The Semantic Content of Abstract Concepts: A Property Listing Study of 296 Abstract Words.

The Semantic Content of Abstract Concepts: A Property Listing Study of 296 Abstract Words.
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DOI:
10.3389/fpsyg.2018.01748
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发表时间:
2018
影响因子:
3.8
通讯作者:
Kiefer M
Kiefer M
中科院分区:
心理学3区
文献类型:
--
作者:
Harpaintner M;Trumpp NM;Kiefer M

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抽象概念与特定于通道的系统之间的关系是有争议的。根据经典的研究方法,抽象概念的语义内容只能通过不同于感觉和运动系统的非情态或言语符号表征来编码,因为抽象概念缺乏明确的物理指称。相比之下,扎根的认知理论认为,抽象概念不仅依赖于言语系统,还依赖于包括知觉、行为、情感和内部状态在内的各种情态系统。为了对这场辩论做出贡献,我们使用属性生成任务调查了抽象概念的语义内容。参与者被要求生成296个抽象概念的属性,这些概念与构成它们的意义相关。这些属性通过一种编码方案进行分类,从而可以将其分类为特定于情态和言语的内容。根据具体程度/抽象程度和熟悉度对单词进行了额外评分。为了确定具有不同特征轮廓的抽象概念的可能子组,进行了层次聚类分析。除了语言联想,参与者还产生了相当大比例的内省、情感、社交、感觉和运动相关的属性。聚类分析揭示了抽象概念的不同亚类,这可以表现为某些概念特征的优势。因此,这一结果与扎根的认知理论是一致的,后者强调语言、社会、内省和情感经验信息对于抽象概念表征的重要性。我们的发现还表明,抽象概念具有高度的异质性,需要研究抽象概念中明确指定的子类别,例如,正如本聚类分析所揭示的那样。因此,本研究可以指导未来的行为或成像工作,进一步阐明抽象概念的表征。
The relation of abstract concepts to the modality-specific systems is discussed controversially. According to classical approaches, the semantic content of abstract concepts can only be coded by amodal or verbal-symbolic representations distinct from the sensory and motor systems, because abstract concepts lack a clear physical referent. Grounded cognition theories, in contrast, propose that abstract concepts do not depend only on the verbal system, but also on a variety of modal systems involving perception, action, emotion and internal states. In order to contribute to this debate, we investigated the semantic content of abstract concepts using a property generation task. Participants were asked to generate properties for 296 abstract concepts, which are relevant for constituting their meaning. These properties were categorized by a coding-scheme making a classification into modality-specific and verbal contents possible. Words were additionally rated with regard to concreteness/abstractness and familiarity. To identify possible subgroups of abstract concepts with distinct profiles of generated features, hierarchical cluster analyses were conducted. Participants generated a substantial proportion of introspective, affective, social, sensory and motor-related properties, in addition to verbal associations. Cluster analyses revealed different subcategories of abstract concepts, which can be characterized by the dominance of certain conceptual features. The present results are therefore compatible with grounded cognition theories, which emphasize the importance of linguistic, social, introspective and affective experiential information for the representation of abstract concepts. Our findings also indicate that abstract concepts are highly heterogeneous requiring the investigation of well-specified subcategories of abstract concepts, for instance as revealed by the present cluster analyses. The present study could thus guide future behavioral or imaging work further elucidating the representation of abstract concepts.
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