Autistic Traits, Communicative Efficiency, and Social Biases Shape Language Learning in Autistic and Allistic Learners

IF 2.3 2区 心理学 Q2 PSYCHOLOGY, EXPERIMENTAL
Lauren Fletcher, Hugh Rabagliati, Jennifer Culbertson
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Abstract

There is ample evidence that individual-level cognitive mechanisms active during language learning and use can contribute to the evolution of language. For example, experimental work suggests that learners will reduce case marking in a language where grammatical roles are reliably indicated by fixed word order, a correlation found robustly in the languages of the world. However, such research often assumes homogeneity among language learners and users, or at least does not dig into individual differences in behavior. Yet, it is increasingly clear that language users vary in a large number of ways: in culture, in demographics, and—critically for present purposes—in terms of cognitive diversity. Here, we explore how neurodiversity impacts behavior in an experimental task similar to the one summarized above, and how this behavior interacts with social pressures. We find both similarities and differences between autistic and nonautistic English-speaking individuals, suggesting that neurodiversity can impact language change in the lab. This, in turn, highlights the potential for future research on the role of neurodivergent populations in language evolution more generally.

Abstract Image

自闭症特质、沟通效率和社会偏见影响着自闭症和孤独症学习者的语言学习。
有大量证据表明,在语言学习和使用过程中活跃的个体层面的认知机制可以促进语言的进化。例如,实验研究表明,在语法角色由固定词序可靠表示的语言中,学习者会减少大小写标记,而这种相关性在世界各种语言中都被发现。然而,此类研究通常假定语言学习者和使用者之间存在同质性,或者至少没有深入研究个体行为的差异。然而,越来越清楚的是,语言使用者在很多方面都存在差异:文化、人口统计学,以及--对目前的研究而言--认知多样性。在此,我们将探讨神经多样性如何影响类似上述实验任务的行为,以及这种行为如何与社会压力相互作用。我们发现自闭症和非自闭症英语个体之间既有相似之处,也有不同之处,这表明神经多样性会影响实验室中的语言变化。这反过来又凸显了未来研究神经变异人群在语言进化中的作用的潜力。
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来源期刊
Cognitive Science
Cognitive Science PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.10
自引率
8.00%
发文量
139
期刊介绍: Cognitive Science publishes articles in all areas of cognitive science, covering such topics as knowledge representation, inference, memory processes, learning, problem solving, planning, perception, natural language understanding, connectionism, brain theory, motor control, intentional systems, and other areas of interdisciplinary concern. Highest priority is given to research reports that are specifically written for a multidisciplinary audience. The audience is primarily researchers in cognitive science and its associated fields, including anthropologists, education researchers, psychologists, philosophers, linguists, computer scientists, neuroscientists, and roboticists.
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