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The Things You Do: Internal Models of Others’ Expected Behaviour Guide Action Observation

Predictions allow humans to manage uncertainties within social interactions. Here, we investigate how explicit and implicit person models–how different people behave in different situations–shape these predictions. In a novel action identification task, participants judged whether actors interacted...

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Detalles Bibliográficos
Autores principales: Schenke, Kimberley C., Wyer, Natalie A., Bach, Patric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951130/
https://www.ncbi.nlm.nih.gov/pubmed/27434265
http://dx.doi.org/10.1371/journal.pone.0158910
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author Schenke, Kimberley C.
Wyer, Natalie A.
Bach, Patric
author_facet Schenke, Kimberley C.
Wyer, Natalie A.
Bach, Patric
author_sort Schenke, Kimberley C.
collection PubMed
description Predictions allow humans to manage uncertainties within social interactions. Here, we investigate how explicit and implicit person models–how different people behave in different situations–shape these predictions. In a novel action identification task, participants judged whether actors interacted with or withdrew from objects. In two experiments, we manipulated, unbeknownst to participants, the two actors action likelihoods across situations, such that one actor typically interacted with one object and withdrew from the other, while the other actor showed the opposite behaviour. In Experiment 2, participants additionally received explicit information about the two individuals that either matched or mismatched their actual behaviours. The data revealed direct but dissociable effects of both kinds of person information on action identification. Implicit action likelihoods affected response times, speeding up the identification of typical relative to atypical actions, irrespective of the explicit knowledge about the individual’s behaviour. Explicit person knowledge, in contrast, affected error rates, causing participants to respond according to expectations instead of observed behaviour, even when they were aware that the explicit information might not be valid. Together, the data show that internal models of others’ behaviour are routinely re-activated during action observation. They provide first evidence of a person-specific social anticipation system, which predicts forthcoming actions from both explicit information and an individuals’ prior behaviour in a situation. These data link action observation to recent models of predictive coding in the non-social domain where similar dissociations between implicit effects on stimulus identification and explicit behavioural wagers have been reported.
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spelling pubmed-49511302016-08-08 The Things You Do: Internal Models of Others’ Expected Behaviour Guide Action Observation Schenke, Kimberley C. Wyer, Natalie A. Bach, Patric PLoS One Research Article Predictions allow humans to manage uncertainties within social interactions. Here, we investigate how explicit and implicit person models–how different people behave in different situations–shape these predictions. In a novel action identification task, participants judged whether actors interacted with or withdrew from objects. In two experiments, we manipulated, unbeknownst to participants, the two actors action likelihoods across situations, such that one actor typically interacted with one object and withdrew from the other, while the other actor showed the opposite behaviour. In Experiment 2, participants additionally received explicit information about the two individuals that either matched or mismatched their actual behaviours. The data revealed direct but dissociable effects of both kinds of person information on action identification. Implicit action likelihoods affected response times, speeding up the identification of typical relative to atypical actions, irrespective of the explicit knowledge about the individual’s behaviour. Explicit person knowledge, in contrast, affected error rates, causing participants to respond according to expectations instead of observed behaviour, even when they were aware that the explicit information might not be valid. Together, the data show that internal models of others’ behaviour are routinely re-activated during action observation. They provide first evidence of a person-specific social anticipation system, which predicts forthcoming actions from both explicit information and an individuals’ prior behaviour in a situation. These data link action observation to recent models of predictive coding in the non-social domain where similar dissociations between implicit effects on stimulus identification and explicit behavioural wagers have been reported. Public Library of Science 2016-07-19 /pmc/articles/PMC4951130/ /pubmed/27434265 http://dx.doi.org/10.1371/journal.pone.0158910 Text en © 2016 Schenke et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Schenke, Kimberley C.
Wyer, Natalie A.
Bach, Patric
The Things You Do: Internal Models of Others’ Expected Behaviour Guide Action Observation
title The Things You Do: Internal Models of Others’ Expected Behaviour Guide Action Observation
title_full The Things You Do: Internal Models of Others’ Expected Behaviour Guide Action Observation
title_fullStr The Things You Do: Internal Models of Others’ Expected Behaviour Guide Action Observation
title_full_unstemmed The Things You Do: Internal Models of Others’ Expected Behaviour Guide Action Observation
title_short The Things You Do: Internal Models of Others’ Expected Behaviour Guide Action Observation
title_sort things you do: internal models of others’ expected behaviour guide action observation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951130/
https://www.ncbi.nlm.nih.gov/pubmed/27434265
http://dx.doi.org/10.1371/journal.pone.0158910
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