@inproceedings{parish-morris-etal-2018-oral,
title = "Oral-Motor and Lexical Diversity During Naturalistic Conversations in Adults with Autism Spectrum Disorder",
author = "Parish-Morris, Julia and
Sariyanidi, Evangelos and
Zampella, Casey and
Bartley, G. Keith and
Ferguson, Emily and
Pallathra, Ashley A. and
Bateman, Leila and
Plate, Samantha and
Cola, Meredith and
Pandey, Juhi and
Brodkin, Edward S. and
Schultz, Robert T. and
Tun{\c{c}}, Birkan",
editor = "Loveys, Kate and
Niederhoffer, Kate and
Prud{'}hommeaux, Emily and
Resnik, Rebecca and
Resnik, Philip",
booktitle = "Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic",
month = jun,
year = "2018",
address = "New Orleans, LA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-0616",
doi = "10.18653/v1/W18-0616",
pages = "147--157",
abstract = "Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by impaired social communication and the presence of restricted, repetitive patterns of behaviors and interests. Prior research suggests that restricted patterns of behavior in ASD may be cross-domain phenomena that are evident in a variety of modalities. Computational studies of language in ASD provide support for the existence of an underlying dimension of restriction that emerges during a conversation. Similar evidence exists for restricted patterns of facial movement. Using tools from computational linguistics, computer vision, and information theory, this study tests whether cognitive-motor restriction can be detected across multiple behavioral domains in adults with ASD during a naturalistic conversation. Our methods identify restricted behavioral patterns, as measured by entropy in word use and mouth movement. Results suggest that adults with ASD produce significantly less diverse mouth movements and words than neurotypical adults, with an increased reliance on repeated patterns in both domains. The diversity values of the two domains are not significantly correlated, suggesting that they provide complementary information.",
}
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<abstract>Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by impaired social communication and the presence of restricted, repetitive patterns of behaviors and interests. Prior research suggests that restricted patterns of behavior in ASD may be cross-domain phenomena that are evident in a variety of modalities. Computational studies of language in ASD provide support for the existence of an underlying dimension of restriction that emerges during a conversation. Similar evidence exists for restricted patterns of facial movement. Using tools from computational linguistics, computer vision, and information theory, this study tests whether cognitive-motor restriction can be detected across multiple behavioral domains in adults with ASD during a naturalistic conversation. Our methods identify restricted behavioral patterns, as measured by entropy in word use and mouth movement. Results suggest that adults with ASD produce significantly less diverse mouth movements and words than neurotypical adults, with an increased reliance on repeated patterns in both domains. The diversity values of the two domains are not significantly correlated, suggesting that they provide complementary information.</abstract>
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%0 Conference Proceedings
%T Oral-Motor and Lexical Diversity During Naturalistic Conversations in Adults with Autism Spectrum Disorder
%A Parish-Morris, Julia
%A Sariyanidi, Evangelos
%A Zampella, Casey
%A Bartley, G. Keith
%A Ferguson, Emily
%A Pallathra, Ashley A.
%A Bateman, Leila
%A Plate, Samantha
%A Cola, Meredith
%A Pandey, Juhi
%A Brodkin, Edward S.
%A Schultz, Robert T.
%A Tunç, Birkan
%Y Loveys, Kate
%Y Niederhoffer, Kate
%Y Prud’hommeaux, Emily
%Y Resnik, Rebecca
%Y Resnik, Philip
%S Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, LA
%F parish-morris-etal-2018-oral
%X Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by impaired social communication and the presence of restricted, repetitive patterns of behaviors and interests. Prior research suggests that restricted patterns of behavior in ASD may be cross-domain phenomena that are evident in a variety of modalities. Computational studies of language in ASD provide support for the existence of an underlying dimension of restriction that emerges during a conversation. Similar evidence exists for restricted patterns of facial movement. Using tools from computational linguistics, computer vision, and information theory, this study tests whether cognitive-motor restriction can be detected across multiple behavioral domains in adults with ASD during a naturalistic conversation. Our methods identify restricted behavioral patterns, as measured by entropy in word use and mouth movement. Results suggest that adults with ASD produce significantly less diverse mouth movements and words than neurotypical adults, with an increased reliance on repeated patterns in both domains. The diversity values of the two domains are not significantly correlated, suggesting that they provide complementary information.
%R 10.18653/v1/W18-0616
%U https://aclanthology.org/W18-0616
%U https://doi.org/10.18653/v1/W18-0616
%P 147-157
Markdown (Informal)
[Oral-Motor and Lexical Diversity During Naturalistic Conversations in Adults with Autism Spectrum Disorder](https://aclanthology.org/W18-0616) (Parish-Morris et al., CLPsych 2018)
ACL
- Julia Parish-Morris, Evangelos Sariyanidi, Casey Zampella, G. Keith Bartley, Emily Ferguson, Ashley A. Pallathra, Leila Bateman, Samantha Plate, Meredith Cola, Juhi Pandey, Edward S. Brodkin, Robert T. Schultz, and Birkan Tunç. 2018. Oral-Motor and Lexical Diversity During Naturalistic Conversations in Adults with Autism Spectrum Disorder. In Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, pages 147–157, New Orleans, LA. Association for Computational Linguistics.