Reading Behaviors through Patterns of Finger-Tracking in Italian Children with Autism Spectrum Disorder.

autism developing readers finger-tracking prediction-driven processing reading

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
29 Sep 2022
Historique:
received: 21 07 2022
revised: 13 09 2022
accepted: 26 09 2022
entrez: 27 10 2022
pubmed: 28 10 2022
medline: 28 10 2022
Statut: epublish

Résumé

The paper proposes an ecological and portable protocol for the large-scale collection of reading data in high-functioning autism spectrum disorder (ASD) children based on recording the finger movements of a subject reading a text displayed on a tablet touchscreen. By capitalizing on recent evidence that movements of a finger that points to a scene or text during visual exploration or reading may approximate eye fixations, we focus on recognition of written content and function words, pace of reading, and accuracy in reading comprehension. The analysis showed significant differences between typically developing and ASD children, with the latter group exhibiting greater variation in levels of reading ability, slower developmental pace in reading speed, less accurate comprehension, greater dependency on word length and word frequency, less significant prediction-based processing, as well as a monotonous, steady reading pace with reduced attention to weak punctuation. Finger-tracking patterns provides evidence that ASD readers may fail to integrate single word processing into major syntactic structures and lends support to the hypothesis of an impaired use of contextual information to predict upcoming stimuli, suggesting that difficulties in perception may arise as difficulties in prediction.

Identifiants

pubmed: 36291249
pii: brainsci12101316
doi: 10.3390/brainsci12101316
pmc: PMC9599730
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Claudia Marzi (C)

Institute for Computational Linguistics, National Research Council, 56124 Pisa, Italy.

Antonio Narzisi (A)

IRCCS Stella Maris Foundation, 56018 Pisa, Italy.

Annarita Milone (A)

IRCCS Stella Maris Foundation, 56018 Pisa, Italy.

Gabriele Masi (G)

IRCCS Stella Maris Foundation, 56018 Pisa, Italy.

Vito Pirrelli (V)

Institute for Computational Linguistics, National Research Council, 56124 Pisa, Italy.

Classifications MeSH