Towards a Framework of Dynamic Affective Virtual Environment Gaming (DaveG) System for Autism Spectrum Disorder Detection
Disciplines
Other Computer Sciences | Software Engineering
Abstract (300 words maximum)
Abstract
In the previous decade, virtual reality (VR) innovation has been quickly developing, making it a hot pattern in amusement as well as in medical services research. VR gives a completely different encounter and can offer help for variable controls. These favorable circumstances spurred specialists to utilize VR in restorative intercession for people with developmental problems, for example, Autism Spectrum issue (ASD). The advantages of utilizing VR in diagnosing devices for formative issues have not been completely examined at this point. Studies have demonstrated that VR can trigger more grounded and more explicit enthusiastic reactivities in clients than other visual/sound tools. In addition, the ability of virtual reality to provide private and safe virtual climate makes VR the right tool for individuals with social and developmental problems. This paper proposed a VR framework that can adequately trigger and examine impulsive responses from participants. The comprehensive feeling of a VR game is intended to relate with participants about their impulsive responses to neutral, negative, and positive scenes. The responses are analyzed between the control and diagnosed subjects. The analysis incorporates pre-and post-overviews on feeling responses and excitement scales, psychophysiological sensor signals, in-game response time, and minigames for movement tests under various effects. We foresee that this investigation will uncover various examples between people with ASD and the control group, along these lines finding inventive and rational techniques to raise simpler yet more exact analysis for people with ASD. A definitive objective is to plan a unique emotional virtual climate (DaveG), which is a VR structure with ongoing input to help early screening and treatment of ASD. More advanced data analysis methods are planned to be performed in the future to build customizable user models for DaveG.
Academic department under which the project should be listed
CCSE - Computer Science
Primary Investigator (PI) Name
College of Computing and Software Engineering
Towards a Framework of Dynamic Affective Virtual Environment Gaming (DaveG) System for Autism Spectrum Disorder Detection
Abstract
In the previous decade, virtual reality (VR) innovation has been quickly developing, making it a hot pattern in amusement as well as in medical services research. VR gives a completely different encounter and can offer help for variable controls. These favorable circumstances spurred specialists to utilize VR in restorative intercession for people with developmental problems, for example, Autism Spectrum issue (ASD). The advantages of utilizing VR in diagnosing devices for formative issues have not been completely examined at this point. Studies have demonstrated that VR can trigger more grounded and more explicit enthusiastic reactivities in clients than other visual/sound tools. In addition, the ability of virtual reality to provide private and safe virtual climate makes VR the right tool for individuals with social and developmental problems. This paper proposed a VR framework that can adequately trigger and examine impulsive responses from participants. The comprehensive feeling of a VR game is intended to relate with participants about their impulsive responses to neutral, negative, and positive scenes. The responses are analyzed between the control and diagnosed subjects. The analysis incorporates pre-and post-overviews on feeling responses and excitement scales, psychophysiological sensor signals, in-game response time, and minigames for movement tests under various effects. We foresee that this investigation will uncover various examples between people with ASD and the control group, along these lines finding inventive and rational techniques to raise simpler yet more exact analysis for people with ASD. A definitive objective is to plan a unique emotional virtual climate (DaveG), which is a VR structure with ongoing input to help early screening and treatment of ASD. More advanced data analysis methods are planned to be performed in the future to build customizable user models for DaveG.