Suppr超能文献

情绪内容对假词识别的影响。

The impact of emotional content on pseudoword recognition.

机构信息

Department of Psychology, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126, Milan, Italy.

Department of Psychology and Cognitive Science, University of Trento, Corso Bettini, 84, 38068, Rovereto, Italy.

出版信息

Psychol Res. 2021 Nov;85(8):2980-2996. doi: 10.1007/s00426-020-01454-6. Epub 2020 Dec 18.

Abstract

The present study investigates the influence of emotional information on language processing. To this aim, we measured behavioral responses and event-related brain potentials (ERPs) during four Italian lexical decision experiments in which we used emotionally intense and neutral pseudowords-i.e., pseudowords derived from changing one letter in a word (e.g., cammelto, derived from cammello 'camel' vs. copezzolo, from capezzolo 'nipple')-as stimuli. In Experiment 1 and 2, half of the pseudowords were emotionally intense and half were neutral, and were mixed with neutral words. In Experiment 3, the list composition was manipulated, with ¼ of the pseudowords being derived from emotionally intense words and ¾ derived from neutral words. Experiment 4 was identical to Experiment 1, but ERPs were recorded. Emotionally intense pseudowords were categorized more slowly than neutral pseudowords, with the difference emerging both in the mean and at the leading edge of the response times distribution. Moreover, emotionally intense pseudowords elicited smaller N170 and N400 than neutral pseudowords. These results speak in favor of a fast and multi-level infiltration of the emotional information into the linguistic process of word recognition.

摘要

本研究考察了情绪信息对语言处理的影响。为此,我们在四项意大利语词汇判断实验中测量了行为反应和事件相关脑电位(ERPs),在这些实验中,我们使用了情绪强烈和中性的假词作为刺激,即通过改变单词中的一个字母而产生的假词(例如,cammelto 来自 cammello 'camel',而 copezzolo 来自 capezzolo 'nipple')。在实验 1 和 2 中,一半的假词是情绪强烈的,一半是中性的,与中性词混合在一起。在实验 3 中,列表组成被操纵,四分之一的假词来自情绪强烈的词,四分之三来自中性词。实验 4 与实验 1 相同,但记录了 ERPs。情绪强烈的假词比中性假词分类更慢,这种差异既出现在平均水平上,也出现在反应时间分布的前沿。此外,情绪强烈的假词诱发的 N170 和 N400 比中性假词小。这些结果表明,情绪信息迅速且多层次地渗透到单词识别的语言处理过程中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3d7/8476368/04809cf03a68/426_2020_1454_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验