Effects of subjective similarity and culture on ensemble perception of faces

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Effects of subjective similarity and culture on ensemble perception of faces Shenli Peng 1

&

Chang Hong Liu 2 & Ping Hu 3

Accepted: 1 September 2020 # The Psychonomic Society, Inc. 2020

Abstract It is well established that ensemble coding is regulated by physical similarity and variance in a set of stimuli. For example, observers are more accurate at judging the mean size of objects in a set if the overall size variance in the set is small. However, sometimes similarity among set members can be purely subjective. For example, faces from another race tend to look more similar than faces from one’s own race. Very little is known about whether such subjective similarity also regulates ensemble coding in the same manner as objective similarity. To investigate this question, we had British and Chinese participants view sets of four faces that were of either own-race or other-race, own-gender or other-gender. After viewing each set the task was to judge whether a test face was presented in the set. Our results showed that, as demonstrated in prior research, participants often mistook a morphed set average to be a member of the set. Critically, this tendency to average a face set was not stronger for other-race faces. Hence contrary to objective similarity, subjectively perceived similarity in the other-race faces does not facilitate ensemble coding. The results in our British group also replicated de Fockert and Gautrey’s (Psychonomic Bulletin & Review 20 (3), 468473, 2013) own-gender effect, where observers showed more averaging for own-gender faces. However, our Chinese subjects displayed the same level of averaging for both genders. This suggests a cultural difference in ensemble coding, where the owngender bias may be overridden by a stronger tendency to employ ensemble coding in Chinese participants. Keywords Ensemble coding . Subjective similarity . In-group vs. out-group faces . Cultural difference

Introduction People are good at rapidly extracting statistical properties such as a set average and variance from an array of stimulus ensemble. This ability, known as ensemble coding, has been demonstrated with a variety of stimuli ranging from simple geometric shapes (Ariely, 2001) and colors (Maule & Franklin, 2015) to complex stimuli such as faces (Haberman & Whitney, 2007; de Fockert & Wolfenstein, 2009) in both adults and children (Rhodes

Shenli Peng and Chang Hong Liu contributed equally to this work. * Ping Hu [email protected] 1

College of Education, Hunan Agricultural University, Changsha, China

2

Department of Psychology, Bournemouth University, Poole, UK

3

Department of Psychology, Renmin University of China, Zhongguancun Street, Haidian District, Beijing 100872, People’s Republic of China

et al., 2018), and people influenced by different cultures (Li et al., 2016). Research suggests that ensemble coding of a set average is modulated by the physical similarity among its set members (Corbett, Wurnitsch, Schwartz, & Whitney, 2012; Michael, De Gardelle, & Summerfield, 2014; Maule & Franklin, 2015; S