scholarly journals Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 621
Author(s):  
Chris Lytridis ◽  
Vassilis G. Kaburlasos ◽  
Christos Bazinas ◽  
George A. Papakostas ◽  
George Sidiropoulos ◽  
...  

Recent years have witnessed the proliferation of social robots in various domains including special education. However, specialized tools to assess their effect on human behavior, as well as to holistically design social robot applications, are often missing. In response, this work presents novel tools for analysis of human behavior data regarding robot-assisted special education. The objectives include, first, an understanding of human behavior in response to an array of robot actions and, second, an improved intervention design based on suitable mathematical instruments. To achieve these objectives, Lattice Computing (LC) models in conjunction with machine learning techniques have been employed to construct a representation of a child’s behavioral state. Using data collected during real-world robot-assisted interventions with children diagnosed with Autism Spectrum Disorder (ASD) and the aforementioned behavioral state representation, time series of behavioral states were constructed. The paper then investigates the causal relationship between specific robot actions and the observed child behavioral states in order to determine how the different interaction modalities of the social robot affected the child’s behavior.

Author(s):  
Robyn Swanson

This chapter addresses the use of evidence-based practices (EBPs) by special education practitioners in instruction and assessment while providing music educators guidance toward implementing these practices in instruction and assessment for students with autism spectrum disorder (ASD) within universal design for learning (UDL) inclusive classrooms. Included are behavioral characteristics of students with ASD that music educators need be cognizant of in inclusive settings; federal education laws and policies that have provided students with disabilities rights to a quality education; and selected special education EBP and accommodations deemed as viable interventions for teaching and assessing PreK-12 standards-based music curriculum for students with ASD. Music educators may determine the PreK-12 music assessments aligned to appropriate EBP and accommodations for students with ASD are beneficial resources when designing and implementing curriculum, instruction, and assessment linked to the 2014 National Core Arts (Music) Standards (NCAS) with supporting Model Cornerstone Assessments (MCAs).


Autism ◽  
2020 ◽  
Vol 24 (8) ◽  
pp. 2117-2128 ◽  
Author(s):  
Manon WP De Korte ◽  
Iris van den Berk-Smeekens ◽  
Martine van Dongen-Boomsma ◽  
Iris J Oosterling ◽  
Jenny C Den Boer ◽  
...  

The aim of this study was to investigate the effect of Pivotal Response Treatment versus robot-assisted Pivotal Response Treatment on self-initiations of children with autism spectrum disorder and to explore the relation between self-initiations and collateral gains in general social-communicative skills. Forty-four participants with autism spectrum disorder aged 3–8 years (Pivotal Response Treatment: n = 20, Pivotal Response Treatment + robot: n = 24), who were recruited as part of a larger randomized controlled trial (number NL4487/NTR4712, https://www.trialregister.nl/trial/4487 ), were included. Self-initiations were blindly coded, assessing video probes of all parent–child sessions using an event-recording system. General social-communicative skills were assessed with the parent- and teacher-rated Social Responsiveness Scale during intervention and at 3-month follow-up. Results using linear mixed-effects models showed overall gains in self-initiations during both Pivotal Response Treatment intervention groups (estimate = 0.43(0.15), 95% confidence interval (CI): 0.13–0.73), with larger gains in functional self-initiations in children receiving robot-assisted Pivotal Response Treatment (estimate = −0.27(0.12), 95% confidence interval: −0.50 to −0.04). Growth in self-initiations was related to higher parent-rated social awareness at follow-up compared with baseline in the total sample ( r = −0.44, p = 0.011). The clinical implications of these findings, as well as directions for future research in the utility of Pivotal Response Treatment and robot assistance in autism spectrum disorder intervention, are discussed. Lay abstract The initiation of social interaction is often defined as a core deficit of autism spectrum disorder. Optimizing these self-initiations is therefore a key component of Pivotal Response Treatment, an established intervention for children with autism spectrum disorder. However, little is known about the development of self-initiations during intervention and whether this development can be facilitated by robot assistance within Pivotal Response Treatment. The aim of this study was to (1) investigate the effect of Pivotal Response Treatment and robot-assisted Pivotal Response Treatment on self-initiations (functional and social) of young children with autism spectrum disorder over the course of intervention and (2) explore the relation between development in self-initiations and additional gains in general social-communicative skills. Forty-four children with autism spectrum disorder (aged 3–8 years) were included in this study. Self-initiations were assessed during parent–child interaction videos of therapy sessions and coded by raters who did not know which treatment (Pivotal Response Treatment or robot-assisted Pivotal Response Treatment) the child received. General social-communicative skills were assessed before start of the treatment, after 10 and 20 weeks of intervention and 3 months after the treatment was finalized. Results showed that self-initiations increased in both treatment groups, with the largest improvements in functional self-initiations in the group that received robot-assisted Pivotal Response Treatment. Increased self-initiations were related to higher parent-rated social awareness 3 months after finalizing the treatment.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Iris van den Berk-Smeekens ◽  
Martine van Dongen-Boomsma ◽  
Manon W. P. De Korte ◽  
Jenny C. Den Boer ◽  
Iris J. Oosterling ◽  
...  

Medicina ◽  
2019 ◽  
Vol 55 (8) ◽  
pp. 440 ◽  
Author(s):  
Joan DiPietro ◽  
Arpad Kelemen ◽  
Yulan Liang ◽  
Cecilia Sik-Lanyi

Background and objectives: Children with autism spectrum disorder (ASD) experience challenges with social interactions, a core feature of the disorder. Social skills therapy has been shown to be helpful. Over the past several years, computer-assisted and robot-assisted therapies have been infiltrating the social skills teaching environment. Rapid progress in the field of technology, especially in the robotics area, offers tremendous possibilities for innovation and treatment or even education for individuals with ASD. This paper’s purpose is to drive awareness of these innovative interventions in order to support the social lives of children with ASD. The aims of the paper are identifying (1) the types of Information Technology platforms that are being evaluated in computer and robot-assisted therapies for children with ASD; (2) the various disciplines or professions studying and utilizing these computer and robot-assisted social skill therapies; (3) the outcomes being evaluated in each trial; and (4) if results demonstrate benefits to children with autism. Materials and Methods: PubMed, CINAHL, Science Direct, and Web of Science databases were searched for clinical trials published over the past five years. Search terms incorporated the subject intersection of autism, and computer or robot-assisted therapy. Results were mined for pediatric populations only and study designs establishing controlled comparisons. Results: Eighteen unique international studies were identified that utilize robot interventions (11 studies) and serious computer game interventions (seven studies). Most demonstrated promising results in improving outcomes for children with ASD. Study implications reveal a rapidly evolving assistive technology for ASD social skills therapy. Conclusions: These interventions show considerable promise, but more effectiveness and cost effectiveness research of high quality should be carried out with larger numbers of children. Also, further studies are necessary to evaluate these technologies’ effectiveness amongst adults with ASD and within unique subsets of the higher functioning autism population.


2017 ◽  
Vol 42 (1) ◽  
pp. 58-83 ◽  
Author(s):  
Tiffany Kodak ◽  
Tom Cariveau ◽  
Brittany A. LeBlanc ◽  
Jacob J. Mahon ◽  
Regina A. Carroll

The present investigation examined special education teachers’ selection and use of teaching strategies for receptive identification training with children with autism spectrum disorder (ASD) in their classrooms. Teachers first responded to a survey in which they provided examples of receptive identification tasks taught in their classrooms, rated the efficacy of teaching strategies, described how they determined whether skills were mastered, listed any assessments they conducted to identify relevant prerequisite skills prior to receptive identification training, described how they selected teaching strategies for use in their classrooms, and listed their years of experience as a teacher and working with children with ASD. Subsequent observations of implementation of teaching strategies during trial-based instruction occurred in a proportion of teachers’ classrooms. The results of the observations showed that participants did not consistently implement components of trial-based instruction as described in the literature, and there were differences in implementation depending on the types of skills targeted during instruction.


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