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过度分布错觉:分类判断会产生这种错觉,信心评级则会减少这种错觉。

Overdistribution illusions: Categorical judgments produce them, confidence ratings reduce them.

作者信息

Brainerd C J, Nakamura K, Reyna V F, Holliday R E

机构信息

Institute of Human Neuroscience, Cornell University.

Department of Psychology, University of Leicester.

出版信息

J Exp Psychol Gen. 2017 Jan;146(1):20-40. doi: 10.1037/xge0000242.

Abstract

Overdistribution is a form of memory distortion in which an event is remembered as belonging to too many episodic states, states that are logically or empirically incompatible with each other. We investigated a response formatting method of suppressing 2 basic types of overdistribution, disjunction and conjunction illusions, which parallel some classic illusions in the judgment and decision making literature. In this method, subjects respond to memory probes by rating their confidence that test cues belong to specific episodic states (e.g., presented on List 1, presented on List 2), rather than by making the usual categorical judgments about those states. The central prediction, which was derived from the task calibration principle of fuzzy-trace theory, was that confidence ratings should reduce overdistribution by diminishing subjects' reliance on noncompensatory gist memories. The data of 3 experiments agreed with that prediction. In Experiment 1, there were reliable disjunction illusions with categorical judgments but not with confidence ratings. In Experiment 2, both response formats produced reliable disjunction illusions, but those for confidence ratings were much smaller than those for categorical judgments. In Experiment 3, there were reliable conjunction illusions with categorical judgments but not with confidence ratings. Apropos of recent controversies over confidence-accuracy correlations in memory, such correlations were positive for hits, negative for correct rejections, and the 2 types of correlations were of equal magnitude. (PsycINFO Database Record

摘要

过度分布是记忆扭曲的一种形式,在这种形式中,一个事件被记为属于太多的情景状态,而这些状态在逻辑上或经验上是相互矛盾的。我们研究了一种抑制两种基本类型过度分布(析取和合取错觉)的反应格式化方法,这两种错觉与判断和决策文献中的一些经典错觉相似。在这种方法中,受试者通过对测试线索属于特定情景状态(例如,出现在列表1上、出现在列表2上)的信心进行评分来回应记忆探测,而不是对这些状态进行通常的分类判断。核心预测源自模糊痕迹理论的任务校准原则,即信心评分应通过减少受试者对非补偿性要点记忆的依赖来减少过度分布。3个实验的数据与该预测一致。在实验1中,分类判断存在可靠的析取错觉,而信心评分则不存在。在实验2中,两种反应格式都产生了可靠的析取错觉,但信心评分的错觉比分类判断的错觉小得多。在实验3中,分类判断存在可靠的合取错觉,而信心评分则不存在。关于近期记忆中信心-准确性相关性的争议,命中的相关性为正,正确拒绝的相关性为负,且两种相关性大小相等。(PsycINFO数据库记录)

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