Abstract conceptual feature ratings: the role of emotion, magnitude, and other cognitive domains in the organization of abstract conceptual knowledge.
Abstract conceptual feature ratings: the role of emotion, magnitude, and other cognitive domains in the organization of abstract conceptual knowledge.
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DOI：
10.3389/fnhum.2013.00186
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发表时间：
2013
影响因子：
2.9
通讯作者：
Ridgway GR
中科院分区：
文献类型：
--
作者：
Crutch SJ;Troche J;Reilly J;Ridgway GR
这项研究利用了不同类型的信息(感觉、行为、情感、思维、社交、道德、时间、空间、数量和极性)对400个个人抽象和具体的言语概念的贡献的控制等级。这些抽象概念特征(ACF)评级被用来生成高维语义空间，从该空间中提取各个概念之间的欧几里得距离度量作为这些词的语义关联度的度量。然后，通过评估这些距离是否能够预测全面性失语症患者在两个言语理解任务中的理解成绩，来检验这些距离作为语义关联标记的有效性。有人假设，如果ACF控制评分产生的高维空间接近抽象概念空间的组织，那么被较小距离分隔的单词应该比被较大距离分隔的单词在语义上更相关，因此对于理解障碍患者SKO来说，应该更难区分。SKO在识别低ACF距离的词对中出现的目标方面明显较差。潜在语义分析(LSA)余弦、任何单个特征评级或任何背景变量都不能预测反应的准确性。这一新的评分程序提供了一个了解单个抽象概念的语义属性的窗口，并且多个认知系统可能影响抽象概念知识的获得和组织。更广泛地说，抽象概念知识的认知模型不仅必须考虑抽象概念之间的关系的表征，而且还必须考虑构成这些单独概念的属性的表征。
This study harnessed control ratings of the contribution of different types of information (sensation, action, emotion, thought, social interaction, morality, time, space, quantity, and polarity) to 400 individual abstract and concrete verbal concepts. These abstract conceptual feature (ACF) ratings were used to generate a high dimensional semantic space, from which Euclidean distance measurements between individual concepts were extracted as a metric of the semantic relatedness of those words. The validity of these distances as a marker of semantic relatedness was then tested by evaluating whether they could predict the comprehension performance of a patient with global aphasia on two verbal comprehension tasks. It was hypothesized that if the high-dimensional space generated from ACF control ratings approximates the organization of abstract conceptual space, then words separated by small distances should be more semantically related than words separated by greater distances, and should therefore be more difficult to distinguish for the comprehension-impaired patient, SKO. SKO was significantly worse at identifying targets presented within word pairs with low ACF distances. Response accuracy was not predicted by Latent Semantic Analysis (LSA) cosines, any of the individual feature ratings, or any of the background variables. It is argued that this novel rating procedure provides a window on the semantic attributes of individual abstract concepts, and that multiple cognitive systems may influence the acquisition and organization of abstract conceptual knowledge. More broadly, it is suggested that cognitive models of abstract conceptual knowledge must account for the representation not only of the relationships between abstract concepts but also of the attributes which constitute those individual concepts.
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