The Representation of Abstract Words: Why Emotion Matters
The Representation of Abstract Words: Why Emotion Matters
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DOI：
10.1037/a0021446
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发表时间：
2011-02-01
影响因子：
4.1
通讯作者：
Del Campo, Elena
中科院分区：
文献类型：
--
作者：
Kousta, Stavroula-Thaleia;Vigliocco, Gabriella;Del Campo, Elena
虽然我们对具体概念的表示和处理有很多了解，但对抽象语义的了解却非常有限。在这篇文章中，我们首先解决的充分性的两个占主导地位的帐户（双重编码理论和上下文可用性模型）提出，以解释具体和抽象的话之间的表征和处理的差异。我们发现，这两种建议都不能解释实验结果，这至少是部分原因，因为在这两种解释中，抽象词被认为与经验信息无关。然后，我们讨论了一种特殊类型的经验信息，情感内容，并证明它在抽象概念的处理和表征中起着至关重要的作用：从统计学上看，抽象词比具体词更有情感价值，这就解释了抽象词的剩余延迟优势，当诸如图像质量（从双重编码理论导出的构造）和额定上下文可用性的变量保持恒定时。最后，我们讨论了我们的新假设体现抽象语义。
Although much is known about the representation and processing of concrete concepts, knowledge of what abstract semantics might be is severely limited. In this article we first address the adequacy of the 2 dominant accounts (dual coding theory and the context availability model) put forward in order to explain representation and processing differences between concrete and abstract words. We find that neither proposal can account for experimental findings and that this is, at least partly, because abstract words are considered to be unrelated to experiential information in both of these accounts. We then address a particular type of experiential information, emotional content, and demonstrate that it plays a crucial role in the processing and representation of abstract concepts: Statistically, abstract words are more emotionally valenced than are concrete words, and this accounts for a residual latency advantage for abstract words, when variables such as imageability (a construct derived from dual coding theory) and rated context availability are held constant. We conclude with a discussion of our novel hypothesis for embodied abstract semantics.