Visual perceptual salience and novel referent selection in children with and without autism spectrum disorder

Do focused interests support word learning? A study with autistic and nonautistic children

Although focused interests are often associated with a diagnosis of autism, they are common in nonautistic individuals as well. Previous studies have explored how these interests impact cognitive, social, and language development. While some research has suggested that strong interests can detract from learning (particularly for autistic children), newer research has indicated that they can be advantageous. In this pre-registered study, we asked whether focused interests support word learning in 44 autistic children and a vocabulary-matched sample of 44 nonautistic children (mean ages 58 and 34 months respectively). In a word-learning task administered over Zoom, children were exposed to an action labeled by a novel word. The action was either depicted by their focused interest or by a neutral image; stimuli were personalized for each child. At test, they were asked to identify the referent of the novel word, and their eye gaze was evaluated as a measure of learning. The preregistered analyses revealed an effect of focused interests, and post-hoc analyses clarified that autistic children learned the novel word in both the focused interest and neutral conditions, while nonautistic children only showed evidence of learning in the neutral condition. These results suggest that focused interests are not disruptive for vocabulary learning in autism, and thus they could be utilized in programming that supports early language learning in this population.

Touch to learn: Multisensory input supports word learning and processing

Infants experience language in rich multisensory environments. For example, they may first be exposed to the word applesauce while touching, tasting, smelling, and seeing applesauce. In three experiments using different methods we asked whether the number of distinct senses linked with the semantic features of objects would impact word recognition and learning. Specifically, in Experiment 1 we asked whether words linked with more multisensory experiences were learned earlier than words linked fewer multisensory experiences. In Experiment 2, we asked whether 2-year-olds' known words linked with more multisensory experiences were better recognized than those linked with fewer. Finally, in Experiment 3, we taught 2-year-olds labels for novel objects that were linked with either just visual or visual and tactile experiences and asked whether this impacted their ability to learn the new label-to-object mappings. Results converge to support an account in which richer multisensory experiences better support word learning. We discuss two pathways through which rich multisensory experiences might support word learning.

The role of imageability in noun and verb acquisition in children with Down syndrome and their peers with typical development

Our main objective was to analyze the role of imageability in relation to the age of acquisition (AoA) of nouns and verbs in Spanish-speaking children with Down syndrome (DS) and their peers with typical development (TD). The AoA of nouns and verbs was determined using the MacArthur-Bates CDIs adapted to the profile of children with DS. The AoA was analyzed using a linear mixed-effect model, including factors of imageability, group, and word class, and controlling for word frequency and word length. This analysis showed that high imaginable and short words were acquired early. Children with DS acquired the words later than TD peers. An interaction between imageability and group indicated that the effect of imageability was greater in the DS group. We discuss this effect considering DS children's phonological memory difficulties. The overall results confirm the role that imageability and word length play in lexical acquisition, an effect that goes beyond word class.

Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal

BACKGROUND

Autism Spectrum Disorder (ASD) diagnosis can be aided by approaches based on eye-tracking signals. Recently, the feasibility of building Visual Attention Models (VAMs) from features extracted from visual stimuli and their use for classifying cases and controls has been demonstrated using Neural Networks and Support Vector Machines. The present work has three aims: 1) to evaluate whether the trained classifier from the previous study was generalist enough to classify new samples with a new stimulus; 2) to replicate the previously approach to train a new classifier with a new dataset; 3) to evaluate the performance of classifiers obtained by a new classification algorithm (Random Forest) using the previous and the current datasets.

METHODS

The previously approach was replicated with a new stimulus and new sample, 44 from the Typical Development group and 33 from the ASD group. After the replication, Random Forest classifier was tested to substitute Neural Networks algorithm.

RESULTS

The test with the trained classifier reached an AUC of 0.56, suggesting that the trained classifier requires retraining of the VAMs when changing the stimulus. The replication results reached an AUC of 0.71, indicating the potential of generalization of the approach for aiding ASD diagnosis, as long as the stimulus is similar to the originally proposed. The results achieved with Random Forest were superior to those achieved with the original approach, with an average AUC of 0.95 for the previous dataset and 0.74 for the new dataset.

CONCLUSION

In summary, the results of the replication experiment were satisfactory, which suggests the robustness of the approach and the VAM-based approaches feasibility to aid in ASD diagnosis. The proposed method change improved the classification performance. Some limitations are discussed and additional studies are encouraged to test other conditions and scenarios.

Parent Certainty and Consistency When Completing Vocabulary Checklists in Young Autistic Children

PURPOSE

Using a novel parent report measure, this study investigated whether asking parents to rate their certainty when reporting on child vocabulary skills provided additional insight into parent report and emerging language abilities in young autistic children. Specifically, we investigated whether parent certainty varied based on whether the child was reported to understand, understand and say, or neither understand nor say the word and whether standardized measures of expressive and receptive language abilities and/or autistic traits predicted parent certainty. Lastly, we investigated whether certainty was associated with inconsistency in parent report of child word knowledge.

METHOD

Twenty-one parents and their autistic children ages 2-5 years participated. One parent per child completed the MacArthur-Bates Communicative Development Inventories (MCDI) Words and Gestures form and a custom vocabulary checklist including 24 object nouns from the MCDI. Within the custom form, parents indicated whether their child understood, understood and said, or neither understood nor said 24 target nouns and reported how certain they were about their responses using a 5-point scale. Expressive language, receptive language, and autistic traits were measured via direct assessment using standardized measures.

RESULTS

Parent certainty varied widely and was higher for words the parents reported the children understood and said compared to that for words children either understood or neither understood nor said. Certainty ratings were higher when a child had higher standardized receptive and expressive language scores. Lastly, parent certainty was associated with reporting consistency, clarifying previous findings of inconsistencies in parent report of child vocabulary.

CONCLUSION

Findings from this study indicate that measuring parent certainty provides critical information when assessing early vocabulary skills in autistic children.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.23671497.