2009
DOI: 10.1080/17470210902811249
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Short article: Rapid extraction of mean identity from sets of faces

Abstract: Recent evidence suggests that the notion that the visual system can rapidly extract summary statistics from complex scenes extends to representing sets of faces in terms of mean emotion or gender. Here we show that observers can also extract a mean identity from a set of faces with different identities. Observers first saw a set of four faces with different identities and were subsequently asked whether or not a single test face had been present in the preceding set. They were significantly more likely to resp… Show more

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Cited by 171 publications
(247 citation statements)
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“…Visual averaging has also been shown for images of human faces. When presented with sets of multiple faces differing in identity (De Fockert & Wolfenstein, 2009;Haberman & Whitney, 2009) or emotional expression (Haberman & Whitney, 2007) and asked subsequently to judge whether a single test face had been part of the previously seen set, people mistakenly choose a morphed average of all seen faces more often than they choose an actual set member. The finding that items resembling the average of multiple seen items are likely to be endorsed as set members suggests that the visual system can efficiently represent large amounts of visual information by extracting certain summary statistics from sets of similar items.…”
Section: Introductionmentioning
confidence: 99%
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“…Visual averaging has also been shown for images of human faces. When presented with sets of multiple faces differing in identity (De Fockert & Wolfenstein, 2009;Haberman & Whitney, 2009) or emotional expression (Haberman & Whitney, 2007) and asked subsequently to judge whether a single test face had been part of the previously seen set, people mistakenly choose a morphed average of all seen faces more often than they choose an actual set member. The finding that items resembling the average of multiple seen items are likely to be endorsed as set members suggests that the visual system can efficiently represent large amounts of visual information by extracting certain summary statistics from sets of similar items.…”
Section: Introductionmentioning
confidence: 99%
“…Male and female participants viewed sets of four male or female faces before being asked whether a single test face had been present in the preceding set (as in De Fockert & Wolfenstein, 2009). Test faces could be either a photograph of a real person or a morphed average of the photographs of four people, and the measure of interest was participants' tendency to incorrectly endorse the morphed average as a member of the set.…”
Section: Introductionmentioning
confidence: 99%
“…Effect of vertical stretching on the extraction of mean identity from faces: page Observers can extract the mean identity from a set of faces and falsely recognise it as a genuine set member (de Fockert & Wolfenstein, 2009). The current experiment demonstrated that this "perceptual averaging" also occurs with vertically stretched faces.…”
Section: Copyright and Reusementioning
confidence: 99%
“…Haberman and Whitney (2007, 2012a showed that participants were able to accurately extract the mean emotion from a set of expressive faces, without being able to identify any of the individual faces. De Fockert (de Fockert & Wolfenstein 2009;de Fockert & Gautrey 2013) demonstrated perceptual averaging for facial identity: after viewing sets of four faces, participants tended to made a greater proportion of "present" (i.e. previously seen) responses for morphs of the sets than they did for genuine set members.…”
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confidence: 99%
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