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印象形成的组织原则。

The organizational principles of impression formation.

机构信息

Department of Psychology, Royal Holloway, University of London, Egham TW20 0EX, UK.

出版信息

Cognition. 2023 Oct;239:105550. doi: 10.1016/j.cognition.2023.105550. Epub 2023 Jul 26.

Abstract

Trait impressions about others are a fundamental tool to navigate the rich social environment and yet a unitary model of its organizational principles is still lacking. The statistical properties of impression formation observed in previous studies are akin to processes that govern information encoding and storage in memory, suggesting similar cognitive and computational mechanisms. Here, in 2,780 participants, impression formation has been formalized with a computational model representing three organizational principles of memory (temporal, semantic and valence-related). The model specifically captured two main patterns of impression formation: (1) a negative valence effect that makes negative impressions loom longer than positive ones; (2) an interaction effect between the temporal and valence content that endorses more negative impressions when negative information is met first. This work shows that mechanisms of information encoding, storage and retrieval interact in ways that explain biased impression formation about social partners, thereby providing quantitative evidence for those mechanisms in individuals' impressions of others' social qualities. We discuss the implications of these results for social impressions in different, real-world contexts, and suggest how the proposed model might be extended to capture other kinds of effects, from negativity bias and pessimism to social discrimination.

摘要

对他人的特质印象是一种在丰富的社会环境中进行导航的基本工具,但仍然缺乏对其组织原则的单一模型。之前研究中观察到的印象形成的统计特性类似于控制信息在记忆中编码和存储的过程,这表明存在类似的认知和计算机制。在这里,在 2780 名参与者中,使用代表记忆的三个组织原则(时间、语义和与效价相关)的计算模型来形式化印象形成。该模型具体捕捉到了两种主要的印象形成模式:(1)负效价效应,使得负性印象比正性印象持续时间更长;(2)时间和效价内容之间的相互作用效应,当首先遇到负性信息时,会产生更多的负性印象。这项工作表明,信息编码、存储和检索的机制以解释对社会伙伴的有偏差的印象形成的方式相互作用,从而为个体对他人社会特质的印象中的这些机制提供了定量证据。我们讨论了这些结果对不同现实世界情境中的社会印象的影响,并提出了如何扩展所提出的模型以捕捉其他类型的效应,从负面偏差和悲观主义到社会歧视。

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