Brief Report: Evaluating the Utility of Varied Technological Agents to Elicit Social Attention from Children with Autism Spectrum Disorders / Hirokazu 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 Auteurs : Hirokazu KUMAZAKI, Auteur ; Zachary WARREN, Auteur ; Amy SWANSON, Auteur ; Yuichiro YOSHIKAWA, Auteur ; Yuki MATSUMOTO, Auteur ; Yuko YOSHIMURA, Auteur ; Jiro SHIMAYA, Auteur ; Hiroshi ISHIGURO, Auteur ; Nilanjan SARKAR, Auteur ; Joshua WADE, Auteur ; Masaru MIMURA, Auteur ; Yoshio MINABE, Auteur ; Mitsuru 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] / Hirokazu KUMAZAKI, Auteur ; Zachary WARREN, Auteur ; Amy SWANSON, Auteur ; Yuichiro YOSHIKAWA, Auteur ; Yuki MATSUMOTO, Auteur ; Yuko YOSHIMURA, Auteur ; Jiro SHIMAYA, Auteur ; Hiroshi ISHIGURO, Auteur ; Nilanjan SARKAR, Auteur ; Joshua WADE, Auteur ; Masaru MIMURA, Auteur ; Yoshio MINABE, Auteur ; Mitsuru 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

Development of a Novel Telemedicine Tool to Reduce Disparities Related to the Identification of Preschool Children with Autism / Liliana WAGNER ; Alison VEHORN ; Amy S. WEITLAUF ; Ambar Munoz LAVANDEROS ; Joshua WADE ; Laura L. CORONA ; Zachary WARREN in Journal of Autism and Developmental Disorders, 55-1 (January 2025)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 55-1 (January 2025) . - p.30-42 Titre : Development of a Novel Telemedicine Tool to Reduce Disparities Related to the Identification of Preschool Children with Autism : Journal of Autism and Developmental Disorders Type de document : texte imprimé Auteurs : Liliana WAGNER, Auteur ; Alison VEHORN, Auteur ; Amy S. WEITLAUF, Auteur ; Ambar Munoz LAVANDEROS, Auteur ; Joshua WADE, Auteur ; Laura L. CORONA, Auteur ; Zachary WARREN, Auteur Article en page(s) : p.30-42 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : The wait for ASD evaluation dramatically increases with age, with wait times of a year or more common as children reach preschool. Even when appointments become available, families from traditionally underserved groups struggle to access care. Addressing care disparities requires designing identification tools and processes specifically for and with individuals most at-risk for health inequities. This work describes the development of a novel telemedicine-based ASD assessment tool, the TELE-ASD-PEDS-Preschool (TAP-Preschool). We applied machine learning models to a clinical data set of preschoolers with ASD and other developmental concerns (n = 914) to generate behavioral targets that best distinguish ASD and non-ASD features. We conducted focus groups with clinicians, early interventionists, and parents of children with ASD from traditionally underrepresented racial/ethnic and linguistic groups. Focus group themes and machine learning analyses were used to generate a play-based instrument with assessment tasks and scoring procedures based on the child?s language (i.e., TAP-P Verbal, TAP-P Non-verbal). TAP-P procedures were piloted with 30 families. Use of the instrument in isolation (i.e., without history or collateral information) yielded accurate diagnostic classification in 63% of cases. Children with existing ASD diagnoses received higher TAP-P scores, relative to children with other developmental concerns. Clinician diagnostic accuracy and certainty were higher when confirming existing ASD diagnoses (80% agreement) than when ruling out ASD in children with other developmental concerns (30% agreement). Utilizing an equity approach to understand the functionality and impact of tele-assessment for preschool children has potential to transform the ASD evaluation process and improve care access. En ligne : https://doi.org/10.1007/s10803-023-06176-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=546 [article] Development of a Novel Telemedicine Tool to Reduce Disparities Related to the Identification of Preschool Children with Autism : Journal of Autism and Developmental Disorders [texte imprimé] / Liliana WAGNER, Auteur ; Alison VEHORN, Auteur ; Amy S. WEITLAUF, Auteur ; Ambar Munoz LAVANDEROS, Auteur ; Joshua WADE, Auteur ; Laura L. CORONA, Auteur ; Zachary WARREN, Auteur . - p.30-42. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 55-1 (January 2025) . - p.30-42 Index. décimale : PER Périodiques Résumé : The wait for ASD evaluation dramatically increases with age, with wait times of a year or more common as children reach preschool. Even when appointments become available, families from traditionally underserved groups struggle to access care. Addressing care disparities requires designing identification tools and processes specifically for and with individuals most at-risk for health inequities. This work describes the development of a novel telemedicine-based ASD assessment tool, the TELE-ASD-PEDS-Preschool (TAP-Preschool). We applied machine learning models to a clinical data set of preschoolers with ASD and other developmental concerns (n = 914) to generate behavioral targets that best distinguish ASD and non-ASD features. We conducted focus groups with clinicians, early interventionists, and parents of children with ASD from traditionally underrepresented racial/ethnic and linguistic groups. Focus group themes and machine learning analyses were used to generate a play-based instrument with assessment tasks and scoring procedures based on the child?s language (i.e., TAP-P Verbal, TAP-P Non-verbal). TAP-P procedures were piloted with 30 families. Use of the instrument in isolation (i.e., without history or collateral information) yielded accurate diagnostic classification in 63% of cases. Children with existing ASD diagnoses received higher TAP-P scores, relative to children with other developmental concerns. Clinician diagnostic accuracy and certainty were higher when confirming existing ASD diagnoses (80% agreement) than when ruling out ASD in children with other developmental concerns (30% agreement). Utilizing an equity approach to understand the functionality and impact of tele-assessment for preschool children has potential to transform the ASD evaluation process and improve care access. En ligne : https://doi.org/10.1007/s10803-023-06176-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=546

A new measure of child vocal reciprocity in children with autism spectrum disorder / Amy L. HARBISON in Autism Research, 11-6 (June 2018)  

Public ISBD [article]  inAutism Research > 11-6 (June 2018) . - p.903-915 Titre : A new measure of child vocal reciprocity in children with autism spectrum disorder Type de document : texte imprimé Auteurs : Amy L. HARBISON, Auteur ; Tiffany G. WOYNAROSKI, Auteur ; Jon TAPP, Auteur ; Joshua W. WADE, Auteur ; Anne S. WARLAUMONT, Auteur ; Paul J. YODER, Auteur Article en page(s) : p.903-915 Langues : Anglais (eng) Mots-clés : Lena  autism  automated vocal analysis  preschool  preverbal  reciprocity  vocalizations Index. décimale : PER Périodiques Résumé : Children's vocal development occurs in the context of reciprocal exchanges with a communication partner who models "speechlike" productions. We propose a new measure of child vocal reciprocity, which we define as the degree to which an adult vocal response increases the probability of an immediately following child vocal response. Vocal reciprocity is likely to be associated with the speechlikeness of vocal communication in young children with autism spectrum disorder (ASD). Two studies were conducted to test the utility of the new measure. The first used simulated vocal samples with randomly sequenced child and adult vocalizations to test the accuracy of the proposed index of child vocal reciprocity. The second was an empirical study of 21 children with ASD who were preverbal or in the early stages of language development. Daylong vocal samples collected in the natural environment were computer analyzed to derive the proposed index of child vocal reciprocity, which was highly stable when derived from two daylong vocal samples and was associated with speechlikeness of vocal communication. This association was significant even when controlling for chance probability of child vocalizations to adult vocal responses, probability of adult vocalizations, or probability of child vocalizations. A valid measure of children's vocal reciprocity might eventually improve our ability to predict which children are on track to develop useful speech and/or are most likely to respond to language intervention. A link to a free, publicly-available software program to derive the new measure of child vocal reciprocity is provided. Autism Res 2018, 11: 903-915. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Children and adults often engage in back-and-forth vocal exchanges. The extent to which they do so is believed to support children's early speech and language development. Two studies tested a new measure of child vocal reciprocity using computer-generated and real-life vocal samples of young children with autism collected in natural settings. The results provide initial evidence of accuracy, test-retest reliability, and validity of the new measure of child vocal reciprocity. A sound measure of children's vocal reciprocity might improve our ability to predict which children are on track to develop useful speech and/or are most likely to respond to language intervention. A free, publicly-available software program and manuals are provided. En ligne : http://dx.doi.org/10.1002/aur.1942 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=366 [article] A new measure of child vocal reciprocity in children with autism spectrum disorder [texte imprimé] / Amy L. HARBISON, Auteur ; Tiffany G. WOYNAROSKI, Auteur ; Jon TAPP, Auteur ; Joshua W. WADE, Auteur ; Anne S. WARLAUMONT, Auteur ; Paul J. YODER, Auteur . - p.903-915. Langues : Anglais (eng) in Autism Research > 11-6 (June 2018) . - p.903-915 Mots-clés : Lena  autism  automated vocal analysis  preschool  preverbal  reciprocity  vocalizations Index. décimale : PER Périodiques Résumé : Children's vocal development occurs in the context of reciprocal exchanges with a communication partner who models "speechlike" productions. We propose a new measure of child vocal reciprocity, which we define as the degree to which an adult vocal response increases the probability of an immediately following child vocal response. Vocal reciprocity is likely to be associated with the speechlikeness of vocal communication in young children with autism spectrum disorder (ASD). Two studies were conducted to test the utility of the new measure. The first used simulated vocal samples with randomly sequenced child and adult vocalizations to test the accuracy of the proposed index of child vocal reciprocity. The second was an empirical study of 21 children with ASD who were preverbal or in the early stages of language development. Daylong vocal samples collected in the natural environment were computer analyzed to derive the proposed index of child vocal reciprocity, which was highly stable when derived from two daylong vocal samples and was associated with speechlikeness of vocal communication. This association was significant even when controlling for chance probability of child vocalizations to adult vocal responses, probability of adult vocalizations, or probability of child vocalizations. A valid measure of children's vocal reciprocity might eventually improve our ability to predict which children are on track to develop useful speech and/or are most likely to respond to language intervention. A link to a free, publicly-available software program to derive the new measure of child vocal reciprocity is provided. Autism Res 2018, 11: 903-915. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Children and adults often engage in back-and-forth vocal exchanges. The extent to which they do so is believed to support children's early speech and language development. Two studies tested a new measure of child vocal reciprocity using computer-generated and real-life vocal samples of young children with autism collected in natural settings. The results provide initial evidence of accuracy, test-retest reliability, and validity of the new measure of child vocal reciprocity. A sound measure of children's vocal reciprocity might improve our ability to predict which children are on track to develop useful speech and/or are most likely to respond to language intervention. A free, publicly-available software program and manuals are provided. En ligne : http://dx.doi.org/10.1002/aur.1942 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=366

Paisley: Preliminary validation of a novel app-based e-Screener for ASD in children 18-36?months / Makayla G. HONAKER in Autism Research, 16-10 (October 2023)  

Public ISBD [article]  inAutism Research > 16-10 (October 2023) . - p.1963-1975 Titre : Paisley: Preliminary validation of a novel app-based e-Screener for ASD in children 18-36?months Type de document : texte imprimé Auteurs : Makayla G. HONAKER, Auteur ; Amy S. WEITLAUF, Auteur ; Amy R. SWANSON, Auteur ; Madison HOOPER, Auteur ; Nilanjan SARKAR, Auteur ; Joshua WADE, Auteur ; Zachary E. WARREN, Auteur Article en page(s) : p.1963-1975 Index. décimale : PER Périodiques Résumé : Abstract The purpose of this study was to assess the validity of an autism e-screener, Paisley, when utilized in a clinical research setting via a tablet application. The Paisley application used a series of play-based activities, all of which incorporated varying aspects of the ASD-PEDS. Participants included children (18-36 months; n 198) referred for evaluation of autism spectrum disorder (ASD) and community providers (n 66) with differing levels of familiarity with ASD. Community providers administered the Paisley application to children who then completed a comprehensive psychological evaluation. Based on comprehensive evaluation, 75% of children met diagnostic criteria for ASD. Paisley scores were significantly higher for children diagnosed with ASD (15.06) versus those not diagnosed (9.34). The newly determined cutoff ASD-PEDS cutoff score of 13 had significantly higher specificity and positive predictive value than the originally proposed cutoff of 11. Results support the use of Paisley by community providers to identify autism risk in toddlers. Limitations and strengths of the work, as well as opportunities for future clinical validation, are described. En ligne : https://doi.org/10.1002/aur.2997 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513 [article] Paisley: Preliminary validation of a novel app-based e-Screener for ASD in children 18-36?months [texte imprimé] / Makayla G. HONAKER, Auteur ; Amy S. WEITLAUF, Auteur ; Amy R. SWANSON, Auteur ; Madison HOOPER, Auteur ; Nilanjan SARKAR, Auteur ; Joshua WADE, Auteur ; Zachary E. WARREN, Auteur . - p.1963-1975. in Autism Research > 16-10 (October 2023) . - p.1963-1975 Index. décimale : PER Périodiques Résumé : Abstract The purpose of this study was to assess the validity of an autism e-screener, Paisley, when utilized in a clinical research setting via a tablet application. The Paisley application used a series of play-based activities, all of which incorporated varying aspects of the ASD-PEDS. Participants included children (18-36 months; n 198) referred for evaluation of autism spectrum disorder (ASD) and community providers (n 66) with differing levels of familiarity with ASD. Community providers administered the Paisley application to children who then completed a comprehensive psychological evaluation. Based on comprehensive evaluation, 75% of children met diagnostic criteria for ASD. Paisley scores were significantly higher for children diagnosed with ASD (15.06) versus those not diagnosed (9.34). The newly determined cutoff ASD-PEDS cutoff score of 13 had significantly higher specificity and positive predictive value than the originally proposed cutoff of 11. Results support the use of Paisley by community providers to identify autism risk in toddlers. Limitations and strengths of the work, as well as opportunities for future clinical validation, are described. En ligne : https://doi.org/10.1002/aur.2997 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513

A Pilot Study Assessing Performance and Visual Attention of Teenagers with ASD in a Novel Adaptive Driving Simulator / Joshua 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 Auteurs : Joshua WADE, Auteur ; Amy WEITLAUF, Auteur ; Neill A. BRODERICK, Auteur ; Amy SWANSON, Auteur ; Liang ZHANG, Auteur ; Dayi BIAN, Auteur ; Medha SARKAR, Auteur ; Zachary WARREN, Auteur ; Nilanjan 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] / Joshua WADE, Auteur ; Amy WEITLAUF, Auteur ; Neill A. BRODERICK, Auteur ; Amy SWANSON, Auteur ; Liang ZHANG, Auteur ; Dayi BIAN, Auteur ; Medha SARKAR, Auteur ; Zachary WARREN, Auteur ; Nilanjan 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 / Laura L. CORONA in Journal of Autism and Developmental Disorders, 51-11 (November 2021)  

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