Robot Assistive Therapy Strategies for Children with Autism

Background: Autism spectrum disorder (ASD) is a category of neurodevelopmental disorder characterized by persistent deficits in social communication and social interaction across multiple contexts as well as restricted, repetitive patterns of behaviour, interests, or activities. Social robots offer clinicians new ways to interact and work with people with ASD. Robot-Assisted Training (RAT) is a growing body of research in HRI, which studies how robots can assist and enhance human skills during a task-centred interaction. RAT systems have a wide range of application for children with ASD. Aims: In a pilot RCT with an experimental group and a control group, research aims will be: to assess group differences in repetitive and maladaptive behaviours (RMBs), affective states and performance tasks across sessions and within each group; to assess the perception of family relationships between two groups before and post robot interaction; to develop a robotic app capable to run Raven’s Progressive Matrices (RPM), a test typically used to measure general human intelligence and to compare the accuracy of the robot to capture the data with that run by psychologists. Material and Methods: Patients with mild or moderate level of ASD will be enrolled in the study which will last 3 years. The sample size is: 60 patients (30 patients will be located in the experimental group and 30 patients will be located in the control group) indicated by an evaluation of the estimated enrolment time. Inclusion criteria will be the following: eligibility of children confirmed using the Autism Diagnostic Observation Schedule −2; age ≥ 7 years; clinician judgment during a clinical psychology evaluation; written parental consent approved by the local ethical committee. The study will be conducted over 10 weeks for each participant, with the pretest and post test conducted during the first and last weeks of the study. The training will be provided over the intermediate eight weeks, with one session provided each week, for a total of 8 sessions. Baseline and follow-up evaluation include: socioeconomic status of families will be assessed using the Hollingshead scale; Social Communication Questionnaire (SCQ) will be used to screen the communication skills and social functioning in children with ASD; Vineland Adaptive Behavior Scale, 2nd edition (VABS) will be used to assess the capabilities of children in dealing with everyday life; severity and variety of children’s ripetitive behaviours will be also assessed using Repetitive Behavior Scale-Revised (RBS-R). Moreover, the perception of family relationships assessment will be run by Portfolio for the validation of parental acceptance and refusal (PARENTS). Expected Results: 1) improbe communication skills; 2) reduced repetitive and maladaptive behaviors; 3) more positive perception of family relationships; 4) improved performance. Conclusions: Robot-Assisted Training aims to train and enhance user (physical or cognitive) skills, through the interaction, and not assist users to complete a task thus a target is to enhance user performance by providing personalized and targeted assistance towards maximizing training and learning effects. Robotics systems can be used to manage therapy sessions, gather and analyse data and like interactions with the patient and generate useful information in the form of reports and graphs, thus are a powerful tool for the therapist to check patient’s progress and facilitate diagnosis

A Pilot Study on Facial Expression Recognition Ability of Autistic Children Using Ryan, a Rear-Projected Humanoid Robot

Rear-projected robots use computer graphics technology to create facial animations and project them on a mask to show the robot’s facial cues and expressions. These types of robots are becoming commercially available, though more research is required to understand how they can be effectively used as a socially assistive robotic agent. This paper presents the results of a pilot study on comparing the facial expression recognition abilities of children with Autism Spectrum Disorder (ASD) with typically developing (TD) children using a rear-projected humanoid robot called Ryan. Six children with ASD and six TD children participated in this research, where Ryan showed them six basic expressions (i.e. anger, disgust, fear, happiness, sadness, and surprise) with different intensity levels. Participants were asked to identify the expressions portrayed by Ryan. The results of our study show that there is not any general impairment in expression recognition ability of the ASD group comparing to the TD control group; however, both groups showed deficiencies in identifying disgust and fear. Increasing the intensity of Ryan’s facial expressions significantly improved the expression recognition accuracy. Both groups were successful to recognize the expressions demonstrated by Ryan with high average accuracy

Procedural-Reasoning Architecture for Applied Behavior Analysis-based Instructions

Autism Spectrum Disorder (ASD) is a complex developmental disability affecting as many as 1 in every 88 children. While there is no known cure for ASD, there are known behavioral and developmental interventions, based on demonstrated efficacy, that have become the predominant treatments for improving social, adaptive, and behavioral functions in children. Applied Behavioral Analysis (ABA)-based early childhood interventions are evidence based, efficacious therapies for autism that are widely recognized as effective approaches to remediation of the symptoms of ASD. They are, however, labor intensive and consequently often inaccessible at the recommended levels. Recent advancements in socially assistive robotics and applications of virtual intelligent agents have shown that children with ASD accept intelligent agents as effective and often preferred substitutes for human therapists. This research is nascent and highly experimental with no unifying, interdisciplinary, and integral approach to development of intelligent agents based therapies, especially not in the area of behavioral interventions. Motivated by the absence of the unifying framework, we developed a conceptual procedural-reasoning agent architecture (PRA-ABA) that, we propose, could serve as a foundation for ABA-based assistive technologies involving virtual, mixed or embodied agents, including robots. This architecture and related research presented in this disser- tation encompass two main areas: (a) knowledge representation and computational model of the behavioral aspects of ABA as applicable to autism intervention practices, and (b) abstract architecture for multi-modal, agent-mediated implementation of these practices

Applications of Robotics for Autism Spectrum Disorder: a Scoping Review

Robotic therapies are receiving growing interest in the autism field, especially for the improvement of social skills of children, enhancing traditional human interventions. In this work, we conduct a scoping review of the literature in robotics for autism, providing the largest review on this field from the last five years. Our work underlines the need to better characterize participants and to increase the sample size. It is also important to develop homogeneous training protocols to analyse and compare the results. Nevertheless, 7 out of the 10 Randomized control trials reported a significant impact of robotic therapy. Overall, robot autonomy, adaptability and personalization as well as more standardized outcome measures were pointed as the most critical issues to address in future research

A Music-Therapy Robotic Platform for Children with Autism: A Pilot Study

Children with Autism Spectrum Disorder (ASD) experience deficits in verbal and nonverbal communication skills including motor control, turn-taking, and emotion recognition. Innovative technology, such as socially assistive robots, has shown to be a viable method for Autism therapy. This paper presents a novel robot-based music-therapy platform for modeling and improving the social responses and behaviors of children with ASD. Our autonomous social interactive system consists of three modules. Module one provides an autonomous initiative positioning system for the robot, NAO, to properly localize and play the instrument (Xylophone) using the robot’s arms. Module two allows NAO to play customized songs composed by individuals. Module three provides a real-life music therapy experience to the users. We adopted Short-time Fourier Transform and Levenshtein distance to fulfill the design requirements: 1) “music detection” and 2) “smart scoring and feedback”, which allows NAO to understand music and provide additional practice and oral feedback to the users as applicable. We designed and implemented six Human-Robot-Interaction (HRI) sessions including four intervention sessions. Nine children with ASD and seven Typically Developing participated in a total of fifty HRI experimental sessions. Using our platform, we collected and analyzed data on social behavioral changes and emotion recognition using Electrodermal Activity (EDA) signals. The results of our experiments demonstrate most of the participants were able to complete motor control tasks with 70% accuracy. Six out of the nine ASD participants showed stable turn-taking behavior when playing music. The results of automated emotion classification using Support Vector Machines illustrates that emotional arousal in the ASD group can be detected and well recognized via EDA bio-signals. In summary, the results of our data analyses, including emotion classification using EDA signals, indicate that the proposed robot-music based therapy platform is an attractive and promising assistive tool to facilitate the improvement of fine motor control and turn-taking skills in children with ASD

Examining engagement and achievement in learners with individual needs through robotic-based teaching sessions

Research suggests that robotics can provide an engaging learning experience for learners with special educational needs. However, further work is required to explore the impact of robots within the classroom, particularly for learners with intellectual disabilities (ID). This paper seeks to further explore the potential effects of robots on such learners through examining engagement and goal achievement within teaching sessions. Eleven participants with ID were recruited from two countries to take part in the study using an ABAB design where the participants acted as their own controls. An appropriate learning goal for each participant was selected by the teacher and equivalent control sessions designed seeking to achieve the same learning goal but without the robot. Engagement, using eye‐gaze, learning goal achievement with and without help and goals not achieved provided the outcome measures from the sessions. This study found no significant difference between the robot and the control sessions for any of the outcome measures utilized suggesting robots are as effective as teaching tools as traditional methods. Through an increased sample size and a rigorously applied experimental protocol, this study provides new data and methodological considerations for further work based on the techniques applied in this study

The Use of Socially Assistive Robots with Autistic Children

The use of socially assistive robots (SARs) appears to facilitate learning, social and communication, and collaborative play in autistic children, though rigorous research to drive translation into everyday practice is limited. This thesis, comprised of four studies, was aimed at providing a comprehesive overview of how SARs have been used with young autistic people, to identify the factors that might encourage their future use, and to consider the scope of SAR benefit for autistic youth via secondary data analysis from a specific SAR support programme. The first chapters provide an overview of autism, theories, and models, and the available psychosocial support for autistic children and their families as per current practice. Within this, the different SARs types used in autism research are described followed by an outiline of the rationale for each study design methodology to address the aims of this thesis. Chapter 4 presents an up-to-date evidence summary of the nature of SARs research in autism reporting that robot-mediated support has predominantly been administered in autism clinics/centers with benefits in the social and communication skills of autistic children. Chapter 5 explores parents’/carers’ knowledge and preferences about the use of smartphones, iPods, tablets, virtual reality, robots or other technologies to support the specific needs/interests of autistic children offering guidance on how to extend the benefits of the systematic review findings. The online survey reported that 59% of parents/carers mostly preferred a tablet, followed by virtual reality and then robots that were the least preferred technologies due to being immersive, unrealistic or an unknown technology. To delve deeper into parent views about SARs, chapter 6 provides data from 12 individual interviews and one focus group with parents of autistic children. Parents were receptive to the use of a robot-mediated support acknowledging that the predictability, consistency and scaffolding of robots might facilitate learning in autism. Independent living skills and social and communication skills were the two domains of focus in future robot-mediated support with autistic children. Such a finding indicates that there may be scope to extent robots in the autism community. The final data analysed in chapter 7 draws on ten video recordings of autistic children exploring the effect of triadic robot-mediated support with a human therapist alongside a humanoid robot, called Kaspar, compared to a dyadic interaction with a human therapist alone on the development of children’s joint attention skills. Retrospective data analysis here showed no statistically significant difference in the joint attention skills of autistic children in the human therapist compared to the robot-mediated group nor in their skills from the first to the last session in either group. A statistically significant difference was observed on the requests for social games which improved from the first to the last session in the human therapist group. This study highlights the challenges SARs research facing to evidence demonstrable impact on everyday life skills as a driver of parent and child buy-in to this type of support. Taken together, the studies in this thesis suggest that SARs have a role in autism support, mainly in social and communication domains. Parents/carers have valid reasons for preferring other types of technology support though when asked to think about SARs, they do acknowledge ways in which robots may be advantegous. Existing data and secondary analysis reported that rigour in reporting the way that SARs may benefit skills development is needed and that life skills impact may be difficult to assess over a short-term period. To take SARs research forward, it is imperative to deepen partenships with autism stakeholders to ensure fit for purpose skills selection, measurement of impact, and take up of support to expand benefit