The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
At first sight: A high-level pop out effect for faces
Open accessAbstract
To determine the nature of face perception, several studies used the visual search paradigm, whereby subjects detect an odd target among distractors. When detection reaction time is set-size independent, the odd element is said to "pop out", reflecting a basic mechanism or map for the relevant feature. A number of previous studies suggested that schematic faces do not pop out. We show that natural face stimuli do pop out among assorted non-face objects. Animal faces, on the other hand, do not pop out from among the same assorted non-face objects. In addition, search for a face among distractors of another object category is easier than the reverse search, and face search is mediated by holistic face characteristics, rather than by face parts. Our results indicate that the association of pop out with elementary features and lower cortical areas may be incorrect. Instead, face search, and indeed all feature search, may reflect high-level activity with generalization over spatial and other property details.
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
The fusiform face area: a module in human extrastriate cortex specialized for face perception
Kanwisher, N., McDermott, J., & Chun, M. M. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-11-04302.1997 · Cited by 7,738
Expertise for cars and birds recruits brain areas involved in face recognition
Gauthier, I., Skudlarski, P., Gore, J. C., & Anderson, A. W. (2000) · Nature Neuroscience · doi:10.1038/72140 · Cited by 1,418
On the perception of shape from shading
Kleffner, D. A., & Ramachandran, V. S. (1992) · Perception & Psychophysics · doi:10.3758/bf03206757 · Cited by 335
Is it an animal? Is it a human face? Fast processing in upright and inverted natural scenes
Rousselet, G. A., Macé, M. J.-M., & Fabre-Thorpe, M. (2003) · Journal of Vision · doi:10.1167/3.6.5 · Cited by 215
Cited by
A taxonomy of external and internal attention.
Chun, M. M., Golomb, J. D., & Turk-Browne, N. B. (2011) · Annual Review of Psychology · doi:10.1146/annurev.psych.093008.100427 · Cited by 1,472
Five factors that guide attention in visual search
Wolfe, J. M., & Horowitz, T. S. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0058 · Cited by 875
Saliency, 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
(2016) · doi:10.3389/fpsyg · Cited by 801
Rapid detection of person information in a naturalistic scene
Fletcher-Watson, S., Findlay, J. M., Leekam, S. R., & Benson, V. (2008) · Perception · doi:10.1068/p5705 · Cited by 283
Metadata
- Authors
- Hershler, O., & Hochstein, S.
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 2005-06
- Volume
- 45
- Issue
- 13
- Pages
- 1707-1724
- ISSN
- 0042-6989 (ISSN-L)
- OpenAlex
- W1971065734
- Cited by
- 296
- References
- 4
- FWCI
- 5.76
- Type
- journal article
- Language
- en
- Open access
- hybrid
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.