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跨认知领域的自我偏倚测量比较。

A comparison of self-bias measures across cognitive domains.

机构信息

Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.

EXPLORA, Ghent University, Ghent, Belgium.

出版信息

BMC Psychol. 2021 Sep 3;9(1):132. doi: 10.1186/s40359-021-00639-x.

Abstract

BACKGROUND

The 'self-bias'-i.e., the human proneness to preferentially process self-relevant stimuli-is thought to be important for both self-related and social processing. Previous research operationalized the self-bias using different paradigms, assessing the size of the self-bias within a single cognitive domain. Recent studies suggested a reduced self-bias in autism, yet findings are inconsistent. The lack of consensus across existing studies may result from variation in paradigms and cognitive domains tested. Therefore, the primary goal of the current study was to investigate whether self-biases found across cognitive domains (i.e., perception, memory, attention) are related or independent. The secondary goal was to explore the relationship between these self-biases and the extent of autistic traits in a neurotypical sample.

METHODS

In an online procedure, 99 Dutch-speaking adults performed three self-processing tasks in counterbalanced order-i.e., the shape-label matching task (perception), the trait adjectives task (memory) and the visual search task (attention)-and completed two self-report measures of ASD symptomatology, i.e., AQ-10 and SRS-A. To control for level of familiarity, self-, close other- and famous other-relevant stimuli were included in each task. Repeated measures ANOVAs were conducted for each task, and both frequentist as well as Bayesian analyses were applied to investigate the correlational patterns between self-bias measures.

RESULTS

We observed significant correlations of the self-bias magnitude between memory and attention, as well as attention and perception. However, Bayesian analysis provided only weak support for the latter association. Further, the size of the self-bias was not significantly related across memory and perception. No significant correlation between autistic traits and the self-bias magnitude was found for any of the three tasks, with Bayesian analyses strongly favoring the null hypothesis.

CONCLUSIONS

In contrast with the view of a 'unidimensional' self-bias, our findings provide evidence for a heterogeneous and multifaceted self consisting of a variety of related and unrelated aspects. None of the self-bias indices were found to relate to autistic traits in our neurotypical sample.

摘要

背景

“自我偏向”——即人类倾向于优先处理与自我相关的刺激——被认为对自我相关和社会处理都很重要。先前的研究使用不同的范式来操作自我偏向,评估单一认知领域内自我偏向的大小。最近的研究表明自闭症患者的自我偏向程度降低,但研究结果不一致。现有研究缺乏共识可能是由于测试的范式和认知领域的差异造成的。因此,本研究的主要目的是调查跨认知领域(即感知、记忆、注意)发现的自我偏向是否相关或独立。次要目标是探索这些自我偏向与神经典型样本中自闭症特征程度之间的关系。

方法

在在线程序中,99 名荷兰语使用者以平衡的顺序完成了三个自我处理任务,即形状-标签匹配任务(感知)、特质形容词任务(记忆)和视觉搜索任务(注意),并完成了两个自闭症谱系障碍症状的自我报告测量,即 AQ-10 和 SRS-A。为了控制熟悉程度,每个任务都包括自我、亲近他人和名人相关的刺激。对每个任务进行重复测量方差分析,并应用频率论和贝叶斯分析来研究自我偏向测量之间的相关模式。

结果

我们观察到记忆和注意之间以及注意和感知之间自我偏向幅度的显著相关性。然而,贝叶斯分析仅为后者提供了微弱的支持。此外,记忆和感知之间自我偏向的大小没有显著相关。在三个任务中,自闭症特征与自我偏向幅度之间均未发现显著相关性,贝叶斯分析强烈支持零假设。

结论

与“单一维度”自我偏向的观点相反,我们的研究结果为自我偏向提供了证据,表明自我由多种相关和不相关的方面组成,是一个异质和多方面的自我。在我们的神经典型样本中,没有发现任何自我偏向指标与自闭症特征有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30d8/8414869/de6905cfced5/40359_2021_639_Fig1_HTML.jpg

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