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模拟言语和非言语配对强度对关联识别的影响。

Modeling the effects of verbal and nonverbal pair strength on associative recognition.

作者信息

Xu Jing, Malmberg Kenneth J

机构信息

Iowa State University of Science and Technology, Ames, Iowa, USA.

出版信息

Mem Cognit. 2007 Apr;35(3):526-44. doi: 10.3758/bf03193292.

Abstract

Operations that improve the accuracy of associative recognition can do so in qualitatively different ways. Increasing repetitions and study time increases hit rates but has small effects on false alarm rates, and the specific patterns of false alarms are dependent on the stimuli (e.g., pairs of words, pseudowords, faces, or Chinese characters). In contrast, manipulating the type of stimuli that make up pairs produces a robust mirror effect: The hit rate is greater, and the false alarm rate is lower, for better recognized stimuli. To explain these findings, a model of single-item recognition is extended to associative recognition. Within this dual-process framework, the present results suggest that words are encoded more extensively than nonverbal stimuli and that recognition of frequently encountered stimuli (words and faces) is more likely to be based on recollection than is recognition of uncommon stimuli (pseudowords and Chinese characters).

摘要

提高关联识别准确性的操作可以通过质的不同方式来实现。增加重复次数和学习时间会提高命中率,但对误报率影响较小,而且误报的具体模式取决于刺激物(例如,单词对、假词、面孔或汉字)。相比之下,操纵构成对子的刺激物类型会产生一种强烈的镜像效应:对于识别度更高的刺激物,命中率更高,误报率更低。为了解释这些发现,将单项目识别模型扩展到关联识别。在这个双过程框架内,目前的结果表明,单词的编码比非语言刺激更广泛,而且与不常见刺激物(假词和汉字)的识别相比,对经常遇到的刺激物(单词和面孔)的识别更可能基于回忆。

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