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Détail de l'auteur
Auteur R. E. AIELLO |
Documents disponibles écrits par cet auteur (2)
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A pilot investigation of an iOS-based app for toilet training children with autism spectrum disorder / D. W. MRUZEK in Autism, 23-2 (February 2019)
[article]
Titre : A pilot investigation of an iOS-based app for toilet training children with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : D. W. MRUZEK, Auteur ; S. MCALEAVEY, Auteur ; W. A. LORING, Auteur ; Eric BUTTER, Auteur ; T. SMITH, Auteur ; E. MCDONNELL, Auteur ; L. LEVATO, Auteur ; Courtney A. APONTE, Auteur ; R. P. TRAVIS, Auteur ; R. E. AIELLO, Auteur ; C. M. TAYLOR, Auteur ; J. W. WILKINS, Auteur ; P. CORBETT-DICK, Auteur ; D. M. FINKELSTEIN, Auteur ; A. M. YORK, Auteur ; K. ZANIBBI, Auteur Article en page(s) : p.359-370 Langues : Anglais (eng) Mots-clés : autism spectrum disorder enuresis randomized controlled trial technology toilet training urine alarm Index. décimale : PER Périodiques Résumé : We developed an iOS-based app with a transmitter/disposable sensor and corresponding manualized intervention for children with autism spectrum disorder. The app signaled the onset of urination, time-stamped accidents for analysis, reminded parents to reinforce intervals of continence, provided a visual outlet for parents to communicate reinforcement, and afforded opportunity for timely feedback from clinicians. We compared this intervention with an intervention that uses standard behavioral treatment in a pilot randomized controlled trial of 33 children with autism spectrum disorder aged 3-6 years with urinary incontinence. Parents in both groups received initial training and four booster consultations over 3 months. Results support the feasibility of parent-mediated toilet training studies (e.g., 84% retention rate, 92% fidelity of parent-implemented intervention). Parents used the app and related technology with few difficulties or malfunctions. There were no statistically significant group differences for rate of urine accidents, toilet usage, or satisfaction at close of intervention or 3-month follow-up; however, the alarm group trended toward greater rate of skill acquisition with significantly less day-to-day intervention. Further development of alarm and related technology and future comparative studies with a greater number of participants are warranted. En ligne : http://dx.doi.org/10.1177/1362361317741741 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=383
in Autism > 23-2 (February 2019) . - p.359-370[article] A pilot investigation of an iOS-based app for toilet training children with autism spectrum disorder [Texte imprimé et/ou numérique] / D. W. MRUZEK, Auteur ; S. MCALEAVEY, Auteur ; W. A. LORING, Auteur ; Eric BUTTER, Auteur ; T. SMITH, Auteur ; E. MCDONNELL, Auteur ; L. LEVATO, Auteur ; Courtney A. APONTE, Auteur ; R. P. TRAVIS, Auteur ; R. E. AIELLO, Auteur ; C. M. TAYLOR, Auteur ; J. W. WILKINS, Auteur ; P. CORBETT-DICK, Auteur ; D. M. FINKELSTEIN, Auteur ; A. M. YORK, Auteur ; K. ZANIBBI, Auteur . - p.359-370.
Langues : Anglais (eng)
in Autism > 23-2 (February 2019) . - p.359-370
Mots-clés : autism spectrum disorder enuresis randomized controlled trial technology toilet training urine alarm Index. décimale : PER Périodiques Résumé : We developed an iOS-based app with a transmitter/disposable sensor and corresponding manualized intervention for children with autism spectrum disorder. The app signaled the onset of urination, time-stamped accidents for analysis, reminded parents to reinforce intervals of continence, provided a visual outlet for parents to communicate reinforcement, and afforded opportunity for timely feedback from clinicians. We compared this intervention with an intervention that uses standard behavioral treatment in a pilot randomized controlled trial of 33 children with autism spectrum disorder aged 3-6 years with urinary incontinence. Parents in both groups received initial training and four booster consultations over 3 months. Results support the feasibility of parent-mediated toilet training studies (e.g., 84% retention rate, 92% fidelity of parent-implemented intervention). Parents used the app and related technology with few difficulties or malfunctions. There were no statistically significant group differences for rate of urine accidents, toilet usage, or satisfaction at close of intervention or 3-month follow-up; however, the alarm group trended toward greater rate of skill acquisition with significantly less day-to-day intervention. Further development of alarm and related technology and future comparative studies with a greater number of participants are warranted. En ligne : http://dx.doi.org/10.1177/1362361317741741 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=383 A scalable computational approach to assessing response to name in toddlers with autism / S. PEROCHON in Journal of Child Psychology and Psychiatry, 62-9 (September 2021)
[article]
Titre : A scalable computational approach to assessing response to name in toddlers with autism Type de document : Texte imprimé et/ou numérique Auteurs : S. PEROCHON, Auteur ; M. DI MARTINO, Auteur ; R. E. AIELLO, Auteur ; J. BAKER, Auteur ; Kimberly L. H. CARPENTER, Auteur ; Z. CHANG, Auteur ; S. COMPTON, Auteur ; N. DAVIS, Auteur ; B. EICHNER, Auteur ; S. ESPINOSA, Auteur ; J. FLOWERS, Auteur ; L. FRANZ, Auteur ; M. GAGLIANO, Auteur ; A. HARRIS, Auteur ; J. HOWARD, Auteur ; S. H. KOLLINS, Auteur ; E. M. PERRIN, Auteur ; P. RAJ, Auteur ; M. SPANOS, Auteur ; B. WALTER, Auteur ; G. SAPIRO, Auteur ; G. DAWSON, Auteur Article en page(s) : p.1120-1131 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis Autistic Disorder/diagnosis Child Child, Preschool Humans Infant Autism spectrum disorders assessment behavioral measures screening. Index. décimale : PER Périodiques Résumé : BACKGROUND: This study is part of a larger research program focused on developing objective, scalable tools for digital behavioral phenotyping. We evaluated whether a digital app delivered on a smartphone or tablet using computer vision analysis (CVA) can elicit and accurately measure one of the most common early autism symptoms, namely failure to respond to a name call. METHODS: During a pediatric primary care well-child visit, 910 toddlers, 17-37 months old, were administered an app on an iPhone or iPad consisting of brief movies during which the child's name was called three times by an examiner standing behind them. Thirty-seven toddlers were subsequently diagnosed with autism spectrum disorder (ASD). Name calls and children's behavior were recorded by the camera embedded in the device, and children's head turns were coded by both CVA and a human. RESULTS: CVA coding of response to name was found to be comparable to human coding. Based on CVA, children with ASD responded to their name significantly less frequently than children without ASD. CVA also revealed that children with ASD who did orient to their name exhibited a longer latency before turning their head. Combining information about both the frequency and the delay in response to name improved the ability to distinguish toddlers with and without ASD. CONCLUSIONS: A digital app delivered on an iPhone or iPad in real-world settings using computer vision analysis to quantify behavior can reliably detect a key early autism symptom-failure to respond to name. Moreover, the higher resolution offered by CVA identified a delay in head turn in toddlers with ASD who did respond to their name. Digital phenotyping is a promising methodology for early assessment of ASD symptoms. En ligne : http://dx.doi.org/10.1111/jcpp.13381 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456
in Journal of Child Psychology and Psychiatry > 62-9 (September 2021) . - p.1120-1131[article] A scalable computational approach to assessing response to name in toddlers with autism [Texte imprimé et/ou numérique] / S. PEROCHON, Auteur ; M. DI MARTINO, Auteur ; R. E. AIELLO, Auteur ; J. BAKER, Auteur ; Kimberly L. H. CARPENTER, Auteur ; Z. CHANG, Auteur ; S. COMPTON, Auteur ; N. DAVIS, Auteur ; B. EICHNER, Auteur ; S. ESPINOSA, Auteur ; J. FLOWERS, Auteur ; L. FRANZ, Auteur ; M. GAGLIANO, Auteur ; A. HARRIS, Auteur ; J. HOWARD, Auteur ; S. H. KOLLINS, Auteur ; E. M. PERRIN, Auteur ; P. RAJ, Auteur ; M. SPANOS, Auteur ; B. WALTER, Auteur ; G. SAPIRO, Auteur ; G. DAWSON, Auteur . - p.1120-1131.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 62-9 (September 2021) . - p.1120-1131
Mots-clés : Autism Spectrum Disorder/diagnosis Autistic Disorder/diagnosis Child Child, Preschool Humans Infant Autism spectrum disorders assessment behavioral measures screening. Index. décimale : PER Périodiques Résumé : BACKGROUND: This study is part of a larger research program focused on developing objective, scalable tools for digital behavioral phenotyping. We evaluated whether a digital app delivered on a smartphone or tablet using computer vision analysis (CVA) can elicit and accurately measure one of the most common early autism symptoms, namely failure to respond to a name call. METHODS: During a pediatric primary care well-child visit, 910 toddlers, 17-37 months old, were administered an app on an iPhone or iPad consisting of brief movies during which the child's name was called three times by an examiner standing behind them. Thirty-seven toddlers were subsequently diagnosed with autism spectrum disorder (ASD). Name calls and children's behavior were recorded by the camera embedded in the device, and children's head turns were coded by both CVA and a human. RESULTS: CVA coding of response to name was found to be comparable to human coding. Based on CVA, children with ASD responded to their name significantly less frequently than children without ASD. CVA also revealed that children with ASD who did orient to their name exhibited a longer latency before turning their head. Combining information about both the frequency and the delay in response to name improved the ability to distinguish toddlers with and without ASD. CONCLUSIONS: A digital app delivered on an iPhone or iPad in real-world settings using computer vision analysis to quantify behavior can reliably detect a key early autism symptom-failure to respond to name. Moreover, the higher resolution offered by CVA identified a delay in head turn in toddlers with ASD who did respond to their name. Digital phenotyping is a promising methodology for early assessment of ASD symptoms. En ligne : http://dx.doi.org/10.1111/jcpp.13381 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456