ASD (Autistic Spectrum Disorder) Preschool Children Socialization Using Experimental Monitored Virtual Environments

The paper presents the development and testing of a virtual reality (VR) application for the development of social skills in preschool children with autistic spectrum disorders (ASD). The application includes a system of adaptive learning scenarios based on traditional methods of working with children with ASD, an interactive virtual assistant with an advanced navigation system and based on hand gesture recognition. Special attention was paid to the development of an automatic report generation system based on the Childhood Autism Rating Scale (CARS), which analyses more than 10 different parameters of user interaction with the virtual environment to track the dynamics of the condition. These reports form the basis for analysing user interaction with the virtual environment, which is especially important for the therapy of children with ASD, as it allows to adapt the training methodology to the individual characteristics of each child and adjust the therapeutic process based on objective progress indicators. The network interaction possibility was implemented to control the therapy process in real time, including visualisation of the user's movement trajectory and analysis of the visited zones of the virtual space. Initial testing was carried out on a control group of three normotypical 4–5 year old children to collect reference values of interaction with the virtual environment.

Authors

Institutions

Publication Details

Published
2025-03-24
DOI
https://doi.org/10.1109/smartindustrycon65166.2025.10986081
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ASD (Autistic Spectrum Disorder) Preschool Children Socialization Using Experimental Monitored Virtual Environments

Гузель Яхиевна Гузельбаева, Anton A. Boltushkin, Ksenia S. Vasilyeva
Autism Spectrum Disorder Research
article

ASD (Autistic Spectrum Disorder) Preschool Children Socialization Using Experimental Monitored Virtual Environments

Гузель Яхиевна Гузельбаева, Anton A. Boltushkin, Ksenia S. Vasilyeva
article en

Abstract

The paper presents the development and testing of a virtual reality (VR) application for the development of social skills in preschool children with autistic spectrum disorders (ASD). The application includes a system of adaptive learning scenarios based on traditional methods of working with children with ASD, an interactive virtual assistant with an advanced navigation system and based on hand gesture recognition. Special attention was paid to the development of an automatic report generation system based on the Childhood Autism Rating Scale (CARS), which analyses more than 10 different parameters of user interaction with the virtual environment to track the dynamics of the condition. These reports form the basis for analysing user interaction with the virtual environment, which is especially important for the therapy of children with ASD, as it allows to adapt the training methodology to the individual characteristics of each child and adjust the therapeutic process based on objective progress indicators. The network interaction possibility was implemented to control the therapy process in real time, including visualisation of the user's movement trajectory and analysis of the visited zones of the virtual space. Initial testing was carried out on a control group of three normotypical 4–5 year old children to collect reference values of interaction with the virtual environment.

Kazan Federal University (RU)
Kazan Federal University
Reduced inequalities
Openalex Percentile: Top 91%
Autism Spectrum Disorder Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.