Brief Report: Evaluating the Utility of Varied Technological Agents to Elicit Social Attention from Children with Autism Spectrum Disorders / H. KUMAZAKI in Journal of Autism and Developmental Disorders, 49-4 (April 2019)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 49-4 (April 2019) . - p.1700-1708 Titre : Brief Report: Evaluating the Utility of Varied Technological Agents to Elicit Social Attention from Children with Autism Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : H. KUMAZAKI, Auteur ; Zachary WARREN, Auteur ; A. SWANSON, Auteur ; Y. YOSHIKAWA, Auteur ; Y. MATSUMOTO, Auteur ; Y. YOSHIMURA, Auteur ; J. SHIMAYA, Auteur ; H. ISHIGURO, Auteur ; N. SARKAR, Auteur ; J. WADE, Auteur ; M. MIMURA, Auteur ; Y. MINABE, Auteur ; M. KIKUCHI, Auteur Article en page(s) : p.1700-1708 Langues : Anglais (eng) Mots-clés : Android robot  Autism spectrum disorders  Digital avatar  Robot  Technological agents Index. décimale : PER Périodiques Résumé : Technological agents could be effective tools to be used in interventions for enhancing social orienting for some young children with ASD. We examined response to social bids in preschool children with ASD and typical development (TD) at a very early age (i.e., around 3 years) using social prompts presented by technological agents of various forms and human comparisons. Children with ASD demonstrated less response overall to social bids compared to TD controls, across agents or human. They responded more often to a simple humanoid robot and the simple avatar compared to the human. These results support the potential utilization of specific robotic and technological agents for harnessing and potentially increasing motivation to socially-relevant behaviors in some young children with ASD. En ligne : https://dx.doi.org/10.1007/s10803-018-3841-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=388 [article] Brief Report: Evaluating the Utility of Varied Technological Agents to Elicit Social Attention from Children with Autism Spectrum Disorders [Texte imprimé et/ou numérique] / H. KUMAZAKI, Auteur ; Zachary WARREN, Auteur ; A. SWANSON, Auteur ; Y. YOSHIKAWA, Auteur ; Y. MATSUMOTO, Auteur ; Y. YOSHIMURA, Auteur ; J. SHIMAYA, Auteur ; H. ISHIGURO, Auteur ; N. SARKAR, Auteur ; J. WADE, Auteur ; M. MIMURA, Auteur ; Y. MINABE, Auteur ; M. KIKUCHI, Auteur . - p.1700-1708. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 49-4 (April 2019) . - p.1700-1708 Mots-clés : Android robot  Autism spectrum disorders  Digital avatar  Robot  Technological agents Index. décimale : PER Périodiques Résumé : Technological agents could be effective tools to be used in interventions for enhancing social orienting for some young children with ASD. We examined response to social bids in preschool children with ASD and typical development (TD) at a very early age (i.e., around 3 years) using social prompts presented by technological agents of various forms and human comparisons. Children with ASD demonstrated less response overall to social bids compared to TD controls, across agents or human. They responded more often to a simple humanoid robot and the simple avatar compared to the human. These results support the potential utilization of specific robotic and technological agents for harnessing and potentially increasing motivation to socially-relevant behaviors in some young children with ASD. En ligne : https://dx.doi.org/10.1007/s10803-018-3841-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=388

A Pilot Study Assessing Performance and Visual Attention of Teenagers with ASD in a Novel Adaptive Driving Simulator / J. WADE in Journal of Autism and Developmental Disorders, 47-11 (November 2017)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 47-11 (November 2017) . - p.3405-3417 Titre : A Pilot Study Assessing Performance and Visual Attention of Teenagers with ASD in a Novel Adaptive Driving Simulator Type de document : Texte imprimé et/ou numérique Auteurs : J. WADE, Auteur ; A. WEITLAUF, Auteur ; Neill A. BRODERICK, Auteur ; A. SWANSON, Auteur ; L. ZHANG, Auteur ; D. BIAN, Auteur ; M. SARKAR, Auteur ; Zachary WARREN, Auteur ; N. SARKAR, Auteur Article en page(s) : p.3405-3417 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders  Driving intervention  Driving simulation  Gaze-sensitive Index. décimale : PER Périodiques Résumé : Individuals with Autism Spectrum Disorder (ASD), compared to typically-developed peers, may demonstrate behaviors that are counter to safe driving. The current work examines the use of a novel simulator in two separate studies. Study 1 demonstrates statistically significant performance differences between individuals with (N = 7) and without ASD (N = 7) with regards to the number of turning-related driving errors (p < 0.01). Study 2 shows that both the performance-based feedback group (N = 9) and combined performance- and gaze-sensitive feedback group (N = 8) achieved statistically significant reductions in driving errors following training (p < 0.05). These studies are the first to present results of fine-grained measures of visual attention of drivers and an adaptive driving intervention for individuals with ASD. En ligne : http://dx.doi.org/10.1007/s10803-017-3261-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=324 [article] A Pilot Study Assessing Performance and Visual Attention of Teenagers with ASD in a Novel Adaptive Driving Simulator [Texte imprimé et/ou numérique] / J. WADE, Auteur ; A. WEITLAUF, Auteur ; Neill A. BRODERICK, Auteur ; A. SWANSON, Auteur ; L. ZHANG, Auteur ; D. BIAN, Auteur ; M. SARKAR, Auteur ; Zachary WARREN, Auteur ; N. SARKAR, Auteur . - p.3405-3417. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 47-11 (November 2017) . - p.3405-3417 Mots-clés : Autism spectrum disorders  Driving intervention  Driving simulation  Gaze-sensitive Index. décimale : PER Périodiques Résumé : Individuals with Autism Spectrum Disorder (ASD), compared to typically-developed peers, may demonstrate behaviors that are counter to safe driving. The current work examines the use of a novel simulator in two separate studies. Study 1 demonstrates statistically significant performance differences between individuals with (N = 7) and without ASD (N = 7) with regards to the number of turning-related driving errors (p < 0.01). Study 2 shows that both the performance-based feedback group (N = 9) and combined performance- and gaze-sensitive feedback group (N = 8) achieved statistically significant reductions in driving errors following training (p < 0.05). These studies are the first to present results of fine-grained measures of visual attention of drivers and an adaptive driving intervention for individuals with ASD. En ligne : http://dx.doi.org/10.1007/s10803-017-3261-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=324

Toward Novel Tools for Autism Identification: Fusing Computational and Clinical Expertise / L. L. CORONA in Journal of Autism and Developmental Disorders, 51-11 (November 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-11 (November 2021) . - p.4003-4012 Titre : Toward Novel Tools for Autism Identification: Fusing Computational and Clinical Expertise Type de document : Texte imprimé et/ou numérique Auteurs : L. L. CORONA, Auteur ; L. WAGNER, Auteur ; J. WADE, Auteur ; Amy S. WEITLAUF, Auteur ; J. HINE, Auteur ; A. NICHOLSON, Auteur ; C. STONE, Auteur ; A. VEHORN, Auteur ; Zachary WARREN, Auteur Article en page(s) : p.4003-4012 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Child  Child, Preschool  Humans  Mass Screening  Outcome Assessment, Health Care  Assessment  Autism spectrum disorder  Machine learning  Young children  has served as a Consultant for Adaptive Technology Consulting and Roche. Dr.  Weitlauf has served as a Consultant for Adaptive Technology Consulting. Index. décimale : PER Périodiques Résumé : Barriers to identifying autism spectrum disorder (ASD) in young children in a timely manner have led to calls for novel screening and assessment strategies. Combining computational methods with clinical expertise presents an opportunity for identifying patterns within large clinical datasets that can inform new assessment paradigms. The present study describes an analytic approach used to identify key features predictive of ASD in young children, drawn from large amounts of data from comprehensive diagnostic evaluations. A team of expert clinicians used these predictive features to design a set of assessment activities allowing for observation of these core behaviors. The resulting brief assessment underlies several novel approaches to the identification of ASD that are the focus of ongoing research. En ligne : http://dx.doi.org/10.1007/s10803-020-04857-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=454 [article] Toward Novel Tools for Autism Identification: Fusing Computational and Clinical Expertise [Texte imprimé et/ou numérique] / L. L. CORONA, Auteur ; L. WAGNER, Auteur ; J. WADE, Auteur ; Amy S. WEITLAUF, Auteur ; J. HINE, Auteur ; A. NICHOLSON, Auteur ; C. STONE, Auteur ; A. VEHORN, Auteur ; Zachary WARREN, Auteur . - p.4003-4012. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-11 (November 2021) . - p.4003-4012 Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Child  Child, Preschool  Humans  Mass Screening  Outcome Assessment, Health Care  Assessment  Autism spectrum disorder  Machine learning  Young children  has served as a Consultant for Adaptive Technology Consulting and Roche. Dr.  Weitlauf has served as a Consultant for Adaptive Technology Consulting. Index. décimale : PER Périodiques Résumé : Barriers to identifying autism spectrum disorder (ASD) in young children in a timely manner have led to calls for novel screening and assessment strategies. Combining computational methods with clinical expertise presents an opportunity for identifying patterns within large clinical datasets that can inform new assessment paradigms. The present study describes an analytic approach used to identify key features predictive of ASD in young children, drawn from large amounts of data from comprehensive diagnostic evaluations. A team of expert clinicians used these predictive features to design a set of assessment activities allowing for observation of these core behaviors. The resulting brief assessment underlies several novel approaches to the identification of ASD that are the focus of ongoing research. En ligne : http://dx.doi.org/10.1007/s10803-020-04857-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=454

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