Quantifying narrative ability in autism spectrum disorder: a computational linguistic analysis of narrative coherence.

Quantifying narrative ability in autism spectrum disorder: a computational linguistic analysis of narrative coherence.
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DOI:
10.1007/s10803-014-2158-y
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发表时间:
2014-12
影响因子:
3.9
通讯作者:
Gordon, Peter C.
Gordon, Peter C.
中科院分区:
心理学3区
文献类型:
--
作者:
Losh, Molly;Gordon, Peter C.

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自闭症谱系障碍(ASD)的特征是社交和功能障碍,以及仪式/重复行为。虽然在症状表达上存在很大的异质性,但普遍观察到语言话语技能(包括叙述)的损伤。本研究应用计算语言学工具--潜在语义分析(LSA),客观地描述自闭症谱系障碍在两种人际和认知需求不同的叙事背景下的叙事表现。结果表明,自闭症谱系障碍的个人产生的叙事语义内容的控制时,从一本图画书叙述,但产生的叙事减少了语义质量在一个更苛刻的叙事回忆任务。结果进行了讨论的效用LSA作为一个定量的,客观的,有效的衡量叙事能力。
Autism Spectrum Disorder (ASD) is characterized by difficulties with social communication and functioning, and ritualistic/repetitive behaviors. While substantial heterogeneity exists in symptom expression, impairments in language discourse skills, including narrative, are universally observed. This study applied a computational linguistic tool, Latent Semantic Analysis (LSA), to objectively characterize narrative performance in ASD across two narrative contexts differing in interpersonal and cognitive demands. Results indicated that individuals with ASD produced narratives comparable in semantic content to those from controls when narrating from a picture book, but produced narratives diminished in semantic quality in a more demanding narrative recall task. Results are discussed in terms of the utility of LSA as a quantitative, objective, and efficient measure of narrative ability.
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