Computer Assisted Feedback Strategies for Social Language Training in Autism: A Neurobehavioral Model
Received Date: Mar 30, 2019 / Accepted Date: Apr 19, 2019 / Published Date: Apr 26, 2019
Psychologists and other clinical professionals struggle with the problem of understanding and modifying noncongruent conversational styles of individuals with Autism Spectrum Disorders (ASD). More recent studies have attempted to identify relevant acoustical parameters of speech, including volume, pitch, rhythm and lengths of utterances, in an attempt to better explain errors in social communication and interaction. While a complex set of biological, behavioral and developmental factors lead to disruptions in social and communication abilities there is both theoretical and empirical support for focused intervention. In our lab we have utilized a software platform called speechmatch that provides children and adults with ASD real time feedback about their success in matching critical acoustic parameters that contribute to effective social interaction. A neuro-behavioral rehabilitation model focuses on early chain intervention, operant/reward-based shaping of sound matching, and neuroplasticity.
Keywords: Autism; Language training; Neurobehavioral model
Citation: Welkowitz LA, Jennings K, Sholtes A (2019) Computer Assisted Feedback Strategies for Social Language Training in Autism: A Neurobehavioral Model. Int J Neurorehabilitation 6: 347. Doi: 10.4172/2376-0281.1000347
Copyright: © 2019 Welkowitz LA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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