Robotics has made it possible to change and improve many support processes for vulnerable people in different settings. In recent years, its use has been oriented toward supporting therapeutic interventions of neurodevelopmental disorders (NDD), including attention deficit hyperactivity disorder (ADHD). This review of the literature highlights how advances in robotics have evolved in different scenarios of ADHD treatment, its collaboration with other emerging technologies, its results, its limitations, and the research challenges for the future development of robotics in the field of supporting children with ADHD. The authors conducted a literature review based on the location of keywords 'robotics' and several NNDs such as 'ADHD', 'Autism Spectrum Disorder (ASD)', 'cerebral palsy', and 'dementia' in titles, abstracts, and introduction of scientific articles in the Scopus and Web of Science (WoS) database. The reviewed literature was classified according to the type of therapy supported by the robots, the type of robot and the associated technologies. From this analysis, we can solve the research question: Which types of robots have the potential for specific applications in ADHD treatment? Furthermore, this article shows that despite favorable technical results, robotic technologies that support ADHD therapies require significant improvements in terms of scalability, human-machine interaction, and treatment and processing of acquired information to be applied effectively in real-world therapies. The most significant research challenges are proposed to drive research efforts to develop new approaches to enable robotic assistants to participate in ADHD therapies.

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Avatars have been found to be useful tools to overcome communication barriers in people affected by Autistic Spectrum Disorders (ASD) and to help them understand and express emotions. However, it has been shown that the success of the interactions is highly dependent on the subject's identification with the avatar. In this study, we assess the variables that may influence that perception in children under 10, in the context of the largely multi-ethnic Ecuadorean society. The results reveal that, unlike previous studies showed for young adults, the ethnic traits displayed by the avatars are not a critical factor, as the the quality of the interactions was more influenced by the perception of the avatars' appearance, their similarity with the kids' peers and, above all, the ability of the human model who controls the avatar to use a pleasant voice, to succeed in making his/her questions and responses fully understood, and to master the non-verbal communication transmitted through gestures and voice. INDEX TERMS Avatars, Human-Computer Interaction, multi-ethnic societies.

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