Center for Cognition Research (CINCO), School of Psychology, Universidad Adolfo Ibáñe.
Faculty of Engineering and Science, Universidad Adolfo Ibáñez.
Cogn Sci. 2021 Oct;45(10):e13044. doi: 10.1111/cogs.13044.
In the property listing task (PLT), participants are asked to list properties for a concept (e.g., for the concept dog, "barks," and "is a pet" may be produced). In conceptual property norming (CPNs) studies, participants are asked to list properties for large sets of concepts. Here, we use a mathematical model of the property listing process to explore two longstanding issues: characterizing the difference between concrete and abstract concepts, and characterizing semantic knowledge in the blind versus sighted population. When we apply our mathematical model to a large CPN reporting properties listed by sighted and blind participants, the model uncovers significant differences between concrete and abstract concepts. Though we also find that blind individuals show many of the same processing differences between abstract and concrete concepts found in sighted individuals, our model shows that those differences are noticeably less pronounced than in sighted individuals. We discuss our results vis-a-vis theories attempting to characterize abstract concepts.
在属性列举任务(PLT)中,参与者被要求为一个概念列举属性(例如,对于狗这个概念,可能会产生“叫”和“是宠物”等属性)。在概念属性规范(CPN)研究中,参与者被要求为大量概念列举属性。在这里,我们使用属性列举过程的数学模型来探讨两个长期存在的问题:描述具体概念和抽象概念之间的差异,以及描述盲人和正常人的语义知识。当我们将我们的数学模型应用于一个大型 CPN 报告由盲人和正常人列举的属性时,该模型揭示了具体概念和抽象概念之间的显著差异。尽管我们还发现,盲人在抽象和具体概念之间的处理差异与正常人相似,但我们的模型表明,这些差异在盲人身上不如正常人明显。我们根据试图描述抽象概念的理论讨论了我们的结果。