Dynamic Eye gaze and its Potential in Virtual Reality Based Applications for Children with Autism Spectrum Disorders.

Development of an integrated program of sensory rehabilitation based on vibroacoustic and virtual reality and its effectiveness on the profile of auditory processing in children with autism spectrum disorder: A Case study

Introduction: People with autism spectrum disorder have sensory abnormalities in addition to social interactions, communication skills, limited interests and stereotyped behaviors. Therefor the present study conducted with the aim of development of an integrated program of sensory rehabilitation based on vibroacoustic and virtual reality and its effectiveness on the profile of auditory, in chil...

Design of a novel virtual reality-based autism intervention system for facial emotional expressions identification

A virtual reality (VR)-based system for evaluating facial emotion recognition ability of teenagers with autism spectrum disorders (ASD) is presented. This system is integrated with a non-contact eye tracker that allows investigation of eye gaze and eye physiological indices (e.g., blink rate) of the participants while they seek to identify the emotion displayed by the avatars in the VR environm...

Design of a Virtual Reality Based Adaptive Response Technology for Children with Autism Spectrum Disorder

Impairments in social communication skills are thought to be core deficits in children with autism spectrum disorder (ASD). In recent years, several assistive technologies, particularly Virtual Reality (VR), have been investigated to promote social interactions in this population. It is well-known that these children demonstrate atypical viewing patterns during social interactions and thus moni...

VIRTUAL-REALITY BASED GAZE-SENSITIVE ADAPTIVE RESPONSE TECHNOLOGY FOR CHILDREN WITH AUTISM SPECTRUM DISORDER By

Assessing the utility of a virtual environment for enhancing facial affect recognition in adolescents with autism.

Teenagers with autism spectrum disorder (ASD) and age-matched controls participated in a dynamic facial affect recognition task within a virtual reality (VR) environment. Participants identified the emotion of a facial expression displayed at varied levels of intensity by a computer generated avatar. The system assessed performance (i.e., accuracy, confidence ratings, response latency, and stim...