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An interactive system to enhance social and verbal communication skills of children withautism spectrum disorders
Title
An interactive system to enhance social and verbal communication skills of children withautism spectrum disorders.
Creator
Minan, Maria Jose, Huang, Shihong, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Affecting one in every 68 children, Autism Spectrum Disorder (ASD) is one of the fastest growing developmental disabilities. Scientific research has proven that early behavioral intervention can improve learning, communication, and social skills. Similarly, studies have shown that the usage of of-the-shelf technology boosts motivation in children diagnosed with ASD while increasing their attention span and ability to interact socially. Embracing perspectives from different fields of study can...
Show moreAffecting one in every 68 children, Autism Spectrum Disorder (ASD) is one of the fastest growing developmental disabilities. Scientific research has proven that early behavioral intervention can improve learning, communication, and social skills. Similarly, studies have shown that the usage of of-the-shelf technology boosts motivation in children diagnosed with ASD while increasing their attention span and ability to interact socially. Embracing perspectives from different fields of study can lead to the development of an effective tool to complement traditional treatment of those with ASD. This thesis documents the re-engineering, extension, and evolu- tion of Ying, an existing web application designed to aid in the learning of autistic children. The original methodology of Ying combines expertise from other research areas including developmental psychology, semantic learning, and computer science. In this work, Ying is modifed to incorporate aspects of traditional treatment, such as Applied Behavior Analysis. Using cutting-edge software technology in areas like voice recognition and mobile device applications, this project aspires to use software engineering approaches and audio-visual interaction with the learner to enhance social behavior and reinforce verbal communication skills in children with ASD, while detecting and storing learning patterns for later study.
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Date Issued
2014
PURL
http://purl.flvc.org/fau/fd/FA00004306, http://purl.flvc.org/fau/fd/FA00004306
Subject Headings
Autism spectrum disorders in children -- Treatment -- Technological innovations, Children with autism spectrum disorders -- Education -- Technological innovations, Communication disorders in children -- Treatment -- Technological innovations, Computers and people with disabilities, Learning, Psychology of, Optical pattern recognition
Format
Document (PDF)
Computer interaction system to identify learning patterns and improve performance in children with autism spectrum disorders
Title
Computer interaction system to identify learning patterns and improve performance in children with autism spectrum disorders.
Creator
Petersen, Jake Levi., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Autism Spectrum Disorders (ASD) affects one in every 110 children. Medical and educational research have demonstrated that ASD children's social skills and adaptation can be much improved, provided that interventions are early and intensive enough. The advancement of computer technologies and their ubiquitous penetration in people's life make them widely available to support intensive sociocognitive rehabilitation. Additionally, computer interactions are a natural choice for people with...
Show moreAutism Spectrum Disorders (ASD) affects one in every 110 children. Medical and educational research have demonstrated that ASD children's social skills and adaptation can be much improved, provided that interventions are early and intensive enough. The advancement of computer technologies and their ubiquitous penetration in people's life make them widely available to support intensive sociocognitive rehabilitation. Additionally, computer interactions are a natural choice for people with autism who value lawful and "systematizing" tools. A number of computer-aided approaches have been developed, showing effectiveness and generalization, but little quantitative research was conducted to identify the critical factors of engaging and improving the child's interest and performance. This thesis designs an adaptive computer interaction system, called Ying, which detects learning patterns in children with ASD and explores the computer interactive possibilities. The system tailors its content based on periodic performance assessments that offer a more effective learning path for children with ASD.
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Date Issued
2011
PURL
http://purl.flvc.org/FAU/3356786
Subject Headings
Autism spectrum disorders, Treatment, Technological innovations, Optical pattern recognition, Children with disabilities, Education, Technological innovations, Assistive computer technology, Compter-assisted instruction, Computers and people with disabilities
Format
Document (PDF)