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.
中科院分区:
文献类型:
--
作者:
Losh, Molly;Gordon, Peter C.
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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