Assessing Social Communication and Collaboration in Autism Spectrum Disorder Using Intelligent Collaborative Virtual Environments

The Application of Extended Reality in Treating Children with Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is a common neurodevelopmental disorder in children, characterized by social interaction, communication difficulties, and repetitive and stereotyped behaviors. Existing intervention methods have limitations, such as requiring long treatment periods and needing to be more convenient to implement. Extended Reality (XR) technology offers a virtual environment to enhance children's social, communication, and self-regulation skills. This paper compares XR theoretical models, application examples, and intervention effects. The study reveals that XR intervention therapy is mainly based on cognitive rehabilitation, teaching, and social-emotional learning theories. It utilizes algorithms, models, artificial intelligence (AI), eye-tracking, and other technologies for interaction, achieving diverse intervention outcomes. Participants showed effective improvement in competency barriers using XR-based multimodal interactive platforms. However, Mixed Reality (MR) technology still requires further development. Future research should explore multimsodal interaction technologies combining XR and AI, optimize models, prioritize the development of MR intervention scenarios, and sustain an optimal intervention level.

Designing and deploying a virtual social sandbox for autistic children

PURPOSE

This exploratory study was intended to investigate the design and feasibility of using a web virtual reality based social learning space for autistic children at home.

MATERIALS AND METHODS

The researchers of the current study developed and implemented an open-source, web virtual reality based learning program for children with autism. Endorsing mixed-method convergent parallel design, we collected both qualitative and quantitative data from four autistic children, including repeated measures of social skills performance, self- and parent-reported social and communication competence, observation notes, and individual interviews.

RESULTS

The study found preliminary evidence for a positive impact of deploying a virtual reality-based social sandbox on the practice and development of complex social skills for autistic children. All participants showed significant reduced social communication impairments from the pre- to the post-intervention phases. Nevertheless, participants' social skills performance in the virtual world was mediated by two social task design features-external goal structure and individualization.

CONCLUSIONS

Play- and design-oriented social tasks in the three-dimensional virtual world framed meaningful social experiences or the naturalistic intervention for social skills development.

Global trends and hotspots in the digital therapeutics of autism spectrum disorders: a bibliometric analysis from 2002 to 2022

Introduction

Autism spectrum disorder (ASD) is a severe neurodevelopmental disorder that has become a major cause of disability in children. Digital therapeutics (DTx) delivers evidence-based therapeutic interventions to patients that are driven by software to prevent, manage, or treat a medical disorder or disease. This study objectively analyzed the current research status of global DTx in ASD from 2002 to 2022, aiming to explore the current global research status and trends in the field.

Methods

The Web of Science database was searched for articles about DTx in ASD from January 2002 to October 2022. CiteSpace was used to analyze the co-occurrence of keywords in literature, partnerships between authors, institutions, and countries, the sudden occurrence of keywords, clustering of keywords over time, and analysis of references, cited authors, and cited journals.

Results

A total of 509 articles were included. The most productive country and institution were the United States and Vanderbilt University. The largest contributing authors were Warren, Zachary, and Sarkar, Nilanjan. The most-cited journal was the Journal of Autism and Developmental Disorders. The most-cited and co-cited articles were Brian Scarselati (Robots for Use in Autism Research, 2012) and Ralph Adolphs (Abnormal processing of social information from faces in autism, 2001). "Artificial Intelligence," "machine learning," "Virtual Reality," and "eye tracking" were common new and cutting-edge trends in research on DTx in ASD.

Discussion

The use of DTx in ASD is developing rapidly and gaining the attention of researchers worldwide. The publications in this field have increased year by year, mainly concentrated in the developed countries, especially in the United States. Both Vanderbilt University and Yale University are very important institutions in the field. The researcher from Vanderbilt University, Warren and Zachary, his dynamics or achievements in the field is also more worth our attention. The application of new technologies such as virtual reality, machine learning, and eye-tracking in this field has driven the development of DTx on ASD and is currently a popular research topic. More cross-regional and cross-disciplinary collaborations are recommended to advance the development and availability of DTx.

"You Feel Like You Kind of Walk Between the Two Worlds": A Participatory Study Exploring How Technology Can Support Emotion Regulation for Autistic People

An increasing amount of technological solutions aiming to support emotion regulation are being developed for Autistic people. However, there remains a lack of understanding of user needs, and design factors which has led to poor usability and varied success. Furthermore, studies assessing the feasibility of emotion regulation technology via physiological signals for autistic people are increasingly showing promise, yet to date there has been no exploration of views from the autistic community on the benefits/challenges such technology may present in practice. Focus groups with autistic people and their allies were conducted to gain insight into experiences and expectations of technological supports aimed at supporting emotion regulation. Reflexive thematic analysis generated three themes: (1) communication challenges (2) views on emotion regulation technology (3) 'how' technology is implemented. Results provide meaningful insight into the socio-emotional communication challenges faced by autistic people, and explore the expectations of technology aimed at supporting emotion regulation.

Virtual Reality Technology as an Educational and Intervention Tool for Children with Autism Spectrum Disorder: Current Perspectives and Future Directions

The worldwide rising trend of autism spectrum disorder (ASD) calls for innovative and efficacious techniques for assessment and treatment. Virtual reality (VR) technology gains theoretical support from rehabilitation and pedagogical theories and offers a variety of capabilities in educational and interventional contexts with affordable products. VR is attracting increasing attention in the medical and healthcare industry, as it provides fully interactive three-dimensional simulations of real-world settings and social situations, which are particularly suitable for cognitive and performance training, including social and interaction skills. This review article offers a summary of current perspectives and evidence-based VR applications for children with ASD, with a primary focus on social communication, including social functioning, emotion recognition, and speech and language. Technology- and design-related limitations, as well as disputes over the application of VR to autism research and therapy, are discussed, and future directions of this emerging field are highlighted with regards to application expansion and improvement, technology enhancement, linguistic diversity, and the development of theoretical models and brain-based research.

Modular cognitive behavioral therapy for autism-related symptoms in children: A randomized controlled trial

OBJECTIVE

To date, no one-on-one psychotherapy protocol for elementary and middle school-aged children with autism spectrum disorder (ASD) has been found to be efficacious for treating autism-related symptoms such as failure to initiate social interactions. This study compared modular cognitive behavioral therapy (CBT) with enhanced standard community treatment (ESCT) in terms of impact on the severity of autism-related symptoms.

METHOD

Children with ASD (N = 107; aged 6-13 years) were randomly assigned to a treatment condition (CBT or ESCT). Both treatments provided 32 therapy sessions. The CBT condition utilized a modular design, matching specific evidence-based treatment elements to each child's clinical needs (e.g., social-communication symptoms). The ESCT condition provided social skills training and cognitive behavioral training in a structured and linear group therapy format. The primary outcome measure was independent evaluator ratings of peer engagement during school recess using a structured and validated observation system. Parents also made session-by-session ratings on personalized autism-related symptom profiles throughout treatment.

RESULTS

CBT outperformed ESCT on the primary outcome measure (p < .001; d = .50; 95% CI [.06, .93]) and the secondary outcome measure (p = .003; d = .87; 95% CI [.45, 1.27]).

CONCLUSIONS

The modular one-on-one CBT program evaluated in this study may be beneficial for reducing the severity of autism-related symptoms in some children with ASD. Further research is needed to clarify the extent of the treatment effect and the feasibility of implementation for therapists in the community. (PsycInfo Database Record (c) 2021 APA, all rights reserved).