A Computational View Of Autism

This book first explains autism, its prevalence, and some conventional intervention techniques, and it then describes how virtual reality technology can support autism intervention and skills training. The approaches and technologies covered include immersive virtual reality, augmented reality and mixed reality. The tasks covered include emotion recognition, affective computing, teaching communication skills, imparting literacy skills, training for imitation skills, and joint attention skills. Most of the chapters assume no prerequisite knowledge of autism or virtual reality, and they are supported throughout with detailed references for further investigation. While the author is an engineer by profession, with specialist knowledge in robotics and computer-based platforms, in this book she adopts a user perspective and cites many real-life examples from her own experience. The book is suitable for students of cognitive science, and researchers and practitioners engaged with designing and offering technological assistance for special needs training.

This book explores and evaluates accounts and models of autistic reasoning and cognition from a computational standpoint. The author investigates the limitations and peculiarities of autistic reasoning and sets out a remediation strategy to be used by a wide range of psychologists and rehabilitation personnel and will also be appreciated by computer scientists who are interested in the practical implementation of reasoning. The author subjects the Theory of Mind (ToM) model to a formal analysis to investigate the limitations of autistic reasoning and proposes a formal model regarding mental attitudes and proposes a method to help those with autism navigate everyday living. Based on the concept of playing with computer based mental simulators, the NL_MAMS, is examined to see whether it is capable of modeling mental and emotional states of the real world to aid the emotional development of autistic children. Multiple autistic theories and strategies are also examined for possible computational cross-overs, providing researchers with a wide range of examples, tools and detailed case studies to work from. Computational Autism will be an essential read to behavioral specialists, researcher’s, developers and designers who are interested in understanding and tackling the increasing prevalence of autism within modern society today.

The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May – June 2022. The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings: Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications, Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.

Written accessibly from the user’s perspective, Introducing Therapeutic Robotics for Autism is a must read for researchers from related disciplinary backgrounds including robotics, educational psychology, cognitive sciences, and ASD.

Inclusive education remains a significant challenge in today's educational landscape, as K-12 classrooms and higher education institutions struggle to meet the diverse needs of all students. To address this pressing issue, Developing Inclusive Environments in Education: Global Practices and Curricula, led by Kiyoji Koreeda, offers practical strategies and insights. The book explores the Universal Design for Learning (UDL) framework, providing a comprehensive guide to making learning inclusive and transformative. It showcases global examples of universal design curricula and highlights the use of educational technologies to facilitate inclusive learning experiences. By focusing on practical activities and support systems, the book empowers educators to build inclusive classrooms and higher education settings, offering detailed descriptions of useful tools and software for personalized teaching materials and reasonable accommodations. Developing Inclusive Environments in Education is an essential resource for researchers and educators committed to fostering inclusive practices and creating transformative educational environments. Embracing the strategies and insights presented in this book allows researchers and educators to revolutionize their approach to education. They can create inclusive environments that support the success and well-being of every student, ensuring that no one is left behind. By adopting the practical guidance and leveraging the examples provided, educators can implement inclusive practices and transform their classrooms and educational settings to meet the diverse needs of learners worldwide. This transformative approach empowers educators to utilize advanced curricula, leverage educational technologies, and implement personalized teaching materials and accommodations, ultimately creating an environment where all students can thrive. Developing Inclusive Environments in Educationserves as a valuable resource, equipping educators with the necessary knowledge and tools to build inclusive and transformative educational environments.

This book offers a fresh look at recent developments in policy, curricula and pedagogical discourse around children’s play with Internet of Toys (IoToys). By expanding the notion of digital and smart play perspectives in early childhood education, the authors critique and develop the broader subject area of IoToys play to better serve its end users. The book brings together research from across three different countries: Australia, Norway and England. It offers tangible examples of how one can use IoToys to build children’s social skills, emotional intelligence, sense of achievement, collaboration and aspects of STEM and design play thinking processes. The learning stories of children’s IoToys play will deliver a comprehensive review of how practitioners and parents can come together to build communities of practice for (re)enhancing children’s learning and growth using evolving technology-based play and engage in paradigmatic debates. Readers as a result will better appreciate the growth in pragmatic applications of technologies together with theoretical perspectives. The book will be a valuable resource for any academic or practitioner just beginning to understand the complexities and success stories of integrating IoToys for children’s playful learning.

Children who have autism require comprehensive educational and treatment services. There are a myriad of approaches currently recommended to practitioners and parents, but little is known about their efficacy. Which are the most effective in teaching skills, overcoming behavior challenges, and improving quality of life? Methods must be based in research settings, but be easily extended to real world settings where children with autism live, go to school, socialize, and recreate. Identifying and validating effective practices is a complex and multi-faceted process, but an essential one for responsible research and practice. This book brings together multiple and contemporary perspectives on intervention effectiveness for autism education and behavior support. With contributors from a variety of disciplines and orientations, Effective Practices for Children with Autism presents a critical appraisal of current practice standards, emphasizing empirically supported procedures and research-to-practice applications. By bringing together a diverse group of authors, the editors have ensured that the vast field of information on interventions for children with autism is thoroughly examined, and that no topic has gone untouched. Written for practitioners, research scientists, and clinicians, the book is an essential framework for evaluating educational and treatment procedures, selecting those that are most effective, and evaluating outcomes.

Autism Spectrum Disorders (ASD) is portrayed as cognitive and social disorders. Undoubtedly, impairments in communication and restricted-repetitive behaviors that now define the disorders have a profound impact on social interactions. But can we go beyond the descriptive, observational nature of this definition and objectively measure that amalgamate of motions and sensations that we call behavior? In this Research Topic we bring movement and its sensation to the forefront of autism research, diagnosis, and treatment. We gather researchers across disciplines with the unifying goal of recognizing movement and sensory disturbances as core symptoms of the disorder. We also hear confirmation from the perspective of autism self-advocates and parents. Those important sources of evidence along with the research presented in this topic demonstrate without a doubt that profound movement and sensory differences do exist in ASD and that they are quantifiable. The work presented in this Research Topic shows us that quantifiable differences in movements have a better chance than current observational techniques to help us uncover subtle solutions that the nervous system with autism has already spontaneously self-discovered and utilized in daily living. Where the naked eye would miss the unique subtleties that help each individual cope, instrumentation and fine kinematic analyses of motions help us uncover inherent capacities and predispositions of the person with autism. The work presented in this topic helps us better articulate through the voices of parents and self-advocates those sensory motor differences that current inventories could not possibly uncover. These differences are seldom perceived as they take place at timescales and frequencies that fall largely beneath our conscious awareness. To the person in the spectrum living with this disorder and to the caregiver creating accommodations to help the affected loved one, these subtleties are very familiar though. Indeed they are often used in clever ways to facilitate daily routines. We have waited much too long in science to listen to the very people that we are trying to define, understand and help. Being autism a social problem by definition, it is remarkable that not a single diagnosis inventory measures the dyadic social interaction that takes place between the examiner and the examinees. Indeed we have conceived the autistic person within a social context where we are incapable –by definition– of accepting those differences. The burden is rather placed on the affected person to whom much too often we refer to in the third person as “non-verbal, without intentionality, without empathy or emotions, without a theory of mind”, among other purely psychological guesses. It is then too easy and shockingly allowed to “reshape” that person, to mold that person to better conform to our social expectations and to extinguish “behaviors” that are socially unacceptable, even through the use of aversive punishing reinforcement techniques if need be. And yet none of those techniques have had a single shred of objective scientific evidence of their effectiveness. We have not objectively measured once, nor have we physiologically characterized once any of those perceived features that we so often use to observationally define what we may think the autistic phenotype may be. We have not properly quantified, beyond paper-and-pencil methods, the effectiveness of interventions in autism. Let us not forget when we do our science, that we are all part of the broad human spectrum.