Research on robots interacting effectively with autistic children

Chenxuan Xu

doi:10.54254/2755-2721/20/20231069

Research Article

Open access

Published on 23 October 2023

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Xu,C. (2023). Research on robots interacting effectively with autistic children. Applied and Computational Engineering,20,40-48.

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Research on robots interacting effectively with autistic children

Chenxuan Xu *^,1,

¹ Hamden Hall Country Day School

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/20/20231069

Abstract

This paper focuses on designing a robot that can efficiently relieve pressure and heal children with autism. autism, a common and unavoidable disease, happens in 1 in 100 children worldwide, and is not easy to recover, especially for children. While many organizations have explored the effectiveness of social robots, only a few robots are available that encompass helpful functions. In this paper, a few new functions or changes, such as portable design and more attractive and complex interaction design, can significantly improve the possibility of healing. The research incorporated the detailed design of the robot and meta-analysis as the data analysis method. Our data come from previous research from different areas of the world. The robot reveals that current robots are still incapable of comprehensive interactions and what future designs are expected to be included.

Keywords

autism, robot, human-robots interaction

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References

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Cite this article

Xu,C. (2023). Research on robots interacting effectively with autistic children. Applied and Computational Engineering,20,40-48.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 5th International Conference on Computing and Data Science

Conference website: https://2023.confcds.org/

ISBN：978-1-83558-031-8(Print) / 978-1-83558-032-5(Online)

Conference date: 14 July 2023

Editor：Roman Bauer, Marwan Omar, Alan Wang

Series: Applied and Computational Engineering

Volume number: Vol.20

ISSN：2755-2721(Print) / 2755-273X(Online)

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