The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Visual search in scenes involves selective and nonselective pathways
Open accessAbstract
How do we find objects in scenes? For decades, visual search models have been built on experiments in which observers search for targets, presented among distractor items, isolated and randomly arranged on blank backgrounds. Are these models relevant to search in continuous scenes? This paper argues that the mechanisms that govern artificial, laboratory search tasks do play a role in visual search in scenes. However, scene-based information is used to guide search in ways that had no place in earlier models. Search in scenes may be best explained by a dual-path model: A “selective” path in which candidate objects must be individually selected for recognition and a “non-selective” path in which information can be extracted from global / statistical information.
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Cites
What attributes guide the deployment of visual attention and how do they do it?
Wolfe, J. M., & Horowitz, T. S. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1411 · Cited by 1,766
Self-citationBar, M. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1476 · Cited by 1,613
The role of attention in the programming of saccades
Kowler, E., Anderson, E., Dosher, B., & Blaser, E. (1995) · Vision Research · doi:10.1016/0042-6989(94)00279-u · Cited by 1,302
A neural basis for visual search in inferior temporal cortex
Chelazzi, L., Miller, E. K., Duncan, J., & Desimone, R. (1993) · Nature · doi:10.1038/363345a0 · Cited by 1,114
Preattentive Object Files: Shapeless Bundles of Basic Features
WOLFE, J. M., & BENNETT, S. C. (1997) · Vision Research · doi:10.1016/s0042-6989(96)00111-3 · Cited by 349
Self-citationPerception 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
Self-citation
Cited by
Guided Search 6.0: an updated model of visual search
Wolfe, J. M. (2021) · Psychonomic Bulletin & Review · doi:10.3758/s13423-020-01859-9 · Cited by 703
Self-citationWhat is the Bandwidth of Perceptual Experience?
Cohen, M. A., Dennett, D. C., & Kanwisher, N. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.03.006 · Cited by 419
From Behavior to Neural Dynamics: An Integrated Theory of Attention
Buschman, T. J., & Kastner, S. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.017 · Cited by 367
Perceptual expertise in forensic facial image comparison
White, D., Phillips, P. J., Hahn, C. A., Hill, M., & O'Toole, A. J. (2015) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2015.1292 · Cited by 121
Reward guides attention to object categories in real-world scenes.
Hickey, C., Kaiser, D., & Peelen, M. V. (2015) · Journal of Experimental Psychology: General · doi:10.1037/a0038627 · Cited by 91
Metadata
- Authors
- Wolfe, J. M., Võ, M. L.-H., Evans, K. K., & Greene, M. R.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2011-02
- Volume
- 15
- Issue
- 2
- Pages
- 77-84
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W1987129656
- Cited by
- 515
- References
- 6
- FWCI
- 1.91
- Type
- journal article
- Language
- en
- Open access
- green
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