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你所做之事:他人预期行为的内部模型引导行动观察。

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

作者信息

Schenke Kimberley C, Wyer Natalie A, Bach Patric

机构信息

School of Psychology, Plymouth University, Drake Circus, Plymouth, Devon, United Kingdom.

出版信息

PLoS One. 2016 Jul 19;11(7):e0158910. doi: 10.1371/journal.pone.0158910. eCollection 2016.

Abstract

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.

摘要

预测使人类能够应对社交互动中的不确定性。在此,我们研究明确的和隐含的人物模型——不同的人在不同情境下的行为方式——如何塑造这些预测。在一项新颖的动作识别任务中,参与者判断演员是与物体互动还是远离物体。在两个实验中,我们在参与者不知情的情况下操纵了两个演员在不同情境下的动作可能性,使得一个演员通常与一个物体互动并远离另一个物体,而另一个演员表现出相反的行为。在实验2中,参与者还收到了关于这两个人的明确信息,这些信息要么与他们的实际行为相符,要么不符。数据揭示了这两种人物信息对动作识别都有直接但可分离的影响。隐含的动作可能性影响反应时间,相对于非典型动作,加快了对典型动作的识别,而不管关于个体行为的明确知识如何。相比之下,明确的人物知识影响错误率,导致参与者根据预期而非观察到的行为做出反应,即使他们意识到明确信息可能无效。总体而言,数据表明在动作观察过程中,他人行为的内部模型会经常被重新激活。它们提供了第一个关于特定人物社会预期系统的证据,该系统根据明确信息和个体在某种情境下的先前行为来预测即将发生的动作。这些数据将动作观察与非社会领域中最近的预测编码模型联系起来,在该领域中,已经报道了在刺激识别的隐含效应和明确行为投注之间存在类似的分离。

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