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Language Processing Differences Between Blind and Sighted Individuals and the Abstract Versus Concrete Concept
Enrique Canessa1,2, Sergio E Chaigneau1,3, Sebastián Moreno2
1Center for Cognition Research (CINCO), School of Psychology, Universidad Adolfo Ibáñe.
A mathematical model reveals significant differences in how sighted and blind individuals process abstract versus concrete concepts. These differences are less pronounced in blind individuals, offering insights into semantic knowledge representation.
Area of Science:
- Cognitive Psychology
- Linguistics
- Neuroscience
Background:
- Conceptual property norming (CPN) studies collect property lists for concepts.
- Property listing tasks (PLT) involve participants generating properties for given concepts.
- Distinguishing abstract from concrete concepts and understanding semantic knowledge in different populations remain key research questions.
Purpose of the Study:
- To mathematically model the property listing process.
- To characterize the differences between abstract and concrete concepts.
- To characterize semantic knowledge differences between blind and sighted populations.
Main Methods:
- Utilized a mathematical model applied to data from a large conceptual property norming study.
- Analyzed property lists generated by both sighted and blind participants.
- Compared model outputs to identify differences in concept processing.
Main Results:
- The mathematical model identified significant differences in property listing between abstract and concrete concepts.
- Blind participants exhibited processing differences between abstract and concrete concepts, similar to sighted individuals.
- These differences were found to be less pronounced in the blind population compared to the sighted population.
Conclusions:
- Abstract concepts are processed differently than concrete concepts, as evidenced by property listing patterns.
- While blind individuals show similar abstract-concrete processing distinctions as sighted individuals, these distinctions are attenuated.
- The findings contribute to theories characterizing abstract concepts and semantic knowledge representation in diverse populations.
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