Title:
Musical Robots For Children With ASD Using A Client-Server Architecture

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Zhang, Ruimin
Barnes, Jaclyn
Ryan, Joseph
Jeon, Myounghoon
Park, Chung Hyuk
Howard, Ayanna M.
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Abstract
People with Autistic Spectrum Disorders (ASD) are known to have difficulty recognizing and expressing emotions, which affects their social integration. Leveraging the recent advances in interactive robot and music therapy approaches, and integrating both, we have designed musical robots that can facilitate social and emotional interactions of children with ASD. Robots communicate with children with ASD while detecting their emotional states and physical activities and then, make real-time sonification based on the interaction data. Given that we envision the use of multiple robots with children, we have adopted a client-server architecture. Each robot and sensing device plays a role as a terminal, while the sonification server processes all the data and generates harmonized sonification. After describing our goals for the use of sonification, we detail the system architecture and on-going research scenarios. We believe that the present paper offers a new perspective on the sonification application for assistive technologies.
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2016-07
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.