An App Recommendation System for Children with Autism Spectrum Disorder
Author(s)
Ennis-Cole, Demetria
Chen, Jiangping
Wada, Akiko
Issue Date
2015-03-15
Keyword(s)
recommender systems
information organization and metadata
information seeking/retrieval
Abstract
Technology can help children with Autism Spectrum Disorder (ASD) gain functional and academic skills when the tools used match their specific needs. This paper proposes the development of an app recommendation system for young learners based on their general characteristics and instructional goals. Through a qualitative experiment, we gathered several characteristics of children with ASD as well as their behaviors while using different forms of technology. Through this study, we plan to investigate a systematic method for selecting apps based on the findings.
Publisher
iSchools
Series/Report Name or Number
iConference 2015 Proceedings
Type of Resource
text
Language
English
Permalink
http://hdl.handle.net/2142/73699
Copyright and License Information
Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
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