Quantitative analysis of disfluency in children with autism spectrum disorder or language impairment
Open accessAbstract
Deficits in social communication, particularly pragmatic language, are characteristic of individuals with autism spectrum disorder (ASD). Speech disfluencies may serve pragmatic functions such as cueing speaking problems. Previous studies have found that speakers with ASD differ from typically developing (TD) speakers in the types and patterns of disfluencies they produce, but fail to provide sufficiently detailed characterizations of the methods used to categorize and quantify disfluency, making cross-study comparison difficult. In this study we propose a simple schema for classifying major disfluency types, and use this schema in an exploratory analysis of differences in disfluency rates and patterns among children with ASD compared to TD and language impaired (SLI) groups. 115 children ages 4-8 participated in the study (ASD = 51; SLI = 20; TD = 44), completing a battery of experimental tasks and assessments. Measures of morphological and syntactic complexity, as well as word and disfluency counts, were derived from transcripts of the Autism Diagnostic Observation Schedule (ADOS). High inter-annotator agreement was obtained with the use of the proposed schema. Analyses showed ASD children produced a higher ratio of content to filler disfluencies than TD children. Relative frequencies of repetitions, revisions, and false starts did not differ significantly between groups. TD children also produced more cued disfluencies than ASD children.
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Children and adults with ASD produce unusually high rates of various speech disfluencies.
“A significant body of research suggests that children and adults with ASD produce unusually high rates of various speech disfluencies [16, 35, 42, 50, 51, 54], but only three studies have specifically examined UM and UH.”
From Linguistic camouflage in girls with autism spectrum disorder (2017) · cites this paper as [42]
Language samples drawn from the interview section of the ADOS module 3 provide a naturalistic back-and-forth conversation about social topics and contain meaningful rates of speech disfluencies in children with ASD.
“These samples provide a naturalistic back-and-forth conversation about social topics, and have been shown to contain meaningful rates of speech disfluencies in children with ASD [24, 26, 42].”
From Linguistic camouflage in girls with autism spectrum disorder (2017) · cites this paper as [42]
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“A significant body of research suggests that children and adults with ASD produce unusually high rates of various speech disfluencies [16, 35, 42, 50, 51, 54], but only three studies have specifically examined UM and UH.”
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Lawley, G. O., Bedrick, S. D., MacFarlane, H., Dolata, J. K., Salem, A. C., & Fombonne, E. J. (2022) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05565-4 · Cited by 10 · see citing works
Self-citationFichman, S., & Altman, C. (2023) · Clinical Linguistics & Phonetics · doi:10.1080/02699206.2023.2204511 · Cited by 9 · see citing works
“…their locus, such as whether the disfluency comes at the beginning of an utterance, clause, or phrase, has been argued to be indicative of utterance planning processes and thus important to include in an analysis of fluency (MacFarlane et al., 2017; Postma et al., 1990; Schmid & Fägersten, 2010).”
BackgroundA random walk model to evaluate autism
Moura, T. R. D. S., Fulco, U. L., & Albuquerque, E. L. (2017) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2017.11.090 · Cited by 9 · see citing works
Maltman, N., Friedman, L., Lorang, E. K., & Sterling, A. M. (2021) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-021-04981-2 · Cited by 9 · see citing works
Automatic speaker diarization for natural conversation analysis in autism clinical trials
O’Sullivan, J., Bogaarts, G., Schoenenberger, P., Tillmann, J., Slater, D., Mesgarani, N., Eule, E., Kilchenmann, T., Murtagh, L., Hipp, J. F., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-36701-4 · Cited by 8 · see citing works
Clin, É., & Kissine, M. (2023) · Journal of Speech Language and Hearing Research · doi:10.1044/2023_jslhr-23-00002 · Cited by 6 · see citing works
Analysis of Disfluency in Children’s Speech
Tran, T., Tinkler, M., Yeung, G., Alwan, A. A., & Mari Ostendorf, E. (2020) · Interspeech (USB) · doi:10.21437/interspeech.2020-3037 · Cited by 5 · see citing works
“signs of autism spectrum disorder [1], attentiondeficit/hyperactivity disorder [2], or language disorders [3], most commonly stuttering [4, 5, 6].”
BackgroundPalin parent-child interaction therapy with children with autism spectrum disorder and stuttering
Preston, R., Halpin, M., Clarke, G., & Millard, S. K. (2022) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2022.106217 · Cited by 6 · see citing works
Autism Spectrum Disorder and BRIEF-P: A Review and Meta-Analysis
Herreras, E. B. (2024) · Children · doi:10.3390/children11080978 · Cited by 4 · see citing works
Speaker Versus Listener-Oriented Disfluency
Engelhardt, P. E. (2021) · Springer eBooks · doi:10.1007/978-3-319-91280-6_102369 · Cited by 3 · see citing works
Uh and um in autism: The case of hesitation marker usage in Dutch-speaking autistic preschoolers
Muès, M., Demurie, E., Erdogan, M., Schaubroeck, S., Krol, M. A., Goodwin, A., Buitelaar, J. K., Loth, E., & Roeyers, H. (2024) · Journal of Child Language · doi:10.1017/s0305000924000321 · Cited by 2 · see citing works
“Autistic children also have a higher ratio of content to hesitation markers than non-autistic children (MacFarlane et al., 2017).”
Friedman, L., Maltman, N., Sterling, A. M., Hudock, R. L., & DaWalt, L. S. (2025) · Journal of Speech Language and Hearing Research · doi:10.1044/2025_jslhr-24-00409 · Cited by 2 · see citing works
Paphiti, M., Talias, Μ. A., & Eggers, K. (2024) · American Journal of Speech-Language Pathology · doi:10.1044/2024_ajslp-23-00242 · Cited by 2 · see citing works
Artificial disfluency detection, uh no, disfluency generation for the masses
Passali, T., Mavropoulos, T., Tsoumakas, G., Μεδίτσκος, Γ., & Vrochidis, S. (2024) · Computer Speech & Language · doi:10.1016/j.csl.2024.101711 · Cited by 2 · see citing works
Speaker Versus Listener-Oriented Disfluency
Engelhardt, P. E. (2020) · Springer eBooks · doi:10.1007/978-1-4614-6435-8_102369-1 · Cited by 2 · see citing works
Beradze, M., & Meir, N. (2024) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-024-06533-w · Cited by 1 · see citing works
“However, MacFarlane et al. (2017), McGregor and Hadden (2020), and Lawley et al. (2022) documented no links between filled pauses or the proportion of content disfluencies (those including content words) and social or pragmatic measures.”
InfluentialUsing generative AI for the objective assessment of language in healthcare
O’Sullivan, J., Garcés, P., Aponte, E. A., Tillmann, J., Chatham, C. H., Lipsmeier, F., & Nobbs, D. (2025) · Scientific Reports · doi:10.1038/s41598-025-26944-8 · Cited by 1 · see citing works
Wiklund, M. (2023) · Prosody, phonology and phonetics · doi:10.1007/978-981-19-8117-3_3
Chung, H., Kim, S., & Yim, D.-S. (2023) · Communication Sciences & Disorders · doi:10.12963/csd.23964 · Cited by 1 · see citing works
“(Engelhardt, Corley, Nigg, & Ferreira, 2010; Redmond, 2004), ASD 아동(MacFarlane et al., 2017)을 대상으로 집행기능(executive function)과 비유창성 간의 관계를 검토한 선행연구들이 있으 나, 이 연구들에서는 아동들의 집행기능을 연구자가 실험 과제를 사용하여 직접 평가한 것이 아니라, 연구 대상자가 설문지를 작성”
Hilker, C., Oleson, J., Tertyshnaia, M., McCreery, R. W., & Walker, E. A. (2025) · Behavioral Sciences · doi:10.3390/bs15081053
“…with atypical language acquisition, but almost all of those prior studies have focused on children with primary deficits in social communication, specifically children with ASD (Gorman et al., 2016; Irvine et al., 2016; MacFarlane et al., 2017; McGregor & Hadden, 2020; Parish-Morris et al., 2017).”
Gaever, M. V., & Eggers, K. (2025) · International Journal of Language & Communication Disorders · doi:10.1111/1460-6984.70184
Beradze, M., Meir, N., & Fichman, S. (2026) · Journal of Speech Language and Hearing Research · doi:10.1044/2025_jslhr-25-00255 · Cited by 1 · see citing works
Belenger, M., Dumont, C., Geelhand, P., & Kissine, M. (2026) · Journal of Speech Language and Hearing Research · doi:10.1044/2026_jslhr-25-00565
- Authors
- MacFarlane, H., Gorman, K., Ingham, R., Presmanes Hill, A., Papadakis, K., Kiss, G., & van Santen, J.
- Affiliations
- Oregon Health & Science University (US)
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-03-15
- Volume
- 12
- Issue
- 3
- Pages
- e0173936
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC5352011
- OpenAlex
- W2601558174
- Cited by
- 32
- References
- 94
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 5 · 2023: 6 · 2022: 3 · 2021: 4 · 2020: 3 · 2018: 2 · 2017: 3
- FWCI
- 4.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Autism Speaks
- Santen
- National Institutes of Health
- National Institute on Deafness and Other Communication Disorders (R01DC012033, R01DC007129)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Social Sciences › Psychology › Clinical Psychology › Stuttering Research and Treatment
- Keywords
- disfluency, autism spectrum disorder, language impairment, pragmatic language, repetition, revision, false starts, morphological complexity, syntactic complexity, children, inter-annotator agreement
- MeSH terms
- Autism Spectrum Disorder, Child, Child, Preschool, Female, Humans, Language Disorders, Male
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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