E3S Web Conf.
Volume 179, 20202020 International Conference on Environment and Water Resources Engineering (EWRE 2020)
|Number of page(s)||6|
|Section||Environmental and Industrial Design|
|Published online||23 July 2020|
Research on Interactive Design of Social Interaction Training APP for Children with Autistic Spectrum Disorder (ASD) Based on Multi-modal Interaction
Harbin Institute of Techonology, Shenzhen, Shenzhen, China
* Corresponding author’s e-mail: firstname.lastname@example.org
A number of studies have found that the difficulty in social interactive behaviors and recognize items are two core syndromes of Autistic Spectrum Disorder (ASD) children. Previous research has found that ASD children paid more attention to robots comparing to people.Intervention programs with robots as instructors or partners were also proved to be effective in improving ASD children’s social skills.Yet, few studies find robot intervention works in ASD children training.So research explore the possibility of apply such intervention programs into product design.The present study aimed at involving an animated character of robot in an application (APP) of intervention program to facilitate ASD children’s learning of social interactive skills.In order to achieve the goal, a training system based on sensory integration training was established by the design software of Sketch.Augmented Reality (AR) technology was used to create a multi-modal interactive environment of the APP.The present study is among the first attempt to apply sensory integration training in APP design, aiming at promoting social and cognitive performance in ASD children.
© The Authors, published by EDP Sciences, 2020
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.