Can Autism be Catered with Artificial Intelligence-Assisted Intervention
Technology? A Literature Review
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by
Muhammad Shoaib Jaliawala, Rizwan Ahmed Khan
2019
Abstract
This article presents an extensive literature review of technology based
intervention methodologies for individuals facing Autism Spectrum Disorder
(ASD). Reviewed methodologies include: contemporary Computer Aided Systems
(CAS), Computer Vision Assisted Technologies (CVAT) and Virtual Reality (VR) or
Artificial Intelligence (AI)-Assisted interventions. The research over the past
decade has provided enough demonstrations that individuals with ASD have a
strong interest in technology based interventions, which are useful in both,
clinical settings as well as at home and classrooms. Despite showing great
promise, research in developing an advanced technology based intervention that
is clinically quantitative for ASD is minimal. Moreover, the clinicians are
generally not convinced about the potential of the technology based
interventions due to non-empirical nature of published results. A major reason
behind this lack of acceptability is that a vast majority of studies on
distinct intervention methodologies do not follow any specific standard or
research design. We conclude from our findings that there remains a gap between
the research community of computer science, psychology and neuroscience to
develop an AI assisted intervention technology for individuals suffering from
ASD. Following the development of a standardized AI based intervention
technology, a database needs to be developed, to devise effective AI
algorithms.
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