Extended Reality (XR) and telehealth interventions for children or adolescents with autism spectrum disorder: Systematic review of qualitative and quantitative studies

'If I Don't Have My Support Worker in the Room…': A Multi-perspective Mixed Methods Study of Remote Daily Living Support for Neurodivergent Young Adults

PURPOSE

Information technology is increasingly being employed for providing support and interventions in disability and health service contexts. This study aimed to investigate service users' and support workers' perspectives on remote support in daily living for young adults with neurodevelopmental conditions.

METHODS

Using a convergent mixed methods approach, we integrated qualitative and quantitative findings from survey responses and focus groups. Young service users (aged 18 to 29) diagnosed with ADHD and/or autism (n = 35) and support workers (n = 64) from four municipalities in Sweden responded to a survey designed to tap into their lived experiences and views. The topic was explored further in focus groups with young service users (n = 7) and support workers (n = 3). Open-ended survey questions were analyzed using qualitative content analyses and complemented with information from the focus groups, while closed survey questions were summarized descriptively. Inferences were merged in a joint display.

RESULTS

While participants reported having access to digital devices, service routines for remote contact were not in place. Service users were more hesitant than support workers in endorsing remote support, expressing concerns that this approach would be inferior to in-person support (e.g., owing to miscommunications and insufficient social and emotional contact). Still, both groups expressed that remote contact may at times be a beneficial complement to in-person meetings, increasing accessibility and user choice.

CONCLUSION

Service providers planning to implement remote support elements should explore the demand, acceptability, and organizational readiness for this approach. Moving forward, user engagement will be crucial to meet individual preferences, values, and needs.

Evidence-Based Interventions in Autism

Pediatricians have a critically important role in the care of children with autism, including conducting developmental screening to support early diagnosis and intervention, advising families about evidence-based treatments for autism spectrum disorder, and supporting families' emotional health as they care for a child with a developmental disability. The purpose of this article is to provide pediatricians with information about evidence-based autism treatments and how to determine which interventions are appropriate for children across the autism spectrum at different ages and developmental stages.

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.

Investigating Sex-Based Neural Differences in Autism and Their Extended Reality Intervention Implications

Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, and there is growing interest in the use of extended reality (XR) technologies for intervention. Despite the promising potential of XR interventions, there remain gaps in our understanding of the neurobiological mechanisms underlying ASD, particularly in relation to sex-based differences. This scoping review synthesizes the current research on brain activity patterns in ASD, emphasizing the implications for XR interventions and neurofeedback therapy. We examine the brain regions commonly affected by ASD, the potential benefits and drawbacks of XR technologies, and the implications of sex-specific differences for designing effective interventions. Our findings underscore the need for ongoing research into the neurobiological underpinnings of ASD and sex-based differences, as well as the importance of developing tailored interventions that consider the unique needs and experiences of autistic individuals.

Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review

The growing and aging of the world population have driven the shortage of medical resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid development of robotics and artificial intelligence technologies help to adapt to the challenges in the healthcare field. Among them, intelligent speech technology (IST) has served doctors and patients to improve the efficiency of medical behavior and alleviate the medical burden. However, problems like noise interference in complex medical scenarios and pronunciation differences between patients and healthy people hamper the broad application of IST in hospitals. In recent years, technologies such as machine learning have developed rapidly in intelligent speech recognition, which is expected to solve these problems. This paper first introduces IST's procedure and system architecture and analyzes its application in medical scenarios. Secondly, we review existing IST applications in smart hospitals in detail, including electronic medical documentation, disease diagnosis and evaluation, and human-medical equipment interaction. In addition, we elaborate on an application case of IST in the early recognition, diagnosis, rehabilitation training, evaluation, and daily care of stroke patients. Finally, we discuss IST's limitations, challenges, and future directions in the medical field. Furthermore, we propose a novel medical voice analysis system architecture that employs active hardware, active software, and human-computer interaction to realize intelligent and evolvable speech recognition. This comprehensive review and the proposed architecture offer directions for future studies on IST and its applications in smart hospitals.

Gaze Fixation and Visual Searching Behaviors during an Immersive Virtual Reality Social Skills Training Experience for Children and Youth with Autism Spectrum Disorder: A Pilot Study

Children and youth with Autism Spectrum Disorder (ASD) display difficulties recognizing and interacting with behavioral expressions of emotion, a deficit that makes social interaction problematic. Social skills training is foundational to the treatment of ASD, yet this intervention is costly, time-consuming, lacks objectivity, and is difficult to deliver in real-world settings. This pilot project investigated the use of an immersive virtual reality (IVR) headset to simulate real-world social interactions for children/youth with ASD. The primary objective was to describe gaze fixation and visual search behaviors during the simulated activity. Ten participants were enrolled and completed one social-skills training session in the IVR. The results demonstrate differential patterns between participants with mild, moderate, and severe ASD in the location and duration of gaze fixation as well as the patterns of visual searching. Although the results are preliminary, these differences may shed light on phenotypes within the continuum of ASD. Additionally, there may be value in quantifying gaze and visual search behaviors as an objective metric of interventional effectiveness for social-skills training therapy.

6G to Take the Digital Divide by Storm: Key Technologies and Trends to Bridge the Gap

The pandemic caused by COVID-19 has shed light on the urgency of bridging the digital divide to guarantee equity in the fruition of different services by all citizens. The inability to access the digital world may be due to a lack of network infrastructure, which we refer to as service-delivery divide, or to the physical conditions, handicaps, age, or digital illiteracy of the citizens, that is mentioned as service-fruition divide. In this paper, we discuss the way how future sixth-generation (6G) systems can remedy actual limitations in the realization of a truly digital world. Hence, we introduce the key technologies for bridging the digital gap and show how they can work in two use cases of particular importance, namely eHealth and education, where digital inequalities have been dramatically augmented by the pandemic. Finally, considerations about the socio-economical impacts of future 6G solutions are drawn.