The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Faces and Facial Expressions do not Pop Out
Abstract
Subjects were asked to detect faces or facial expressions from patterns with a variable number of nonfaces or faces expressing different emotions. In most tests, reaction time was found to increase steeply with sample size, thus indicating serial-search characteristics for the patterns tested. There were, however, considerable differences in the slopes of the graphs (search time versus sample size), which could be attributed to visual (but not face) cues that are discriminated at similar speeds. Slopes did not change when patterns were presented upside down, although such a modification strongly affects the perception of faces and facial expressions.
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Cites
Shiffrin, R. M., & Schneider, W. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.127 · Cited by 7,335
Textons, the elements of texture perception, and their interactions
Julesz, B. (1981) · Nature · doi:10.1038/290091a0 · Cited by 1,703
Cited by
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Singer, W. (1999) · Neuron · doi:10.1016/s0896-6273(00)80821-1 · Cited by 2,581
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
The face in the crowd revisited: A threat advantage with schematic stimuli.
Öhman, A., Lundqvist, D., & Esteves, F. (2001) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.80.3.381 · Cited by 1,366
Shadlen, M. N., & Movshon, J. A. (1999) · Neuron · doi:10.1016/s0896-6273(00)80822-3 · Cited by 606
Representing multiple objects as an ensemble enhances visual cognition
Alvarez, G. A. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.01.003 · Cited by 586
Metadata
- Authors
- Nothdurft, H.-C.
- Venue
- Perception
- Publisher
- SAGE Publications
- Published
- 1993-11
- Volume
- 22
- Issue
- 11
- Pages
- 1287-1298
- ISSN
- 0301-0066 (ISSN-L)
- 1468-4233
- OpenAlex
- W2020447515
- Cited by
- 176
- References
- 2
- FWCI
- 0.20
- Type
- journal article
- Language
- en
- Open access
- closed
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
