The contribution of robotics to music therapy in the treatment of children with autism spectrum disorder

Melucci, Matilde (2024) The contribution of robotics to music therapy in the treatment of children with autism spectrum disorder. [Laurea], Università di Bologna, Corso di Studio in Ingegneria biomedica [L-DM270] - Cesena, Documento full-text non disponibile
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Abstract

Autism Spectrum Disorder (ASD) is characterized by a variety of impairments in social interaction, communication, and behaviour, and there are no unique and definitive treatments. However, emerging therapies are gaining interest, such as music-based approaches and socially assistive robotics. This thesis explores the intersection of music therapy, robotics, and interventions for ASD, investigating the potential of a novel robotic platform as an assistive tool for improving specific impairments in children with ASD, including motor control, turn-taking skills, social interaction, communication, and emotional recognition, by leveraging the therapeutic benefits of music in conjunction with advanced robotics technologies. The first chapter delves into ASD, examining the necessity of holistic approaches and the therapeutic aspects of music, highlighting its impact on cognitive, emotional, and motor functions. Furthermore, it explores the emerging role of socially assistive robotics in ASD intervention, emphasizing the potential of interactive robots to engage in therapeutic activities with individuals affected by ASD. Chapter Two presents a study conducted by Feng H., which evaluates the effectiveness of using a humanoid robot, NAO, in ASD interventions. In the third chapter, the potential of music-enhanced robotic therapy as a supportive tool for ASD interventions is underscored, and future directions are indicated.

Abstract
Tipologia del documento
Tesi di laurea (Laurea)
Autore della tesi
Melucci, Matilde
Relatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Social-Interactive Robotics,Autism Spectrum Disorder,Neurologic Music-Therapy,Human-Robot Interaction,Turn-Taking Behaviour,Motor Control
Data di discussione della Tesi
14 Marzo 2024
URI

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