble, B., Folk, C. L., & Potter, M. C. (2012) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0030517 · Cited by 102 · see citing works
Hickey, C., Chelazzi, L., & Theeuwes, J. (2011) · Visual Cognition · doi:10.1080/13506285.2010.503946 · Cited by 89 · see citing works
Self-citationFace Adaptation without a Face
Ghuman, A. S., McDaniel, J. R., & Martin, A. D. (2009) · Current Biology · doi:10.1016/j.cub.2009.10.077 · Cited by 87 · see citing works
A revised design for an understanding machine.
Quillian, M. R. (1962) · Mech. Transl. Comput. Linguistics · Cited by 82 · see citing works
The contents of the search template for category-level search in natural scenes
Reeder, R., & Peelen, M. V. (2013) · Journal of Vision · doi:10.1167/13.3.13 · Cited by 62 · see citing works
Self-citationReward-associated stimuli capture the eyes in spite of strategic attentional set
Hickey, C., & van Zoest, W. (2013) · Vision Research · doi:10.1016/j.visres.2013.09.008 · Cited by 58 · see citing works
Self-citationA face inversion effect without a face
Brandman, T., & Yovel, G. (2012) · Cognition · doi:10.1016/j.cognition.2012.08.001 · Cited by 36 · see citing works
Facial age after-effects show partial identity invariance and transfer from hands to faces
Lai, M., Oruç, İ., & Barton, J. J. S. (2010) · Cortex · doi:10.1016/j.cortex.2010.11.014 · Cited by 33 · see citing works
A face inversion effect without a face
Brandman, T., & Yovel, G. (2012) · Journal of Vision · doi:10.1167/12.9.631 · Cited by 27 · see citing works
Reward Sharpens Orientation Coding Independently of Attention
Baldassi, S., & Simoncini, C. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00013 · Cited by 27 · see citing works
Facial age after-effects show partial identity invariance and transfer from hands to faces
Lai, M., Oruç, İ., & Barton, J. J. S. (2011) · Journal of Vision · doi:10.1167/11.11.584 · Cited by 4 · see citing works
Flagged first, then by citations
1 of the 47 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- [13]13. Hickey, C., Chelazzi, L., & Theeuwes, J. (2010a). Reward guides attention via anterior cingulate cortex. Journal of Neuroscience, 30(33), 11096 -11106.
- [36]36. Toates, F. (1986). Motivational Systems, Cambridge Univ. Press, Cambridge, 1986.
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Dewis, H., Metcalf, C., Warner, M. B., Polfreman, R., & Godwin, H. J. (2026) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218261436006 · Cited by 1 · see citing works
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Wu, W. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192866899.003.0008 · Cited by 1 · see citing works
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Tam, K. Y. Y., van Tilburg, W. A. P., Chan, C. S., & Inzlicht, M. (2024) · doi:10.31234/osf.io/f5t9u · Cited by 1 · see citing works
The manifold role of reward value on visual attention
Roper, Z. J. J., Vaidya, J. G., Vecera, S. P., Wasserman, E. A., Hazeltine, E., & Voss, M. (2015) · doi:10.17077/etd.5qy3qyg9
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许, 珍. (2019) · Advances in Psychology · doi:10.12677/ap.2019.93049
Towards a model of human body perception
Gandolfo, M. (2020) · Radboud Repository (Radboud University)
Bosch, M. D. P. B. (2018) · doi:10.31979/etd.8q6h-9w47
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Wu, W. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192866899.003.0006
Wu, W. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192866899.003.0001
Wu, W. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192866899.003.0007
Wu, W. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192866899.003.0004
Wu, W. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192866899.003.0003
Wu, W. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192866899.003.0002
Wu, W. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192866899.002.0003
Intending as Practical Remembering
Wu, W. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192866899.003.0005
Wu, W. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780192866899.003.0009
Dyce, G., Singh, T., Mattingley, J. B., & Arabzadeh, E. (2024) · eLife · doi:10.21203/rs.3.rs-4368226/v1 · Cited by 1 · see citing works
Prior Scene Context Shapes the Neural Dynamics of Face DetectionPreprint
Tasliyurt-Celebi, S., KAISER, D. H., & Dobs, K. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.27.701765
Self-citationDyce, G., Singh, T., Mattingley, J. B., & Arabzadeh, E. (2026) · Research Square · doi:10.21203/rs.3.rs-4368226/v2
Dyce, G., Singh, T., Mattingley, J. B., & Arabzadeh, E. (2026) · Research Square · doi:10.21203/rs.3.rs-4368226/v3
Reward Prediction Error Selectively Modulates Motoric Associative Learning at the Item LevelPreprint
Du, R., Granjon, L., & Waszak, F. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6983029
- Authors
- Hickey, C., Kaiser, D., & Peelen, M. V.
- Affiliations
- University of Trento (IT)
- Venue
- Journal of Experimental Psychology: General
- Published
- 2015
- Volume
- 144
- Issue
- 2
- Pages
- 264-273
- ISSN
- 0096-3445 (ISSN-L)
- 1939-2222
- OpenAlex
- W2095020810
- Cited by
- 91
- References
- 47
- Citations by year
- 2026: 6 · 2025: 2 · 2024: 7 · 2023: 17 · 2022: 4 · 2021: 5 · 2020: 8 · 2019: 7 · 2018: 9 · 2017: 14 · 2016: 7 · 2015: 4 · 2014: 1
- FWCI
- 6.81
- Type
- journal article
- Language
- en
- Open access
- green
- orcid.org
- Locations
- Journal of Experimental Psychology General (publishedVersion)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (submittedVersion)
- Iris (University of Trento) (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Funders
- Netherlands Organization for Scientific Research (NWO) (016–125-283)
- Autonomous Province of Trento
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- reward, attention, object categories, visual saliency, visual search, real-world scenes, face perception
- MeSH terms
- Adult, Attention, Concept Formation, Female, Humans, Male, Pattern Recognition, Visual, Reward, Young Adult
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.
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