Selective retrieval boosts memory regardless of prior knowledge.

IF 3.1 3区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Zhehao Huang, Yang Cao, Jiali Li, Geoffrey F Woodman, Bao Zhang, Benchi Wang
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引用次数: 0

Abstract

Forgetting is a core dynamic of memory which follows a rapid loss that slows into gradual decline. Notably, recent evidence suggests that selective retrieval strengthens recalled items, benefits nonretrieved ones, and reinstates the forgetting curve. A central question is whether these retrieval benefits depend on prior knowledge or reflect a domain-general mechanism. We tested 216 participants who studied high-knowledge (common) or low-knowledge (rare) Chinese characters and were assessed either directly or after a selective retrieval phase. Across conditions, retrieval boosted recall for both retrieved and nonretrieved characters and restarted forgetting functions. High-knowledge characters were remembered more accurately overall, but forgetting rates and retrieval-induced gains were equivalent across knowledge levels. These findings suggest that retrieval benefits can emerge independent of semantic expertise. By bridging expertise and forgetting literatures, our study provides evidence that selective retrieval as a domain-general phenomenon for stabilizing memory over time.

选择性检索增强记忆,而不考虑先前的知识。
遗忘是记忆的一种核心动态,它伴随着快速丧失而逐渐减弱。值得注意的是,最近的证据表明,选择性检索加强了回忆的项目,使未检索的项目受益,并恢复了遗忘曲线。一个核心问题是,这些检索优势是否依赖于先验知识,还是反映了一个领域通用机制。我们测试了216名学习高知识(常见)或低知识(罕见)汉字的参与者,并在直接或选择性检索阶段后进行了评估。在不同的条件下,检索提高了对检索到的和未检索到的字符的回忆,并重新启动了遗忘功能。总体而言,高知识特征的记忆更准确,但遗忘率和检索诱发的增益在不同的知识水平上是相等的。这些发现表明,检索优势可以独立于语义专业知识而出现。通过连接专业知识和遗忘文献,我们的研究提供了选择性检索作为一种稳定记忆的普遍现象的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.70
自引率
2.90%
发文量
165
期刊介绍: The journal provides coverage spanning a broad spectrum of topics in all areas of experimental psychology. The journal is primarily dedicated to the publication of theory and review articles and brief reports of outstanding experimental work. Areas of coverage include cognitive psychology broadly construed, including but not limited to action, perception, & attention, language, learning & memory, reasoning & decision making, and social cognition. We welcome submissions that approach these issues from a variety of perspectives such as behavioral measurements, comparative psychology, development, evolutionary psychology, genetics, neuroscience, and quantitative/computational modeling. We particularly encourage integrative research that crosses traditional content and methodological boundaries.
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