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Self-prioritization and perceptual matching: The effects of temporal construal

机译:自我优先级和感知匹配:时间构建的影响

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Recent research has revealed that self-referential processing enhances perceptual judgments - the so-called self-prioritization effect. The extent and origin of this effect remains unknown, however. Noting the multifaceted nature of the self, here we hypothesized that temporal influences on self-construal (i.e., past/future-self continuity) may serve as an important determinant of stimulus prioritization. Specifically, as representations of the self increase in abstraction as a function of temporal distance (i.e., distance from now), self-prioritization may only emerge when stimuli are associated with the current self. The results of three experiments supported this prediction. Self-relevance only enhanced performance in a standard perceptual-matching task when stimuli (i.e., geometric shapes) were connected with the current self; representations of the self in the future (Expts. 1 & 2) and past (Expt. 3) failed to facilitate decision making. To identify the processes underlying task performance, data were interrogated using a hierarchical drift diffusion model (HDDM) approach. Results of these analyses revealed that self-prioritization was underpinned by a stimulus bias (i.e., rate of information uptake). Collectively, these findings elucidate when and how self-relevance influences decisional processing.
机译:最近的研究表明,自我参考处理提高了感知判断 - 所谓的自我优先级效应。然而,这种效果的程度和起源仍然是未知的。注意到自我的多方面性质,我们假设对自我混凝(即过去/未来自我连续性)的时间影响可以作为刺激优先级排序的重要决定因素。具体地,作为抽象中自增加的表示作为时间距离的函数(即,从现在的距离),当刺激与当前自行相关时,只能出现自我优先化。三个实验的结果支持这一预测。自相关性仅在刺激(即几何形状)与当前自我连接时的标准感知匹配任务中的性能增强;未来的自我的代表(EXPTS。1和2)和过去(EXPT。3)未能促进决策。要识别任务性能的过程,使用分层漂移扩散模型(HDDM)方法询问数据。这些分析的结果显示,通过刺激偏差(即,信息摄取率)是基础的自我优先级。集体,这些调查结果阐明了何时以及自相关性如何影响决策处理。

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