Evaluation of a robot-assisted therapy for children with autism and intellectual disability

It is well established that robots can be suitable assistants in the care and treatment of children with Autism Spectrum Disorder (ASD). However, the majority of the research focuses on stand-alone interventions, high-functioning individuals and the success is evaluated via qualitative analysis of videos recorded during the interaction. In this paper, we present a preliminary evaluation of our on-going research on integrating robot-assisted therapy in the treatment of children with ASD and Intellectual Disability (ID), which is the most common case. The experiment described here integrates a robot-assisted imitation training in the standard treat‐ ment of six hospitalised children with various level of ID, who were engaged by a robot on imitative tasks and their progress assessed via a quantitative psycho- diagnostic tool. Results show success in the training and encourage the use of a robotic assistant in the care of children with ASD and ID with the exception of those with profound ID, who may need a different approach

Brief review of robotics in low-functioning autism therapy

© 2020 CEUR-WS. All rights reserved. In the last decade, numerous research studies showed that robots can be suitable assistants in the care and treatment of children with Autism Spectrum Disorder (ASD). Still, more investigation is required to fully assess the introduction of robotics assistants, as the majority of the studies was limited in numbers of participants and scope, e.g. by considering stand-alone interventions, High Functioning Autism (HFA) individuals only, and provided limited objective results, i.e. usually the success is evaluated via qualitative analysis of videos recorded during the interaction. In this paper, we present a brief review of the experience on integrating robotassisted therapy also in the treatment of children with Low-Functioning Autism (LFA) which is the most common case (>70%). Studies described here investigated the integration of a robot-assisted intervention in the training, and the results encourage the use of a robotic assistant also in LFA. Based on this experience, we suggest that current robotic technology is still at an experimental stage and require to actively involve all stakeholders in design of new robotic systems that can successfully account for the peculiar characteristics of ASD individuals

Mobile and Personal Learning for Newcomers to a City

Growing numbers of newcomers arrive in cities across the globe as temporary visitors or for longer periods of time. They often face communication challenges and need to learn a new language or improve their knowledge quickly. The article considers the domain of language learning for social integration and inclusion, what it means to be a newcomer to a city, and the role of mobile technologies in advancing a more personal approach to language learning. Mobile learning research explores innovative and practical solutions to the specific challenges faced by newcomers, and it revives, develops or reinterprets pedagogical methods and underlying learning theories. To illustrate this, three research projects conducted at The Open University, UK, focusing on migrants’ learning with mobile apps, are presented and reflected upon. Mobile learning experiences deliberately designed for newcomers to a city can support them in everyday language learning and in their efforts to explore their new environment. The article includes suggestions as to what seems to be missing from current apps for newcomers. It considers relevant issues and future directions for the design of mobile apps and services for this diverse target group

Designing for Autonomy, Competence and Relatedness in Robot-Assisted Language Learning

The current number of immigrants has risen quickly in recent years due to globalization. People move to another country for economic, educational, emotional, and other reasons. As a result, immigrants need to learn the host language to integrate into their new living environment. However, the process of learning the host language for adult immigrants faces many challenges. Among those challenges, maintaining intrinsic motivation is critical for a long-term language study process and the well-being of adult immigrants. Self-Determination Theory (SDT) is a popular theoretical framework that explains human motivation, especially intrinsic motivation, through a psychological approach to understand its nature. According to SDT, humans are intrinsically motivated through the satisfaction of the three basic needs of Autonomy, Competence, and Relatedness. Many researchers have applied the theory to different topics and directions, including language learning. On the other hand, social robots have been used extensively in the language learning context due to their physical embodiments and the application of artificial intelligence in robotics. Furthermore, research has proven that social robots can create a relaxed and engaging learning environment, thus motivating language learners. The thesis designs and implements a RALL application called SAMQ using QTrobot, a humanoid social robot capable of producing body gestures, displaying different facial expressions, and multilingual communication. The study aims to investigate SAMQ’s ability to evoke intrinsic motivations of adult immigrants in learning the Finnish language. While previous research focuses on English as the second language (L2) and targets children, this thesis’s L2 is Finnish, and the learners are adult immigrants. The thesis conducts semi-structured interviews during the Pre-study phase (N=6) to gather real insights from adult immigrants living in Finland, to understand demotivating factors in their language learning experience and the unsatisfied aspects of the three basic needs. The qualitative findings from the Pre-study contribute to the design and implementation of two versions of SAMQ, aiming at evoking intrinsic motivations through satisfying unmet needs. The first version is a Quiz-only program that tests several assumptions regarding human-robot interaction (HRI). The final version of SAMQ is a more comprehensive language learning application that supports two modes of study: Learning and Quizzes. It consists of multiple modifications that address all adult immigrants’ basic needs while additionally promoting intrinsic motivation through media. The final Evaluation of SAMQ (N=6) includes a questionnaire and a semi-structured interview. The quantitative results of the questionnaire validated the ability of using social robots to evoke adult learners’ intrinsic motivation in the RALL context. The qualitative findings from the research high-light the importance of social robots’ physical embodiments in eliciting intrinsic motivation for adult learners through satisfying Relatedness. In addition, the use of voice modality creates a genuine HRI for adult learners, fulfilling both Autonomy and Competence, resulting in an engaging and smooth learning experience. Besides that, the use of adult learners’ L1 plays a crucial role in facilitating a relaxed and familiar learning environment, supplying both Competence and Relatedness. Moreover, multimedia learning materials make the learning experience more vivid and attractive. Ultimately, the result shows that accessibility and flexibility are essential attributes for adult learners to maintain their motivation for long-term language study through the satisfaction of Autonomy. Finally, the thesis proposes a design guideline for the RALL context. It consists of five design implications for evoking intrinsic motivation in adult learners through satisfying the three basic psychological needs of Autonomy, Competence, and Relatedness. The design guideline acts as a proposal for future design and implementation of RALL programs for adults and contributes to developing the human-robot interaction field

Social/dialogical roles of social robots in supporting children's learning of language and literacy - A review and analysis of innovative roles

One of the many purposes for which social robots are designed is education, and there have been many attempts to systematize their potential in this field. What these attempts have in common is the recognition that learning can be supported in a variety of ways because a learner can be engaged in different activities that foster learning. Up to now, three roles have been proposed when designing these activities for robots: as a teacher or tutor, a learning peer, or a novice. Current research proposes that deciding in favor of one role over another depends on the content or preferred pedagogical form. However, the design of activities changes not only the content of learning, but also the nature of a human–robot social relationship. This is particularly important in language acquisition, which has been recognized as a social endeavor. The following review aims to specify the differences in human–robot social relationships when children learn language through interacting with a social robot. After proposing categories for comparing these different relationships, we review established and more specific, innovative roles that a robot can play in language-learning scenarios. This follows Mead’s (1946) theoretical approach proposing that social roles are performed in interactive acts. These acts are crucial for learning, because not only can they shape the social environment of learning but also engage the learner to different degrees. We specify the degree of engagement by referring to Chi’s (2009) progression of learning activities that range from active, constructive, toward interactive with the latter fostering deeper learning. Taken together, this approach enables us to compare and evaluate different human–robot social relationships that arise when applying a robot in a particular social role

An empirical study on integrating a small humanoid robot to support the therapy of children with Autism Spectrum Disorder and intellectual disability

Recent research showed the potential benefits of robot-assisted therapy in treating children with Autism Spectrum Disorder. These children often have some form of Intellectual Disability (ID) too, but this has mainly been neglected by previous robotics research. This article presents an empirical evaluation of robot-assisted imitation training, where the child imitated the robot, integrated into the Treatment and Education of Autistic and related Communication handicapped Children (TEACCH) program. The sample included six hospitalized children with different levels of ID, from mild to profound. We applied mixed methods to assess their progress, during treatment and three months later. Results show increased Gross Motor Imitation skills in the children, except for those with profound ID and the therapists' positive attitude towards the humanoid robot. Furthermore, the therapists suggest how a robot could be used to autonomously collect and analyze the information obtained in the rehabilitation training for a continuous evaluation of the participants

Deep learning systems for estimating visual attention in robot-assisted therapy of children with autism and intellectual disability

Recent studies suggest that some children with autism prefer robots as tutors for improving their social interaction and communication abilities which are impaired due to their disorder. Indeed, research has focused on developing a very promising form of intervention named Robot-Assisted Therapy. This area of intervention poses many challenges, including the necessary flexibility and adaptability to real unconstrained therapeutic settings, which are different from the constrained lab settings where most of the technology is typically tested. Among the most common impairments of children with autism and intellectual disability is social attention, which includes difficulties in establishing the correct visual focus of attention. This article presents an investigation on the use of novel deep learning neural network architectures for automatically estimating if the child is focusing their visual attention on the robot during a therapy session, which is an indicator of their engagement. To study the application, the authors gathered data from a clinical experiment in an unconstrained setting, which provided low-resolution videos recorded by the robot camera during the child–robot interaction. Two deep learning approaches are implemented in several variants and compared with a standard algorithm for face detection to verify the feasibility of estimating the status of the child directly from the robot sensors without relying on bulky external settings, which can distress the child with autism. One of the proposed approaches demonstrated a very high accuracy and it can be used for off-line continuous assessment during the therapy or for autonomously adapting the intervention in future robots with better computational capabilities

Staying engaged in child-robot interaction:A quantitative approach to studying preschoolers’ engagement with robots and tasks during second-language tutoring

Inleiding Covid-19 heeft laten zien dat onze traditionele manier van lesgeven steeds meer afhankelijk is van digitale hulpmiddelen. In de afgelopen jaren (2020-2021) hebben leerkrachten kinderen online les moeten geven en hebben ouders hun kinderen moeten begeleiden bij hun lesactiviteiten. Digitale instrumenten die het onderwijs kunnen ondersteunen zoals sociale robots, zouden uiterst nuttig zijn geweest voor leerkrachten. Robots die, in tegenstelling tot tablets, hun lichaam kunnen gebruiken om zich vergelijkbaar te gedragen als leerkrachten. Bijvoorbeeld door te gebaren tijdens het praten, waardoor kinderen zich beter kunnen concentreren wat een voordeel oplevert voor hun leerprestaties. Bovendien stellen robots, meer dan tablets, kinderen in staat tot een sociale interactie, wat vooral belangrijk is bij het leren van een tweede taal (L2). Hierover ging mijn promotietraject wat onderdeel was van het Horizon 2020 L2TOR project1, waarin zes verschillende universiteiten en twee bedrijven samenwerkten en onderzochten of een robot aan kleuters woorden uit een tweede taal kon leren. Een van de belangrijkste vragen in dit project was hoe we gedrag van de robot konden ontwikkelen dat kinderen betrokken (engaged) houdt. Betrokkenheid van kinderen is belangrijk zodat zij tijdens langere tijdsperiodes met de robot aan de slag willen. Om deze vraag te beantwoorden, heb ik meerdere studies uitgevoerd om het effect van de robot op de betrokkenheid van kinderen met de robot te onderzoeken, alsmede onderzoek te doen naar de perceptie die de kinderen van de robot hadden. 1Het L2TOR project leverde een grote bijdrage binnen het mens-robot interactie veld in de beweging richting publieke wetenschap. Alle L2TOR publicaties, de project deliverables, broncode en data zijn openbaar gemaakt via de website www.l2tor.eu en via www.github.nl/l2tor en de meeste studies werden vooraf geregistreerd

The nature and rationale of the robotic curriculum in elementary school

Background and Objective:As widespread changes have occurred in the community, the use of technology has also expanded. To effectively prepare for and cope with evolving of this century we need to design and develop special curricula. Educational robotics is an advanced technology that requires special attention. In the past few decades, robotics has attracted the attention of researchers and teachers as a valuable tool in developing cognitive / social skills of students and in supporting the learning of subjects in science, mathematics, language, and technology. There are several important reasons why young students should be exposed to robotics. As our world becomes more and more technologically advanced, students need to early experience so that to feel comfortable with and be aware of technology. In addition, the inclusion of robotics in the school curriculum will help prepare students to enter the job market with technological literacy. Robotics is an attractive approach to technology training due to its interdisciplinary nature, which requires expertise in a wide range of fields from mathematics to aesthetics. This can attract the interest and engagement of students who have not been successful in traditional subject matters. The purpose of this paper is to explain the philosophical orientation and educational robotics foundations at the primary school level so that policymakers, engineers and curriculum developers can formulate curriculum models for implementation. Methods: In this research, educational robotics was analyzed and synthesized using the synthesis research method. Valid documents and research from the last four decades have been selected and categorized using a criterion-based purposive sampling technique. Findings: Synthesis findings indicate that robotics in schools work in two ways as an independent subject and as an educational enabler serving other topics. Logical justification of it is based on constructivist, including epistemological (personal and multidisciplinary), psychological (attention to motivation, creativity and etc.) and sociological foundations (interaction, predictability and etc.). Conclusion: In order to design a curriculum, a planner must first pay attention to the nature of the subject or knowledge and then proceed to develop a plan based on the orientations of the curriculum. Because the subject is robotics training in elementary school, the planner must pay attention to its nature first. The findings of this synthesis showed that robotics can serve in schools at all levels as an independent subject or as an educational enabler in the service of other subjects. Therefore, it is necessary to differentiate between the concepts of robotic training and training robotics. In robotics training, the subject is robot training; but in educational robotics, the robot is considered as a method, tool or technique that is used to teach other subjects.   ===================================================================================== COPYRIGHTS  ©2019 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.  ====================================================================================