Dialogue Design for a Robot-Based Face-Mirroring Game to Engage Autistic Children with Emotional Expressions

We present design strategies for Human Robot Interaction for school-aged autistic children with limited receptive language. Applying these strategies to the DE-ENIGMA project (large EU project addressing emotion recognition in autistic children) supported development of a new activity for in facial expression imitation whereby the robot imitates the child’s face to encourage the child to notice facial expressions in a play-based game. A usability case study with 15 typically-developing children aged 4–6 at an English-language school in the Netherlands was performed to observe the feasibility of the setup and make design revisions before exposing the robot to autistic children

A motion system for social and animated robots

This paper presents an innovative motion system that is used to control the motions and animations of a social robot. The social robot Probo is used to study Human-Robot Interactions (HRI), with a special focus on Robot Assisted Therapy (RAT). When used for therapy it is important that a social robot is able to create an "illusion of life" so as to become a believable character that can communicate with humans. The design of the motion system in this paper is based on insights from the animation industry. It combines operator-controlled animations with low-level autonomous reactions such as attention and emotional state. The motion system has a Combination Engine, which combines motion commands that are triggered by a human operator with motions that originate from different units of the cognitive control architecture of the robot. This results in an interactive robot that seems alive and has a certain degree of "likeability". The Godspeed Questionnaire Series is used to evaluate the animacy and likeability of the robot in China, Romania and Belgium

Can the social robot probo help children with autism to identify situation-based emotions? A series of single case experiments

Children with autism spectrum disorders have difficulties in identifying situation-based emotions, which is a fundamental ability for mind reading. Social robots received increased attention as assisting tools for improving the social and emotional skills of children with autism. This study investigates whether the social robot Probo can help children with autism spectrum disorders to enhance their performance in identifying situation-based emotions. Three participants (age between 5 and 6) diagnozed with autism spectrum disorders were included in a single case AB experimental design, with intersubjects replications. The results show that children's performance improved with moderate to large effect sizes in identifying both sadness and happiness. Based on these results, we intend to perform more extensive investigations regarding the effectiveness of robot assisted therapy in improving social-emotional abilities for children with autism spectrum disorders

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

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