The average facial expression of a crowd influences impressions of individual expressions

Sarah Griffiths, Gillian Rhodes, Linda Jeffery, Romina Palermo, Markus Neumann

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)
237 Downloads (Pure)

Abstract

People can accurately assess the “mood of a crowd” by rapidly extracting the average intensity of all the individual expressions, when the crowd consists of a set of faces comprising different expressions of the same individual. Here, we investigate the processes involved when people judge the expression intensity of individual faces that appear in the context of a more naturalistic crowd of different individuals’ faces. We show that judgments of the intensity of happy and angry expressions for individual faces are biased toward the group mean expression intensity, even when the faces are all different individuals. In a second experiment, we demonstrate that this bias is not due to a generic tendency to endorse intermediate intensity expressions more frequently than more extreme intensity expressions. Together, these findings suggest that people integrate ensemble information about the group average expression when they make judgments of individual faces’ expressions. (PsycINFO Database Record (c) 2017 APA, all rights reserved)

Original languageEnglish
Pages (from-to)311-319
Number of pages9
JournalJournal of Experimental Psychology: Human Perception and Performance
Volume44
Issue number2
Early online date29 May 2017
DOIs
Publication statusPublished - 1 Feb 2018

Fingerprint

Dive into the research topics of 'The average facial expression of a crowd influences impressions of individual expressions'. Together they form a unique fingerprint.

Cite this