Semantic Richness Effects in Spoken Word Recognition: A Lexical Decision and Semantic Categorization Megastudy.
Semantic Richness Effects in Spoken Word Recognition: A Lexical Decision and Semantic Categorization Megastudy.
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DOI：
10.3389/fpsyg.2016.00976
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发表时间：
2016
影响因子：
3.8
通讯作者：
Tan LC
中科院分区：
文献类型：
--
作者：
Goh WD;Yap MJ;Lau MC;Ng MM;Tan LC
大量研究表明，语义丰富度维度[例如，特征数、语义邻域密度、语义多样性、具体性、情感效价]影响词的识别过程。其中一些丰富度效应似乎是任务一般的，而另一些则被发现在不同的任务中有所不同。重要的是，几乎所有这些发现都在视觉单词识别文献中找到。为了解决这一差距，我们研究了这些语义丰富度的影响，也发现在口语单词识别的程度，使用megastudy方法，允许检查的相对贡献的各种语义属性的性能在两个任务：词汇决策，语义分类。结果表明，具体性，效价，和功能的数量占在两个任务在一个类似的方向，更快的反应是具体的，情感valenced，并与大量的功能，而唤醒，语义邻域密度和语义多样性的独特的变化在lavelion没有影响lavelion。口语单词识别过程的影响进行了讨论。
A large number of studies have demonstrated that semantic richness dimensions [e.g., number of features, semantic neighborhood density, semantic diversity , concreteness, emotional valence] influence word recognition processes. Some of these richness effects appear to be task-general, while others have been found to vary across tasks. Importantly, almost all of these findings have been found in the visual word recognition literature. To address this gap, we examined the extent to which these semantic richness effects are also found in spoken word recognition, using a megastudy approach that allows for an examination of the relative contribution of the various semantic properties to performance in two tasks: lexical decision, and semantic categorization. The results show that concreteness, valence, and number of features accounted for unique variance in latencies across both tasks in a similar direction—faster responses for spoken words that were concrete, emotionally valenced, and with a high number of features—while arousal, semantic neighborhood density, and semantic diversity did not influence latencies. Implications for spoken word recognition processes are discussed.