The DOI matches its Crossref record.
Configurational Factors in the Perception of Unfamiliar Faces
Open accessAbstract
Young et al (1987) have demonstrated that the juxtaposition of top and bottom halves of different faces produces a powerful impression of a novel face. It is difficult to isolate perceptually either half of the ‘new’ face. Inversion of the stimulus, however, makes this task easier. Upright chimeric faces appear to evoke strong and automatic configurational processing mechanisms which interfere with selective piecemeal processing. In this paper three experiments are described in which a matching paradigm was used to show that Young et al's findings apply to unfamiliar as well as to familiar faces. The results highlight the way in which minor procedural differences may alter the way in which subjects perform face-recognition tasks.
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
Cited by
The many faces of configural processing
Maurer, D., Grand, R. L., & Mondloch, C. J. (2002) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(02)01903-4 · Cited by 2,110
Reversibility of the Other-Race Effect in Face Recognition During Childhood
Sangrigoli, S., Pallier, C., Argenti, A.-M., Ventureyra, V. A. G., & de Schonen, S. (2005) · Psychological Science · doi:10.1111/j.0956-7976.2005.01554.x · Cited by 441
Inversion and processing of component and spatial-relational information in faces.
Searcy, J. H., & Bartlett, J. C. (1996) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037//0096-1523.22.4.904 · Cited by 384
A meta-analysis and review of holistic face processing.
Richler, J. J., & Gauthier, I. (2014) · Psychological Bulletin · doi:10.1037/a0037004 · Cited by 340
Holistic Processing Predicts Face Recognition
Richler, J. J., Cheung, O. S., & Gauthier, I. (2011) · Psychological Science · doi:10.1177/0956797611401753 · Cited by 341
Metadata
- Authors
- Hole, G. J.
- Venue
- Perception
- Publisher
- SAGE Publications
- Published
- 1994-01
- Volume
- 23
- Issue
- 1
- Pages
- 65-74
- ISSN
- 0301-0066 (ISSN-L)
- 1468-4233
- OpenAlex
- W2027389436
- Cited by
- 371
- References
- 0
- FWCI
- 0.63
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Configurational Factors in the Perception of Unfamiliar Faces. https://app.cochat.ai/papers/10.1068/p230065
- The paper
- Hole, G. J. (1994). Configurational Factors in the Perception of Unfamiliar Faces. Perception. https://doi.org/10.1068/p230065
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.