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A Computational View of AutismTechnology-Assisted Skills Training: The Way Forward

A Computational View of Autism: Technology-Assisted Skills Training: The Way Forward [So far, the reader has been introduced to some of the core deficit areas characterizing autism and the cascading effects at the later stages of development of these individuals and their families. There has been an increasing consensus that early intervention can help to address many of the core deficits. Thus, the families of such children try their best to offer adequate intervention services to their children. The conventional intervention is mostly observation-based, in which expert clinicians use their knowledge and training to estimate the affective state of the child and in turn tune the intervention paradigm for effective floor-time therapy sessions. The conventional intervention, though powerful, can suffer from few limitations, the most prominent being the restricted availability of trained resources. This becomes a greater challenge given the high prevalence of autism and the necessity of long hours of one-on-one sittings between a clinician with a child while offering individualized services. Such individualization of intervention services is critical since autism is a spectrum disorder in which each child with autism is unique, and thus, the intervention services need to be modulated to cater to the individual needs for effective skill learning. Investigators have been using alternative technology-assisted systems, such as computers augmented with external peripheral devices, that can serve as complementary tools in the hands of the clinicians. In this chapter, I summarize some of the potential strengths of intelligent computing that can make computers be sensitive to one’s affective state, be adaptive to one’s skill, offer realistic feel through haptics, audio and visual imagery. It is time now to harness these strengths to offer computer-assisted intervention services that can complement the therapists involved in autism intervention.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Computational View of AutismTechnology-Assisted Skills Training: The Way Forward

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2020
ISBN
978-3-030-40236-5
Pages
165 –173
DOI
10.1007/978-3-030-40237-2_6
Publisher site
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Abstract

[So far, the reader has been introduced to some of the core deficit areas characterizing autism and the cascading effects at the later stages of development of these individuals and their families. There has been an increasing consensus that early intervention can help to address many of the core deficits. Thus, the families of such children try their best to offer adequate intervention services to their children. The conventional intervention is mostly observation-based, in which expert clinicians use their knowledge and training to estimate the affective state of the child and in turn tune the intervention paradigm for effective floor-time therapy sessions. The conventional intervention, though powerful, can suffer from few limitations, the most prominent being the restricted availability of trained resources. This becomes a greater challenge given the high prevalence of autism and the necessity of long hours of one-on-one sittings between a clinician with a child while offering individualized services. Such individualization of intervention services is critical since autism is a spectrum disorder in which each child with autism is unique, and thus, the intervention services need to be modulated to cater to the individual needs for effective skill learning. Investigators have been using alternative technology-assisted systems, such as computers augmented with external peripheral devices, that can serve as complementary tools in the hands of the clinicians. In this chapter, I summarize some of the potential strengths of intelligent computing that can make computers be sensitive to one’s affective state, be adaptive to one’s skill, offer realistic feel through haptics, audio and visual imagery. It is time now to harness these strengths to offer computer-assisted intervention services that can complement the therapists involved in autism intervention.]

Published: Jul 28, 2020

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