2018
DOI: 10.1037/xlm0000418
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Interaction between social categories in the composite face paradigm.

Abstract: The composite face paradigm (Young, Hellawell, & Hay, 1987) is widely used to demonstrate holistic perception of faces (Rossion, 2013). In the paradigm, parts from different faces (usually the top and bottom halves) are recombined. The principal criterion for holistic perception is that responses involving the component parts of composites in which the parts are aligned into a face-like configuration are slower and less accurate than responses to the same parts in a misaligned (not face-like) format. This is o… Show more

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Cited by 6 publications
(26 citation statements)
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“…As expected, for the task-relevant gender category, we found a clear composite effect, where judgments about the gender of the top or bottom half of a face were slower when the two halves were aligned than misaligned. However, and as previously noted both by Baudouin and Humphreys (2006) and by Chen et al (2018), this effect was most clearly evident when the gender of the two halves was incongruent (the Gender Congruence x Alignment interaction).…”
Section: Discussionsupporting
confidence: 77%
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“…As expected, for the task-relevant gender category, we found a clear composite effect, where judgments about the gender of the top or bottom half of a face were slower when the two halves were aligned than misaligned. However, and as previously noted both by Baudouin and Humphreys (2006) and by Chen et al (2018), this effect was most clearly evident when the gender of the two halves was incongruent (the Gender Congruence x Alignment interaction).…”
Section: Discussionsupporting
confidence: 77%
“…The task was intended to allow reasonably high accuracy, so that the most important findings involve reaction times. In line with criteria used in our previous study (Chen et al, 2018), reaction times from trials with incorrect responses and outliers of more than 3 SDs were excluded in the calculation of mean RTs in each condition; multivariate tests for normality of the data showed that the RTs were normally distributed. The ANOVA is summarized in Table 1.…”
Section: Resultsmentioning
confidence: 99%
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