Comment on Technology-Based Intervention Research for Individuals on the Autism Spectrum

Social Humanoid Robots for Children with Autism Spectrum Disorders: A Review of Modalities, Indications, and Pitfalls

Robot-assisted therapy (RAT) is a promising area of translational neuroscience for children with autism spectrum disorders (ASDs). It has been widely demonstrated that this kind of advanced technological tool provides a reliable and efficient intervention for promoting social skills and communication in children with ASD. This type of treatment consists of a human-assisted social robot acting as an intervention mediator to increase competence and skills in children with ASD. Several social robots have been validated in the literature; however, an explicit technical comparison among devices has never been performed. For this reason, in this article, we provide an overview of the main commercial humanoid robots employed for ASD children with an emphasis on indications for use, pitfalls to be avoided, and recent advances. We conclude that, in the near future, a new generation of devices with high levels of mobility, availability, safety, and acceptability should be designed for improving the complex triadic interaction among teachers, children, and robots.

Cultivating Self-Compassion to Improve Mental Health in Autistic Adults

Many autistic adults experience poor mental health. Research has consistently shown that cultivating self-compassion is a promising approach to strengthening resilience in nonautistic adults. Self-compassion is a trainable skill that is associated with several mental health benefits, such as higher levels of happiness and well-being as well as lower symptoms of depression and anxiety. However, no studies to date have explored self-compassion in autistic individuals. We suggest that self-compassion may be a relevant target in mental health interventions for autistic adults without severe or profound intellectual disability. Self-compassion may improve mental health in autistic adults through directly modifying emotions (as an emotion regulation strategy) or its interactions with emotion regulation processes. Existing approaches to cultivating self-compassion include identifying and practicing self-compassionate behaviors, using self-compassionate thought records, and practicing self-compassion meditations. Before self-compassion approaches are implemented by autistic adults, it will be necessary to evaluate their role and effectiveness in mental health through carefully designed studies. We suggest that researchers should first study the relationship between self-compassion and mental health outcomes in autistic adults. Once researchers have established the connection, we can then begin to study self-compassion-based interventions for autistic adults. Relevant clinical considerations include identifying the autistic groups that self-compassion practices are suitable for, determining how autistic adults with and without mental health conditions can effectively practice self-compassion (on their own and with the support of clinicians), and evaluating existing self-compassion tools or designing new tools. It is also relevant for future research to identify the enablers and barriers to using self-compassion in autistic adults.

Lay summary

What is self-compassion?: Self-compassion is when we: are friendly toward ourselves (kindness)are aware of our feelings and thoughts (mindful awareness)realize that everyone feels pain and makes mistakes (common humanity)What is the purpose of this article?: We think that practicing self-compassion is important for autistic adults. No research has studied self-compassion in autistic individuals. We provide examples of how to improve self-compassion. We make recommendations for future research on self-compassion for autistic adults.What perspectives do the authors bring to this subject?: We bring together different and unique perspectives in this article. One author is a researcher whose research has focused on emotion regulation and mental health in autistic youth and adults. The other author is a self-compassion researcher who is also a private practice clinical psychologist. We have practiced self-compassion and personally experienced the benefits of developing our self-compassion skills. We think that cultivating self-compassion has helped to improve our mental health and enriched our lives.Why is self-compassion important?: Self-compassion is associated with a lot of positive aspects of life in nonautistic individuals. These positive aspects include greater happiness and well-being, and lower levels of depression and anxiety symptoms.How is self-compassion relevant to autistic adults?: We know that as a group, autistic adults have poorer mental health when compared with nonautistic adults. That is, autistic adults experience higher rates of anxiety and depression. Research shows that practicing self-compassion in nonautistic people can improve their mental health. We think that cultivating self-compassion can also be helpful to autistic adults.What do the authors recommend?: We suggest that cultivating self-compassion may improve the mental health of autistic adults. There are several ways to improve self-compassion. Self-compassion can be improved by identifying and practicing self-compassionate behaviors. For example, we can take a walk outside. Another way to improve self-compassion is to record our thoughts. This can be performed by keeping a log of self-critical thoughts. We can also practice self-compassion by meditating. It is too early to tell how self-compassion should be practiced by autistic adults. Research is needed to observe if self-compassion is helpful to autistic adults. We made a series of recommendations for researchers and clinicians. Researchers should first check if there is a relationship between self-compassion and mental health in autistic adults. If more self-compassion is associated with better mental health, then researchers and clinicians can try and find out how we can improve autistic people's self-compassion.How will these recommendations help autistic adults now or in the future?: We hope that our recommendations will start a conversation on the relevance of self-compassion for autistic adults and lead to the development of self-compassion-related research programs that involve autistic adults. The ultimate goal is to improve the mental health and psychological well-being of autistic adults in the future.

HabITec: A Sociotechnical Space for Promoting the Application of Technology to Rehabilitation

Society is currently facing unprecedented technological advances that simultaneously create opportunities and risks. Technology has the potential to revolutionize rehabilitation and redefine the way we think about disability. As more advanced technology becomes available, impairments and the environmental barriers that engender disability can be significantly mitigated. The opportunity to apply technology to rehabilitation following serious injuries or illnesses is becoming more evident. However, the translation of these innovations into practice remains limited and often inequitable. This situation is exacerbated by the fact that not all relevant parties are involved in the decision-making process. Our solution was to create a sociotechnical system, known as HabITec, where people with disabilities, practitioners, funders, researchers, designers and developers can work together and co-create new solutions. Sociotechnical thinking is collaborative, interdisciplinary, adaptive, problem-solving and focused on a shared set of goals. By applying a sociotechnical approach to the healthcare sector, we aimed to minimize the lag in translating new technologies into rehabilitation practice. This collaborative co-design process supports innovation and ensures that technological solutions are practical and meaningful, ethical, sustainable and contextualized. In this conceptual paper, we presented the HabITec model along with the empirical evidence and theories on which it has been built.

Educators' Views on Using Humanoid Robots With Autistic Learners in Special Education Settings in England

Researchers, industry, and practitioners are increasingly interested in the potential of social robots in education for learners on the autism spectrum. In this study, we conducted semi-structured interviews and focus groups with educators in England to gain their perspectives on the potential use of humanoid robots with autistic pupils, eliciting ideas, and specific examples of potential use. Understanding educator views is essential, because they are key decision-makers for the adoption of robots and would directly facilitate future use with pupils. Educators were provided with several example images (e.g., NAO, KASPAR, Milo), but did not directly interact with robots or receive information on current technical capabilities. The goal was for educators to respond to the general concept of humanoid robots as an educational tool, rather than to focus on the existing uses or behaviour of a particular robot. Thirty-one autism education staff participated, representing a range of special education settings and age groups as well as multiple professional roles (e.g., teachers, teaching assistants, speech, and language therapists). Thematic analysis of the interview transcripts identified four themes: Engagingness of robots, Predictability and consistency, Roles of robots in autism education, and Need for children to interact with people, not robots. Although almost all interviewees were receptive toward using humanoid robots in the classroom, they were not uncritically approving. Rather, they perceived future robot use as likely posing a series of complex cost-benefit trade-offs over time. For example, they felt that a highly motivating, predictable social robot might increase children's readiness to learn in the classroom, but it could also prevent children from engaging fully with other people or activities. Educator views also assumed that skills learned with a robot would generalise, and that robots' predictability is beneficial for autistic children—claims that need further supporting evidence. These interview results offer many points of guidance to the HRI research community about how humanoid robots could meet the specific needs of autistic learners, as well as identifying issues that will need to be resolved for robots to be both acceptable and successfully deployed in special education contexts.

Design and Development for Individuals with ASD: Fostering Multidisciplinary Approaches Through Personas

Developing technologies to support individuals with ASD is a growing field of research facing numerous challenges. First, while the individual with ASD is central, the motivations of others, such as parents, are often taken as the motivations of the individual. Second, the desirable cross-disciplinary pollination for improved intervention can often face difficulties due to a lack of a common language among disciplines. Thirdly, the literature often lacks enough information to allow a clear understanding of the targeted contexts and goals not enabling an assessment of outcomes and building on past advances. To tackle these challenges, we propose that families of Personas and scenarios are used throughout the design and development process, and as dissemination resources, and provide illustrative examples.

The State of Virtual and Augmented Reality Therapy for Autism Spectrum Disorder (ASD)

Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition affecting a growing number of individuals across the lifespan. It is characterized by observable impairments in social communication, as well as repetitive behaviors and restricted patterns of interests. Early, intensive behavioral interventions improve long-term outcomes in ASD, but are often expensive and hard to administer consistently. This chapter describes a new approach to autism intervention, using highly motivating virtual reality (VR) and augmented reality (AR) technologies that could soon support traditional autism therapies across ages and ability levels. The chapter begins by reviewing the ASD phenotype, followed by a review of the current landscape of research on VR and AR in ASD. A discussion of ASD-specific benefits and risks is followed by a presentation of new, harnessed immersive VR technology from Floreo, Inc. Finally, we propose a series of future research directions.

A pilot community-based randomized comparison of speech generating devices and the picture exchange communication system for children diagnosed with autism spectrum disorder

A pilot community-based randomized controlled trial was conducted to compare the effects of the Picture Exchange Communication System (PECS) to a teaching sequence using a high-tech Speech Generating Device (SGD) to teach social communication behaviors. The two approaches were compared to evaluate the effectiveness of the newer, more high-tech intervention using technology to improve social and communicative behavior of children diagnosed with Autism Spectrum Disorder. A total of 35 school-age children were randomized to either a high-tech (SGD device) or low-tech (PECS cards) form of Augmentative and Alternative Communication (AAC). Study participants received 4 months of communication training delivered in their classrooms, and the primary outcome measures of the trial were several functional communication skills emphasized in the PECS teaching sequence. Results indicated that both high-tech and low-tech AAC approaches resulted in significant improvements in communication, and that these improvements did not differ significantly between the two approaches. These findings support the use of high-tech AAC, and highlight the need for evidence-based guidelines for its use as well as evaluation with individuals with a range impairments and disabilities. Autism Research 2018, 11: 1701-1711. © 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: This study compared the effectiveness of a free and open-source app for teaching social and communicative behavior to children with autism spectrum disorder (ASD) to traditional picture card approaches. Thirty-five children with ASD were randomized to a picture card or app-based intervention and both treatment approaches resulted in significant improvements in social and communicative behavior. These data indicated that both "high-tech" and "low-tech" interventions were effective for improving behavior and that there was not a significant difference between the two approaches.

Introduction to Technologies in the Daily Lives of Individuals with Autism

In this introduction to the Special Issue on Technology we explore the continued evolution of technologies designed to help individuals with autism. Through review articles, empirical reports, and perspectives, we examine how far the field has come and how much further we still can go. Notably, even as we highlight the continuing need for larger empirical studies of autism-focused technology, we note how improvements in the portability, sophistication, ubiquity, and reach of daily technologies are providing new opportunities for research, education, enhancement, knowledge, and inspiration. We conclude by discussing how the next generation of technologies may leverage the increasing promise of big-data approaches to move us towards a future where technology is more personal, more relevant, and pervasively transformative.

Mapping Robots to Therapy and Educational Objectives for Children with Autism Spectrum Disorder

The aim of this study was to increase knowledge on therapy and educational objectives professionals work on with children with autism spectrum disorder (ASD) and to identify corresponding state of the art robots. Focus group sessions (n = 9) with ASD professionals (n = 53) from nine organisations were carried out to create an objectives overview, followed by a systematic literature study to identify state of the art robots matching these objectives. Professionals identified many ASD objectives (n = 74) in 9 different domains. State of the art robots addressed 24 of these objectives in 8 domains. Robots can potentially be applied to a large scope of objectives for children with ASD. This objectives overview functions as a base to guide development of robot interventions for these children.