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Contextualizing person perception: Distributed social cognition.

Authors: Eliot R. Smith; Elizabeth C. Collins;

Contextualizing person perception: Distributed social cognition.

Abstract

Research on person perception typically emphasizes cognitive processes of information selection and interpretation within the individual perceiver and the nature of the resulting mental representations. The authors focus instead on the ways person perception processes create, and are influenced by, the patterns of impressions that are socially constructed, transmitted, and filtered through social networks. As the socially situated cognition perspective (E. R. Smith & G. R. Semin, 2004) suggests, it is necessary to supplement consideration of intra-individual cognitive processes with an examination of the social context. The authors describe a theoretical model of processes of distributed social cognition that takes account of 3 levels: the individual perceiver, the interacting dyad, and the social network in which they are embedded. The authors' model assumes that perceivers elicit or create as well as interpret impression-relevant information in dyadic interaction and that perceivers obtain information from 3rd-party sources who are linked to perceivers and targets in social networks. The authors also present results of a multiagent simulation of a subset of these processes. Implications of the theoretical model are discussed, for the possibility of correcting biases in person perception and for the nature of underlying mental representations of persons.

Related Organizations
Keywords

Cognition, Social Perception, Humans, Interpersonal Relations, Models, Psychological, Social Behavior

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
98
Top 10%
Top 10%
Top 10%
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