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一项用于测量地标识别和命名的测试。

A test for measuring recognition and naming of landmarks.

作者信息

Tranel Daniel, Enekwechi Nonso, Manzel Ken

机构信息

Department of Neurology, Division of Cognitive Neuroscience, University of Iowa College of Medicine, Iowa City, IA 52242, USA.

出版信息

J Clin Exp Neuropsychol. 2005 Jan;27(1):102-26. doi: 10.1080/138033990513663.

Abstract

There have been considerable giants in recent years in understanding cognitive and neural correlated for retrieval of various types of knowledge, such as the meanings and lexical forms for categories such as a familiar faces, animals and tools, and actions. An important category that has been largely neglected so far is landmarks, and one likely reason for this is a lack of suitable stimulus materials. Here, we report a study in which we designed a Landmark Recognition and Naming Test. The test contains 65 natural (e.g., "Old Faithful") and artifactual (e.g., "U.S Capitol") landmarks from around the world. Preliminary recognition and naming data about the participants (e.g., educational level, participants, experience traveling to national parks), the stimuli (e.g., visual complexity, image agreement), and participant-stimulus interactions (e.g., familiarity, age of acquisition), and analyzed how such factors influenced landmark recognition and naming. There was a pronounced sex-related difference in landmark recognition favoring men; however, men and women performed similarly in landmark naming. We provide here extensive data regarding the stimuli, and we encourage other investigators to make use of our stimuli and data in future investigations of landmark recognition and naming.

摘要

近年来,在理解各类知识检索的认知和神经关联方面取得了显著进展,比如熟悉面孔、动物、工具等类别的意义和词汇形式以及动作。到目前为止,一个在很大程度上被忽视的重要类别是地标,造成这种情况的一个可能原因是缺乏合适的刺激材料。在此,我们报告一项研究,其中我们设计了一项地标识别与命名测试。该测试包含来自世界各地的65个自然地标(如“老忠实喷泉”)和人造地标(如“美国国会大厦”)。收集了关于参与者的初步识别和命名数据(如教育水平、参与者、前往国家公园旅行的经历)、刺激因素(如视觉复杂性、图像一致性)以及参与者与刺激因素的相互作用(如熟悉程度、习得年龄),并分析了这些因素如何影响地标识别和命名。在地标识别方面存在明显的性别差异,男性更具优势;然而,男性和女性在地标命名方面表现相似。我们在此提供了关于这些刺激因素的大量数据,并鼓励其他研究人员在未来地标识别和命名的研究中使用我们的刺激因素和数据。

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