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Early development indicators predict speech features of autistic children. / Lyakso, Elena E.; Frolova, Olga V.

ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction. Association for Computing Machinery, 2020. p. 514-521 (ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Lyakso, EE & Frolova, OV 2020, Early development indicators predict speech features of autistic children. in ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction. ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction, Association for Computing Machinery, pp. 514-521, 2020 International Conference on Multimodal Interaction, ICMI 2020, Virtual, Online, Netherlands, 25/10/20. https://doi.org/10.1145/3395035.3425183

APA

Lyakso, E. E., & Frolova, O. V. (2020). Early development indicators predict speech features of autistic children. In ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction (pp. 514-521). (ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction). Association for Computing Machinery. https://doi.org/10.1145/3395035.3425183

Vancouver

Lyakso EE, Frolova OV. Early development indicators predict speech features of autistic children. In ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction. Association for Computing Machinery. 2020. p. 514-521. (ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction). https://doi.org/10.1145/3395035.3425183

Author

Lyakso, Elena E. ; Frolova, Olga V. / Early development indicators predict speech features of autistic children. ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction. Association for Computing Machinery, 2020. pp. 514-521 (ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction).

BibTeX

@inproceedings{dec3e93f4d394711871b19098974c18c,
title = "Early development indicators predict speech features of autistic children",
abstract = "The goal of the study is to reveal the correlation between speech peculiarities and different aspects of development of children with autism spectrum disorders. The participants in the study were 28 children with autism spectrum disorders (ASD) aged 4-11 years and 64 adults - listening to children's speech samples. Children with ASD were divided into two groups: ASD-1 - ASD is the leading symptom (F84, n=17); children assigned to ASD-2 (n=11) had other disorders accompanied by ASD symptomatology (F83 + F84). Recording of children's speech and behavior was carried out in the most similar situations: a dialogue with the experimenter, viewing pictures and retelling a story about them or answers to questions, book reading. The child's psychophysiological characteristics were estimated according to the method which includes determining the leading hemisphere by speech (dichotic listening test - DLT), phonemic hearing, and the profile of lateral functional asymmetry (PLFA). All tasks and the time of the study were adapted to the child's capacities. The study analyzed the level of speech formation in 4-11 year-old children with ASD, identified direct and indirect relationships between the features of early development, its psychophysiological indicators, and the speech development level at the time of the study. The ability of adults to recognize the psychoneurological state of children via their speech is determined. The results of the study support the need to increase focus on and understanding of the language strengths and weaknesses in children with ASD and an individual approach to teaching children.",
keywords = "Atypical development, Child speech acoustics, Russian language, Speech ontogenesis, Typical development",
author = "Lyakso, {Elena E.} and Frolova, {Olga V.}",
note = "Publisher Copyright: {\textcopyright} 2020 ACM. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 2020 International Conference on Multimodal Interaction, ICMI 2020 ; Conference date: 25-10-2020 Through 29-10-2020",
year = "2020",
month = oct,
day = "25",
doi = "10.1145/3395035.3425183",
language = "English",
series = "ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction",
publisher = "Association for Computing Machinery",
pages = "514--521",
booktitle = "ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction",
address = "United States",

}

RIS

TY - GEN

T1 - Early development indicators predict speech features of autistic children

AU - Lyakso, Elena E.

AU - Frolova, Olga V.

N1 - Publisher Copyright: © 2020 ACM. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2020/10/25

Y1 - 2020/10/25

N2 - The goal of the study is to reveal the correlation between speech peculiarities and different aspects of development of children with autism spectrum disorders. The participants in the study were 28 children with autism spectrum disorders (ASD) aged 4-11 years and 64 adults - listening to children's speech samples. Children with ASD were divided into two groups: ASD-1 - ASD is the leading symptom (F84, n=17); children assigned to ASD-2 (n=11) had other disorders accompanied by ASD symptomatology (F83 + F84). Recording of children's speech and behavior was carried out in the most similar situations: a dialogue with the experimenter, viewing pictures and retelling a story about them or answers to questions, book reading. The child's psychophysiological characteristics were estimated according to the method which includes determining the leading hemisphere by speech (dichotic listening test - DLT), phonemic hearing, and the profile of lateral functional asymmetry (PLFA). All tasks and the time of the study were adapted to the child's capacities. The study analyzed the level of speech formation in 4-11 year-old children with ASD, identified direct and indirect relationships between the features of early development, its psychophysiological indicators, and the speech development level at the time of the study. The ability of adults to recognize the psychoneurological state of children via their speech is determined. The results of the study support the need to increase focus on and understanding of the language strengths and weaknesses in children with ASD and an individual approach to teaching children.

AB - The goal of the study is to reveal the correlation between speech peculiarities and different aspects of development of children with autism spectrum disorders. The participants in the study were 28 children with autism spectrum disorders (ASD) aged 4-11 years and 64 adults - listening to children's speech samples. Children with ASD were divided into two groups: ASD-1 - ASD is the leading symptom (F84, n=17); children assigned to ASD-2 (n=11) had other disorders accompanied by ASD symptomatology (F83 + F84). Recording of children's speech and behavior was carried out in the most similar situations: a dialogue with the experimenter, viewing pictures and retelling a story about them or answers to questions, book reading. The child's psychophysiological characteristics were estimated according to the method which includes determining the leading hemisphere by speech (dichotic listening test - DLT), phonemic hearing, and the profile of lateral functional asymmetry (PLFA). All tasks and the time of the study were adapted to the child's capacities. The study analyzed the level of speech formation in 4-11 year-old children with ASD, identified direct and indirect relationships between the features of early development, its psychophysiological indicators, and the speech development level at the time of the study. The ability of adults to recognize the psychoneurological state of children via their speech is determined. The results of the study support the need to increase focus on and understanding of the language strengths and weaknesses in children with ASD and an individual approach to teaching children.

KW - Atypical development

KW - Child speech acoustics

KW - Russian language

KW - Speech ontogenesis

KW - Typical development

UR - http://www.scopus.com/inward/record.url?scp=85099221102&partnerID=8YFLogxK

U2 - 10.1145/3395035.3425183

DO - 10.1145/3395035.3425183

M3 - Conference contribution

AN - SCOPUS:85099221102

T3 - ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction

SP - 514

EP - 521

BT - ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction

PB - Association for Computing Machinery

T2 - 2020 International Conference on Multimodal Interaction, ICMI 2020

Y2 - 25 October 2020 through 29 October 2020

ER -

ID: 73153980