Ensemble coding: Difference between revisions

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In recent years, ensemble coding in the field of [[social vision]] has emerged. Social vision is a field of research that examines how people perceive one another. With the addition of ensemble coding, the field is able to explore people perception, or how people perceive groups of other people. This specific research area focuses on how observers accurately perceive and extract social information from groups and how that influences downstream judgments and behaviors <ref name=":4">{{Cite journal|last=Goodale|first=Brianna M.|last2=Alt|first2=Nicholas P.|last3=Lick|first3=David J.|last4=Johnson|first4=Kerri L.|date=2018-11|title=Groups at a glance: Perceivers infer social belonging in a group based on perceptual summaries of sex ratio.|url=http://doi.apa.org/getdoi.cfm?doi=10.1037/xge0000450|journal=Journal of Experimental Psychology: General|language=en|volume=147|issue=11|pages=1660–1676|doi=10.1037/xge0000450|issn=1939-2222}}</ref>. In 2018, seminal research combining ensemble coding and social vision was conducted by Briana Goodale. This research examined that humans can accurately extract sex ratio summaries from ensembles of faces and how this sex ratio provides an early visual cue signaling sense of belonging and fit within group <ref name=":4" />.
 
Additional research has discovered that in as little as 75 milliseconds, participants are able to derive the average sex ratio of an ensemble of faces <ref name=":5" />. Furthermore, within that 75 milliseconds, participants formed impressions based on the perceived sex ratio and made inferences ofabout the groups perceived threat <ref name=":5" />. Specifically this research found that groups were judged as more threatening as the ratio of men to women increased <ref name=":5" />.
 
== References ==