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

The use of social robots with children and young people on the autism spectrum: A systematic review and meta-analysis

© 2022 Kouroupa et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, https://creativecommons.org/licenses/by/4.0/Background: Robot-mediated interventions show promise in supporting the development of children on the autism spectrum. Objectives: In this systematic review and meta-analysis, we summarize key features of available evidence on robot-interventions for children and young people on the autism spectrum aged up to 18 years old, as well as consider their efficacy for specific domains of learning. Data sources: PubMed, Scopus, EBSCOhost, Google Scholar, Cochrane Library, ACM Digital Library, and IEEE Xplore. Grey literature was also searched using PsycExtra, OpenGrey, British Library EThOS, and the British Library Catalogue. Databases were searched from inception until April (6th) 2021. Synthesis methods: Searches undertaken across seven databases yielded 2145 articles. Forty studies met our review inclusion criteria of which 17 were randomized control trials. The methodological quality of studies was conducted with the Quality Assessment Tool for Quantitative Studies. A narrative synthesis summarised the findings. A meta-analysis was conducted with 12 RCTs. Results: Most interventions used humanoid (67%) robotic platforms, were predominantly based in clinics (37%) followed home, schools and laboratory (17% respectively) environments and targeted at improving social and communication skills (77%). Focusing on the most common outcomes, a random effects meta-analysis of RCTs showed that robot-mediated interventions significantly improved social functioning (g = 0.35 [95%CI 0.09 to 0.61; k = 7). By contrast, robots did not improve emotional (g = 0.63 [95%CI -1.43 to 2.69]; k = 2) or motor outcomes (g = -0.10 [95%CI -1.08 to 0.89]; k = 3), but the numbers of trials were very small. Meta-regression revealed that age accounted for almost one-third of the variance in effect sizes, with greater benefits being found in younger children. Conclusions: Overall, our findings support the use of robot-mediated interventions for autistic children and youth, and we propose several recommendations for future research to aid learning and enhance implementation in everyday settings. PROSPERO registration: Our methods were preregistered in the PROSPERO database (CRD42019148981).Peer reviewe

Social robots: a promising tool to support people with autism. A systematic review of recent research and critical analysis from the clinical perspective

In the past decade, interdisciplinary research has revealed the potential benefits of using social robots in the care of individuals with autism. There is a growing interest in integrating social robots into clinical practice. However, while significant efforts have been made to develop and test the technical aspects, clinical validation and implementation lag behind. This article presents a systematic literature review from a clinical perspective, focusing on articles that demonstrate clinical relevance through experimental studies. These studies are analysed and critically discussed in terms of their integration into healthcare and care practices. The goal is to assist healthcare professionals in identifying opportunities and limitations in their practice and to promote further interdisciplinary cooperation

Seeing more than human: Autism and anthropomorphic theory of mind

Theory of mind (ToM) is defined as the process of taking another’s perspective. Anthropomorphism can be seen as the extension of ToM to non-human entities. This review examines the literature concerning ToM and anthropomorphism in relation to individuals with Autism Spectrum Disorder (ASD), specifically addressing the questions of how and why those on the spectrum both show an increased interest for anthropomorphism and may even show improved ToM abilities when judging the mental states of anthropomorphic characters. This review highlights that while individuals with ASD traditionally show deficits on a wide range of ToM tests, such as recognizing facial emotions, such ToM deficits may be ameliorated if the stimuli presented is cartoon or animal-like rather than human form. Individuals with ASD show a greater interest in anthropomorphic characters and process the features of these characters using methods typically reserved for human stimuli. Personal accounts of individuals with ASD also suggest they may identify more closely with animals than other humans. It is shown how the social motivations hypothesized to underlie the anthropomorphizing of non-human targets may lead those on the spectrum to seek social connections and therefore gain ToM experience and expertise amongst unlikely sources

Effect of sensory-based technologies on atypical sensory responses of children with Autism Spectrum Disorder: A systematic review

© 2021 ACM, Inc. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1145/3485768.3485782.Atypical sensory responses are one of the most common issues observed in Autism Spectrum Disorder (ASD), affecting the development of a child's capability for social interaction, independent living and learning. In the past two decades, there has been a growing number of studies of technology-based interventions for atypical sensory responses of individuals with ASD. However, their effects and limitations have not been fully examined. This systematic review investigates the effects of sensory-based technologies (SBTs) on atypical sensory responses of children with ASD. Publications that report on the use of a SBT as an intervention tool were retrieved from four academic databases: “PubMed”, “IEEE Xplore”, “ACM Digital Library” and “Web of Science”. The search finally yielded 18 articles. The results indicated an emerging trend of studies investigating the effects of SBTs on atypical sensory responses over the past decade. Challenges and limitations were found in studies, mainly because the literatures adopted different methods and indicators, small sample sizes, and varying experimental designs. Findings were that the use of SBTs could effectively improve auditory and visual recognition, and some other behavioural outcomes such as attention in children with ASD. Future development of SBTs could further integrate more advanced techniques, such as machine learning, in order to widen the scope of SBTs usage to help more ASD children

Feasibility of a smartphone application to identify young children at risk for Autism Spectrum Disorder in a low-income community setting in South Africa

Introduction and aims More than 90% of children with Autism Spectrum Disorder (ASD) live in low- and middle-income countries (LMIC) where there is a great need for culturally appropriate, scalable and effective early identification and intervention tools. Smartphone technology and application (‘apps’) may potentially play an important role in this regard. The Autism&Beyond iPhone App was designed as a potential screening tool for ASD risk in children aged 12-72 months. Here we investigated the technical feasibility and cultural acceptability of a smartphone app to determine risk for ASD in children aged 12-72 months in a naturalistic, low-income South African community setting. Methodology 37 typically-developing African children and their parents/carers were recruited from community centres in Khayelitsha Township, Cape Town, South Africa. We implemented a mixed-methods design, collecting both quantitative and qualitative data from participants in 2 stages. In stage 1, we collected quantitative data. With appropriate ethics and consent, parents completed a short technology questionnaire about their familiarity with and access to smartphones, internet and apps, followed by electronic iPhone-based demographic and ASD-related questionnaires. Next, children were shown 3 short videos of 30s each and a mirror stimulus on a study smartphone. The smartphone front facing (“selfie”) camera recorded video of the child’s facial expressions and head movement. Automated computer algorithms quantified positive emotions and time attending to stimuli. We validated the automatic coding by a) comparing the computer-generated analysis to human coding of facial expressions in a random sample (N=9), and b) comparing automated analysis of the South African data (N=33) with a matched American sample (N=33). In stage 2, a subset of families were invited to participate in focus group discussions to provide qualitative data on accessibility, acceptability, and cultural appropriateness of the app in their local community. Results Most parents (64%) owned a smartphone of which all (100%) were Android based, and many used Apps (45%). Human-automated coding showed excellent correlation for positive emotion (ICC= 0.95, 95% CI 0.81-0.99) and no statistically significant differences were observed between the South African and American sample in % time attending to the video stimuli. South African children, however, smiled less at the Toys&Rhymes (SA mean (SD) = 14% (24); USA mean (SD) = 31% (34); p=0.05) and Bunny video (SA mean (SD) = 12% (17); USA mean (SD) = 30% (0.27); p=0.006). Analysis of focus group data indicated that parents/carers found the App relatively easy to use, and would recommend it to others in their community provided the App and data transfer were free. Conclusion The results from this pilot study suggested the App to be technically accurate, accessible and culturally acceptable to families from a low-resource environment in South Africa. Given the differences in positive emotional response between the groups, careful consideration should be given to identify suitable stimuli if % time smiling is to be used as a global marker for autism risk across cultures and environments

Expressive visual text-to-speech as an assistive technology for individuals with autism spectrum conditions.

Adults with Autism Spectrum Conditions (ASC) experience marked difficulties in recognising the emotions of others and responding appropriately. The clinical characteristics of ASC mean that face to face or group interventions may not be appropriate for this clinical group. This article explores the potential of a new interactive technology, converting text to emotionally expressive speech, to improve emotion processing ability and attention to faces in adults with ASC. We demonstrate a method for generating a near-videorealistic avatar (XpressiveTalk), which can produce a video of a face uttering inputted text, in a large variety of emotional tones. We then demonstrate that general population adults can correctly recognize the emotions portrayed by XpressiveTalk. Adults with ASC are significantly less accurate than controls, but still above chance levels for inferring emotions from XpressiveTalk. Both groups are significantly more accurate when inferring sad emotions from XpressiveTalk compared to the original actress, and rate these expressions as significantly more preferred and realistic. The potential applications for XpressiveTalk as an assistive technology for adults with ASC is discussed.This research was conducted during an international research internship towards an MSc (Res) degree at Maastricht University, funded by Erasmus. This research also received support from the Centre for Psychology, Behaviour and Achievement, Coventry University, UK; the Autism Research Trust; the Medical Research Council UK; and the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care East of England at Cambridgeshire and Peterborough NHS Foundation Trust

Design of a robotic toy and user interfaces for autism spectrum disorder risk assessment

Autism Spectrum Disorder (ASD) is an umbrella term for a spectrum of complex developmental disorders resulting in deficits in social communication and repetitive and stereotyped behaviors. According to research conducted in 2014, one in every 68 children in the United States is diagnosed with ASD. Despite this observation, there is no national screening system in Turkey, and screenings are not conducted systematically. Research in the area revealed that individuals with ASD are more interested in interact with technology (e.g. computers, iPad, robots, etc.) than human beings. This thesis includes research into how to design and use technology to create suitable products for deficits of ASD. With all of the concern over the high prevalence ratios of ASD, this thesis presents the methodology and design of a risk assessment device, which aims to capture the interest of children with ASD aged 3-4, and direct children who score low on the tests towards a diagnosis. In particular, the tests in the device focus on Theory of Mind (ToM) development and designed to detect differences with ToM tests between ASD and Typically Developing (TD) children. In the scope of the thesis, 2D illustrations, interface design, and outer shell design of the device are created in compliance with the research data in the field. Finally, outer shell design is 3D printed, and then surface is sanded and spray-painted

The use of tablets to encourage the development of joint attention skills in children with autism spectrum disorder

The aim of this research was to explore ways in which iPads and other mobile tablets can be used in the classroom and home environment to support children with autism spectrum disorder in the area of joint attention skills. It focused on understanding the nature and importance of these skills in children with autism according to the participants’ experiences and on investigating the use and potential of mobile tablets in contributing to the development of joint attention skills. The research drew upon the transactional model of child development and followed an action research design. Reflection on the initial findings generated plans for change, which then shaped the next stages of the research. Interviews, observations, focus groups studies were carried out to investigate the level of understanding of joint attention skills and how their development is currently supported in the classroom and home environment; and to observe such support in the classroom especially when mediated through iPads. These studies, together with focus groups with key stakeholders led to the development of guidelines on how teachers and parents can use mobile tablets to support the development of joint attention skills in home and primary schools (Reception-Key Stage 2). These were developed and refined in consultation with teachers, parents, children and academics. This was the first study that measured the number of times children initiated and responded to joint attention and the number of times teachers used strategies to gain, sustain and redirect a child’s attention with and without the use of technology in a school setting.The findings showed that children were more times engaged in joint attention when using the iPads than without. The participants were not familiar with the term joint attention but used the term social communication to refer to the child’s ability to share interest, keep eye contact, take turns in an interaction or game, follow gaze and pointing, understand other’s feelings and interact with others by using symbols, speech or gestures. Both parents and teachers used evidence based strategies when interacting with the children but the need for guidance on how to use the mobile tablets was highlighted. The proposed guidelines include evidence based strategies, tablet based activities, and criteria on how to select mobile applications. They aim to help teachers reflect on and improve their teaching practice, as well as urge parents to use the tablet with their child in more collaborative ways. It is suggested that future studies should focus on bridging the gap between theory and practice by investigating the practitioners’ perspectives and experiences in developing joint attention and social communication skills in children with autism with the use of mobile interactive technologies in naturalistic settings

Improving social and behavioural functioning in children with autism spectrum disorder: a videogame skills based feasibility trial

This thesis assessed the feasibility of using specifically designed video-games to improve functioning in children with autism spectrum disorder. The findings provide preliminary evidence supporting the use of Whiz Kid Games (a freely accessible, online, video-game based intervention) for improving both social and behavioural functioning in children aged 6-12 who have been diagnosed with autism.<br /