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Détail de l'auteur
Auteur Amanda M. O'BRIEN |
Documents disponibles écrits par cet auteur (2)
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Brief Report: Just-in-Time Visual Supports to Children with Autism via the Apple Watch:® A Pilot Feasibility Study / Amanda M. O'BRIEN in Journal of Autism and Developmental Disorders, 46-12 (December 2016)
[article]
Titre : Brief Report: Just-in-Time Visual Supports to Children with Autism via the Apple Watch:® A Pilot Feasibility Study Type de document : Texte imprimé et/ou numérique Auteurs : Amanda M. O'BRIEN, Auteur ; Ralf W. SCHLOSSER, Auteur ; Howard C. SHANE, Auteur ; Jennifer ABRAMSON, Auteur ; Anna A. ALLEN, Auteur ; Suzanne FLYNN, Auteur ; Christina YU, Auteur ; Katherine DIMERY, Auteur Article en page(s) : p.3818-3823 Langues : Anglais (eng) Mots-clés : Autism Instruction following Just-in-time Technology Visual supports Index. décimale : PER Périodiques Résumé : Using augmented input might be an effective means for supplementing spoken language for children with autism who have difficulties following spoken directives. This study aimed to (a) explore whether JIT-delivered scene cues (photos, video clips) via the Apple Watch® enable children with autism to carry out directives they were unable to implement with speech alone, and (b) test the feasibility of the Apple Watch® (with a focus on display size). Results indicated that the hierarchical JIT supports enabled five children with autism to carry out the majority of directives. Hence, the relatively small display size of the Apple Watch does not seem to hinder children with autism to glean critical information from visual supports. En ligne : http://dx.doi.org/10.1007/s10803-016-2891-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297
in Journal of Autism and Developmental Disorders > 46-12 (December 2016) . - p.3818-3823[article] Brief Report: Just-in-Time Visual Supports to Children with Autism via the Apple Watch:® A Pilot Feasibility Study [Texte imprimé et/ou numérique] / Amanda M. O'BRIEN, Auteur ; Ralf W. SCHLOSSER, Auteur ; Howard C. SHANE, Auteur ; Jennifer ABRAMSON, Auteur ; Anna A. ALLEN, Auteur ; Suzanne FLYNN, Auteur ; Christina YU, Auteur ; Katherine DIMERY, Auteur . - p.3818-3823.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 46-12 (December 2016) . - p.3818-3823
Mots-clés : Autism Instruction following Just-in-time Technology Visual supports Index. décimale : PER Périodiques Résumé : Using augmented input might be an effective means for supplementing spoken language for children with autism who have difficulties following spoken directives. This study aimed to (a) explore whether JIT-delivered scene cues (photos, video clips) via the Apple Watch® enable children with autism to carry out directives they were unable to implement with speech alone, and (b) test the feasibility of the Apple Watch® (with a focus on display size). Results indicated that the hierarchical JIT supports enabled five children with autism to carry out the majority of directives. Hence, the relatively small display size of the Apple Watch does not seem to hinder children with autism to glean critical information from visual supports. En ligne : http://dx.doi.org/10.1007/s10803-016-2891-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297 Prediction in Autism Spectrum Disorder: A Systematic Review of Empirical Evidence / Jonathan CANNON in Autism Research, 14-4 (April 2021)
[article]
Titre : Prediction in Autism Spectrum Disorder: A Systematic Review of Empirical Evidence Type de document : Texte imprimé et/ou numérique Auteurs : Jonathan CANNON, Auteur ; Amanda M. O'BRIEN, Auteur ; Lindsay BUNGERT, Auteur ; Pawan SINHA, Auteur Article en page(s) : p.604-630 Langues : Anglais (eng) Mots-clés : autism spectrum disorder brain learning perception prediction Index. décimale : PER Périodiques Résumé : According to a recent influential proposal, several phenotypic features of autism spectrum disorder (ASD) may be accounted for by differences in predictive skills between individuals with ASD and neurotypical individuals. In this systematic review, we describe results from 47 studies that have empirically tested this hypothesis. We assess the results based on two observable aspects of prediction: learning a pairing between an antecedent and a consequence and responding to an antecedent in a predictive manner. Taken together, these studies suggest distinct differences in both predictive learning and predictive response. Studies documenting differences in learning predictive pairings indicate challenges in detecting such relationships especially when predictive features of an antecedent have low salience or consistency, and studies showing differences in habituation and perceptual adaptation suggest low-level predictive processing differences in ASD. These challenges may account for the observed differences in the influence of predictive priors, in spontaneous predictive movement or gaze, and in social prediction. An important goal for future research will be to better define and constrain the broad domain-general hypothesis by testing multiple types of prediction within the same individuals. Additional promising avenues include studying prediction within naturalistic contexts and assessing the effect of prediction-based intervention on supporting functional outcomes for individuals with ASD. LAY SUMMARY: Researchers have suggested that many features of autism spectrum disorder (ASD) may be explained by differences in the prediction skills of people with ASD. We review results from 47 studies. These studies suggest that ASD may be associated with differences in the learning of predictive pairings (e.g., learning cause and effect) and in low-level predictive processing in the brain (e.g., processing repeated sounds). These findings lay the groundwork for research that can improve our understanding of ASD and inform interventions. Autism Res 2021, 14: 604-630. © 2021 International Society for Autism Research and Wiley Periodicals LLC. En ligne : http://dx.doi.org/10.1002/aur.2482 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=443
in Autism Research > 14-4 (April 2021) . - p.604-630[article] Prediction in Autism Spectrum Disorder: A Systematic Review of Empirical Evidence [Texte imprimé et/ou numérique] / Jonathan CANNON, Auteur ; Amanda M. O'BRIEN, Auteur ; Lindsay BUNGERT, Auteur ; Pawan SINHA, Auteur . - p.604-630.
Langues : Anglais (eng)
in Autism Research > 14-4 (April 2021) . - p.604-630
Mots-clés : autism spectrum disorder brain learning perception prediction Index. décimale : PER Périodiques Résumé : According to a recent influential proposal, several phenotypic features of autism spectrum disorder (ASD) may be accounted for by differences in predictive skills between individuals with ASD and neurotypical individuals. In this systematic review, we describe results from 47 studies that have empirically tested this hypothesis. We assess the results based on two observable aspects of prediction: learning a pairing between an antecedent and a consequence and responding to an antecedent in a predictive manner. Taken together, these studies suggest distinct differences in both predictive learning and predictive response. Studies documenting differences in learning predictive pairings indicate challenges in detecting such relationships especially when predictive features of an antecedent have low salience or consistency, and studies showing differences in habituation and perceptual adaptation suggest low-level predictive processing differences in ASD. These challenges may account for the observed differences in the influence of predictive priors, in spontaneous predictive movement or gaze, and in social prediction. An important goal for future research will be to better define and constrain the broad domain-general hypothesis by testing multiple types of prediction within the same individuals. Additional promising avenues include studying prediction within naturalistic contexts and assessing the effect of prediction-based intervention on supporting functional outcomes for individuals with ASD. LAY SUMMARY: Researchers have suggested that many features of autism spectrum disorder (ASD) may be explained by differences in the prediction skills of people with ASD. We review results from 47 studies. These studies suggest that ASD may be associated with differences in the learning of predictive pairings (e.g., learning cause and effect) and in low-level predictive processing in the brain (e.g., processing repeated sounds). These findings lay the groundwork for research that can improve our understanding of ASD and inform interventions. Autism Res 2021, 14: 604-630. © 2021 International Society for Autism Research and Wiley Periodicals LLC. En ligne : http://dx.doi.org/10.1002/aur.2482 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=443