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Face recognition assessments that use images of celebrities require not only face recognition ability but also pop-culture knowledge and successful recall of identifying information. Here, we introduce a task designed to measure face recognition more specifically: the Famous Faces Doppelgangers Test (FFDT). Participants (N = 57,407) identified 40 celebrities paired with lookalike doppelgangers, allowing face recognition ability to be assessed without requiring information recall. In addition, participants reported whether they were familiar with each celebrity, allowing poor face recognition ability to be differentiated from low pop-culture knowledge. FFDT performance was reliable (rxx =.80), similar across participants of different racial and ethnic groups, and more highly correlated with memory for faces (r =.50) and self-reported face recognition ability (r =.48) than processing speed ability (r =.10). Thus, the FFDT is a reliable, valid, and specific measure of the ability to identify familiar faces, making it a promising new tool for assessing face recognition ability. [ABSTRACT FROM AUTHOR]

What information is used for familiar face recognition? While previous research suggests a particular importance of the eye region, information from the rest of the face also needs to be integrated. What type of information is used in conjunction with the eyes is largely unclear. In three experiments, participants were asked to recognise so-called face chimeras, in which the eye region was not manipulated, while the rest of the face was either presented in negative contrast (contrast chimeras) or low-pass filtered (blur chimeras). We show (1) that both chimeras are recognised substantially better than fully blurred faces, (2) that the recognition advantage for blur chimeras is specific to the eye region but cannot be explained by cues available in this part of the face alone, and (3) that a combination of negative contrast and blurring outside of the eye region eliminates the chimera advantage. We conclude that full-frequency but distorted surface reflectance cues (in contrast chimeras) or coarse shape information (in blur chimeras) can be used in combination with the eye region for effective face recognition. Our findings further suggest that the face recognition system can flexibly use both types of information, depending on availability. [ABSTRACT FROM AUTHOR]

Spatial frequencies critical for recognition of faces are scale-dependent. Progressively coarser features of the face are utilized at smaller sizes, despite the availability of finer features. Blur removes fine details in an image, disrupting the finer features utilized for recognition at large sizes. At smaller sizes, observers utilize coarser features, and thus, recognition may be less impacted by blur. This coupling between size and critical spatial frequencies allows us to predict a regime in which observers tolerate blur better with decreasing image sizes within a range of moderate face sizes. We tested recognition of famous faces in four conditions: large-intact, small-intact, large-blurry, and small-blurry. Observers showed high recognition performance in both intact conditions. Blur significantly disrupted recognition, yet accuracy was significantly and consistently higher in the small-blurry compared to the large-blurry condition. These results are suggestive of an inherent scale-dependent mechanism that, at certain sizes, negatively impacts recognition of blurry images. [ABSTRACT FROM AUTHOR]

We investigated recognition of familiar and unfamiliar own- and other-race faces across natural variability in appearance. Participants sorted 20 photographs of each of two identities into piles such that each pile contained all photographs of a single identity. The other-race effect was limited to unfamiliar faces. When faces were unfamiliar, participants perceived more identities when sorting other-race faces; when faces were familiar, participants made two piles for both ownand other-race faces. Our work calls for rethinking the concept of the other-race effect. [ABSTRACT FROM AUTHOR]