Suppr超能文献

说出非常熟悉之人的名字:当检索名字比检索语义性生平信息更快时。

Naming very familiar people: when retrieving names is faster than retrieving semantic biographical information.

作者信息

Brédart Serge, Brennen Tim, Delchambre Marie, McNeill Allan, Burton A Mike

机构信息

Department of Cognitive Science, University of Liège, Belgium.

出版信息

Br J Psychol. 2005 May;96(Pt 2):205-14. doi: 10.1348/000712605X38378.

Abstract

One of the most reliable findings in the literature on person indentification is that semantic categorization of a face occurs more quickly than naming a face. Here we present two experiments in which participants are shown the faces of their colleagues, i.e., personally familiar people, encountered with high frequency. In each experiment, naming was faster than making a semantic classification, despite the fact that the semantic classifications were highly salient to the participants (Experiment 1: highest degree obtained; Experiment 2: nationality). The finding is consistent with models that allow or parallel access from faces to semantic information and to names, and demonstrates the need for the frequency of exposure to names to be taken into account in models of proper name processing e.g. Burke, Mackay, Worthley and Wade (1991).

摘要

关于人物识别的文献中最可靠的发现之一是,对面部进行语义分类比说出面部的名字要快。在此,我们展示了两个实验,实验中向参与者展示他们同事的面孔,即他们高频接触的熟人。在每个实验中,说出名字的速度都比进行语义分类要快,尽管语义分类对参与者来说非常显著(实验1:获得的显著程度最高;实验2:国籍)。这一发现与那些允许从面部并行获取语义信息和名字的模型一致,并表明在专名处理模型中需要考虑名字的接触频率,例如伯克、麦凯、沃思利和韦德(1991年)提出的模型。

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