SIGACCESS

One hallmark difficulty of children with Autism Spectrum Disorder (ASD) centers on communication and speech. Research into computer visualizations of voice has been shown to influence conversational patterns and allow users to reflect upon their speech. In this research, called the Spoken Impact Project (SIP), we explore the effects of audio and visual feedback on vocalization in low-functioning children with ASD. By presenting a child with a new interpretation of their vocalizations (though audio and visual feedback), we aim to provide them with additional means of understanding and exploring their own voice. The SIP research spans over 12 months, including the creation of multiple software packages and detailed analysis of more than 20 hours of experimental video. This thesis details the four major components of this research project; 1) theory for visuals as feedback; 2) Supporting Video Annotation; 3) Creation of a Coding Guideline for Working with pre-verbal children and computers, and; 4) exploring SIP in an Experimental Context. In this work, we demonstrate the potential of computer generated audio and visual feedback to shape vocalizations of children with ASD