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. 2007 Sep 4;17(17):R751-3.
doi: 10.1016/j.cub.2007.06.039.

Rapid extraction of mean emotion and gender from sets of faces

Jason Haberman  1 , David Whitney
Affiliations

Rapid extraction of mean emotion and gender from sets of faces

Jason Haberman et al. Curr Biol. .
No abstract available

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Figures

Figure 1
Figure 1. Sample trials and results for the three experiments
(A,B) To discriminate whether a test face was happier or sadder than a previously viewed set of homogeneous faces with 75% accuracy, the test face had to be 3–4 units happier or sadder than the set (experiment 1). The test face in (A) is 6 units happier than the set. (C,D) Observers were at chance when indicating which of two test faces was a member of the preceding heterogeneous set (experiment 2), suggesting that they had not retained any information about the set’s individual identities. The target in (C) is the top face. (E,F) Observers indicated whether the test face was happier or sadder than the mean emotion of the preceding set (experiment 3). Despite lacking a representation of the individual set members (D), observers had a remarkably precise representation of the mean emotion of that set. Their 75% correct discrimination of the mean emotion of the set was almost as precise as their ability to discriminate two faces that displayed different emotions (compare B and F). The test face in (E) is 4 units sadder than the mean emotion of the set. Error bars in (B and F) indicate 95% confidence intervals based on 5000 Monte Carlo simulations [11], and error bars in (D) are ± 1 SEM.
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