Issue |
SHS Web of Conf.
Volume 174, 2023
2023 2nd International Conference on Science Education and Art Appreciation (SEAA 2023)
|
|
---|---|---|
Article Number | 03023 | |
Number of page(s) | 5 | |
Section | Landscape Management and Socio-Environmental Planning | |
DOI | https://doi.org/10.1051/shsconf/202317403023 | |
Published online | 11 August 2023 |
Analyzing the Potential of Using Social Robots in Autism Classroom Settings
1 School of Computer and Information Technology,Northeast Petroleum University, Daqing, Heilongjiang, China
2 Computer Science and Engineering, Changshu Institute of Technology, Changshu, Jiangsu, China
a e-mail: 807370382@qq.com
b e-mail: fenghuanghao@cslg.edu.cn
c* Corresponding author: shrgong@clsg.edu.cn
In recent years, social robots have rapidly advanced alongside the progress of artificial intelligence. Countries around the world have been enacting strategic initiatives that combine robotics and artificial intelligence, leading to an increasing exploration of the application of AI technology in the field of education. In the context of autism intervention, social robots have shown promising results in intervention programs and behavior therapy for children with autism. However, there is a lack of research specifically focusing on the use of social robots in autism classroom settings. Therefore, we have synthesized existing studies and proposed the integration of social robots into autism classrooms. Through the collaboration between robots and teachers, as well as the interaction between robots and students, we aim to enhance the attention of children with autism in the classroom and explore new impacts on their classroom performance, knowledge acquisition, and generalization of after-class skills.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.