Research on the interactive design of wearable devices for autistic children

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Abstract

According to the “Development report on China’s autism education and rehabilitation industry”, the autistic children aged 0–14 years old may exceed more than 2 million in China. With the development of science and technology, autistic children have drawn more attention. The treatment of autistic children is becoming more and more diverse. Since wearable products are portable, real-time and interconnected, they have advanced rapidly in recent years. It has been applied to the treatment of autistic children in the field of medicine. But the impact of the existing wearable medical products on the body and mind of the patients is not comprehensive. There are no effective interaction design specification systems. Therefore, further improving and studying the interactive mode of wearable devices for autistic children have important theoretical value and practical significance. This paper first studied physiological and psychological characteristics of autistic children and obstacles they encounter in their lives through the methods of literature and documentation, interview and observation. Next, the classification and characteristics of wearable devices are generalized, and the characteristics and elements of the interactive design of wearable devices are summarized. In addition, this paper also carries out detailed case analysis of the current wearable products, and summarizes the shortage of the present products. Finally, system network diagram in respect with wearable device medical services for autistic children is proposed, combining the interactive information flow of the wearable device service system with autistic children centered, and sums up the wearable device interaction design specification in terms of autistic children in the end, and proposes feasible ideas and suggestions for interactive design.

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APA

Yang, M., & Li, X. (2018). Research on the interactive design of wearable devices for autistic children. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10907 LNCS, pp. 637–649). Springer Verlag. https://doi.org/10.1007/978-3-319-92049-8_47

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