The Experts below are selected from a list of 25011 Experts worldwide ranked by ideXlab platform
Uttama Lahiri - One of the best experts on this subject based on the ideXlab platform.
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Gaze-sensitive virtual reality based Social Communication platform for individuals with autism
IEEE Transactions on Affective Computing, 2018Co-Authors: Pradeep Raj Krishnappa Babu, Poojan Oza, Uttama LahiriAbstract:Deficits in adaptive Social Communication skills and poor dyadic eye contact are critical concerns among children with autism spectrum disorder (ASD). Also, they often exhibit high Social anxiety which restricts them from Socialization. Recent advancement in technologies, e.g., Virtual Reality (VR) have shown its promise in training and intervention tasks for individuals with ASD, carried out in a safe and controlled environment. In this paper, we describe the design of Eyegazesensitive VIrtual reality based Social Communication Platform (E-VISP) as a proof-of-concept application dealing with some of the aspects of Social Communication skills for children with autism. Preliminary results of a usability study with two pairs of individuals with ASD and Typically Developing (TD) participants indicate the feasibility of our E-VISP to cause variations in their task performance, behavioral viewing (e.g., fixation duration) and gaze-related biomarkers (e.g., pupil diameter and blink-rate) that can be mapped to their individualized anxiety levels. © 2016 IEEE.
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Gaze-Sensitive Virtual Reality Based Social Communication Platform for Individuals with Autism
IEEE Transactions on Affective Computing, 2018Co-Authors: Pradeep Raj Krishnappa Babu, Uttama LahiriAbstract:Autism spectrum disorder (ASD) is often characterized by core deficits in Social Communication and ability to understand others' non-verbal emotional cues. This can be attributed to their atypical eye-gaze patterns along with reduced fixation towards communicator's face during Social Communication. With technological progress, Virtual Reality (VR) augmented with peripherals such as, eye tracker can offer a promising complementary assistive platform for presenting various Social situations to this target group along with quantification of one's task performance and measurement of gaze-related indices. This paper presents the design of a VR-based Social Communication platform augmented with technologically-enhanced eye-tracking facility as a proof-of-concept application. We measured one's performance score along with real-time synchronized gaze-related indices while one interacted with VR-based Social tasks having both context-relevant verbal and non-verbal components of Social interaction. The results of a usability study carried out in the Indian sub-continent with eight pairs of individuals with ASD and typically-developing individuals showed the potential of our system to have implications on one's task performance and gaze-related indices in response to virtual peer's emotional expressions. The implication of emotions on gaze-related behavioral and physiological indices shows the potential of using gaze-related indices as bio-markers of one's anxiety during Social Communication.
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Design of Eyegaze-Sensitive Virtual Reality Based Social Communication Platform for Individuals with Autism
2016 7th International Conference on Intelligent Systems Modelling and Simulation (ISMS), 2016Co-Authors: Uttama LahiriAbstract:Deficits in adaptive Social Communication skills and poor dyadic eye contact are critical concerns among children with autism spectrum disorder (ASD). Also, they often exhibit high Social anxiety which restricts them from Socialization. Recent advancement in technologies, e.g., Virtual Reality (VR) have shown its promise in training and intervention tasks for individuals with ASD, carried out in a safe and controlled environment. In this paper, we describe the design of Eyegazesensitive VIrtual reality based Social Communication Platform (E-VISP) as a proof-of-concept application dealing with some of the aspects of Social Communication skills for children with autism. Preliminary results of a usability study with two pairs of individuals with ASD and Typically Developing (TD) participants indicate the feasibility of our E-VISP to cause variations in their task performance, behavioral viewing (e.g., fixation duration) and gaze-related biomarkers (e.g., pupil diameter and blink-rate) that can be mapped to their individualized anxiety levels.
Pradeep Raj Krishnappa Babu - One of the best experts on this subject based on the ideXlab platform.
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Gaze-sensitive virtual reality based Social Communication platform for individuals with autism
IEEE Transactions on Affective Computing, 2018Co-Authors: Pradeep Raj Krishnappa Babu, Poojan Oza, Uttama LahiriAbstract:Deficits in adaptive Social Communication skills and poor dyadic eye contact are critical concerns among children with autism spectrum disorder (ASD). Also, they often exhibit high Social anxiety which restricts them from Socialization. Recent advancement in technologies, e.g., Virtual Reality (VR) have shown its promise in training and intervention tasks for individuals with ASD, carried out in a safe and controlled environment. In this paper, we describe the design of Eyegazesensitive VIrtual reality based Social Communication Platform (E-VISP) as a proof-of-concept application dealing with some of the aspects of Social Communication skills for children with autism. Preliminary results of a usability study with two pairs of individuals with ASD and Typically Developing (TD) participants indicate the feasibility of our E-VISP to cause variations in their task performance, behavioral viewing (e.g., fixation duration) and gaze-related biomarkers (e.g., pupil diameter and blink-rate) that can be mapped to their individualized anxiety levels. © 2016 IEEE.
Pradeep Raj Krishnappa Babu - One of the best experts on this subject based on the ideXlab platform.
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Gaze-Sensitive Virtual Reality Based Social Communication Platform for Individuals with Autism
IEEE Transactions on Affective Computing, 2018Co-Authors: Pradeep Raj Krishnappa Babu, Uttama LahiriAbstract:Autism spectrum disorder (ASD) is often characterized by core deficits in Social Communication and ability to understand others' non-verbal emotional cues. This can be attributed to their atypical eye-gaze patterns along with reduced fixation towards communicator's face during Social Communication. With technological progress, Virtual Reality (VR) augmented with peripherals such as, eye tracker can offer a promising complementary assistive platform for presenting various Social situations to this target group along with quantification of one's task performance and measurement of gaze-related indices. This paper presents the design of a VR-based Social Communication platform augmented with technologically-enhanced eye-tracking facility as a proof-of-concept application. We measured one's performance score along with real-time synchronized gaze-related indices while one interacted with VR-based Social tasks having both context-relevant verbal and non-verbal components of Social interaction. The results of a usability study carried out in the Indian sub-continent with eight pairs of individuals with ASD and typically-developing individuals showed the potential of our system to have implications on one's task performance and gaze-related indices in response to virtual peer's emotional expressions. The implication of emotions on gaze-related behavioral and physiological indices shows the potential of using gaze-related indices as bio-markers of one's anxiety during Social Communication.
Catherine Lord - One of the best experts on this subject based on the ideXlab platform.
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measuring changes in Social Communication behaviors preliminary development of the brief observation of Social Communication change boscc
Journal of Autism and Developmental Disorders, 2016Co-Authors: Rebecca Grzadzinski, Themba Carr, Costanza Colombi, Kelly Mcguire, Sarah Dufek, Andrew Pickles, Catherine LordAbstract:Psychometric properties and initial validity of the Brief Observation of Social Communication Change (BOSCC), a measure of treatment-response for Social-Communication behaviors, are described. The BOSCC coding scheme is applied to 177 video observations of 56 young children with ASD and minimal language abilities. The BOSCC has high to excellent inter-rater and test–retest reliability and shows convergent validity with measures of language and Communication skills. The BOSCC Core total demonstrates statistically significant amounts of change over time compared to a no change alternative while the ADOS CSS over the same period of time did not. This work is a first step in the development of a novel outcome measure for Social-Communication behaviors with applications to clinical trials and longitudinal studies.
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Subdimensions of Social-Communication impairment in autism spectrum disorder.
Journal of Child Psychology and Psychiatry, 2016Co-Authors: Somer L. Bishop, Karoline Alexandra Havdahl, Marisela Huerta, Catherine LordAbstract:Background More refined dimensions of Social-Communication impairment are needed to elucidate the clinical and biological boundaries of autism spectrum disorders (ASD) and other childhood onset psychiatric disorders associated with Social difficulties, as well as to facilitate investigations in treatment and long-term outcomes of these disorders. Methods This study was intended to identify separable dimensions of clinician-observed Social-Communication impairments by examining scores on a widely used autism diagnostic instrument. Participants included verbally fluent children ages 3–13 years, who were given a clinical diagnosis of ASD (n = 120) or non-ASD (i.e. ADHD, language disorder, intellectual disability, mood or anxiety disorder; n = 118) following a comprehensive diagnostic assessment. Exploratory and confirmatory factor analysis examined the factor structure of algorithm items from the Autism Diagnostic Observation Schedule (ADOS), Module 3. Results Results indicated that a three-factor model consisting of repetitive behaviors and two separate Social-Communication behavior factors had superior fit compared to a two-factor model that included repetitive behaviors and one Social-Communication behavior factor. In the three-factor model, impairments in ‘Basic Social-Communication’ behaviors (e.g. eye contact, facial expressions, gestures) were separated from impairments in ‘Interaction quality.’ Confirmatory factor analysis in an independent sample of children in the Simons Simplex Collection (SSC) further supported the division of Social-Communication impairments into these two factors. Scores in Interaction Quality were significantly associated with nonverbal IQ and male sex in the ASD group, and with age in the non-ASD group, while scores in basic Social Communication were not significantly associated with any of these child characteristics in either diagnostic group. Conclusions Efforts to conceptualize level, or severity, of Social-Communication impairment in children with neurodevelopmental disorders might be facilitated by separating the most basic (or proximal) Social-Communication impairments from those that could arise from a range of other phenotypic variables. Identification of Social-Communication subdimensions also highlights potential avenues for measuring different types of Social-Communication impairments for different purposes (e.g. for differential diagnosis vs. response to treatment).
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measuring Social Communication behaviors as a treatment endpoint in individuals with autism spectrum disorder
Autism, 2015Co-Authors: Evdokia Anagnostou, Connie Kasari, Marisela Huerta, Catherine Lord, Nancy E Jones, Alycia K Halladay, Paul P Wang, Lawrence Scahill, Joseph P Horrigan, Dennis ChoiAbstract:Social Communication impairments are a core deficit in autism spectrum disorder. Social Communication deficit is also an early indicator of autism spectrum disorder and a factor in long-term outcomes. Thus, this symptom domain represents a critical treatment target. Identifying reliable and valid outcome measures for Social Communication across a range of treatment approaches is essential. Autism Speaks engaged a panel of experts to evaluate the readiness of available measures of Social Communication for use as outcome measures in clinical trials. The panel held monthly conference calls and two face-to-face meetings over 14 months. Key criteria used to evaluate measures included the relevance to the clinical target, coverage of the symptom domain, and psychometric properties (validity and reliability, as well as evidence of sensitivity to change). In all, 38 measures were evaluated and 6 measures were considered appropriate for use, with some limitations. This report discusses the relative strengths and w...
Poojan Oza - One of the best experts on this subject based on the ideXlab platform.
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Gaze-sensitive virtual reality based Social Communication platform for individuals with autism
IEEE Transactions on Affective Computing, 2018Co-Authors: Pradeep Raj Krishnappa Babu, Poojan Oza, Uttama LahiriAbstract:Deficits in adaptive Social Communication skills and poor dyadic eye contact are critical concerns among children with autism spectrum disorder (ASD). Also, they often exhibit high Social anxiety which restricts them from Socialization. Recent advancement in technologies, e.g., Virtual Reality (VR) have shown its promise in training and intervention tasks for individuals with ASD, carried out in a safe and controlled environment. In this paper, we describe the design of Eyegazesensitive VIrtual reality based Social Communication Platform (E-VISP) as a proof-of-concept application dealing with some of the aspects of Social Communication skills for children with autism. Preliminary results of a usability study with two pairs of individuals with ASD and Typically Developing (TD) participants indicate the feasibility of our E-VISP to cause variations in their task performance, behavioral viewing (e.g., fixation duration) and gaze-related biomarkers (e.g., pupil diameter and blink-rate) that can be mapped to their individualized anxiety levels. © 2016 IEEE.
