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Improving Socialization and Emotion Recognition for Children with Autism Using a Smartphone App
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Author(s): Cassidy Lamm (University of Alabama, USA), Lauren Lambert (University of Alabama, USA), Joshua Wolfe (University of Alabama, USA), Jeff Gray (The University of Alabama, USA), Angela Barber (University of Alabama, USA)and Gary Edwards (United Cerebral Palsy of Greater Birmingham, USA)
Copyright: 2016
Pages: 17
Source title:
Psychology and Mental Health: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-0159-6.ch025
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Abstract
Smartphone apps are used with increased frequency to teach children a variety of skills and to supplement more traditional forms of instruction. In particular, children diagnosed with Autism Spectrum Disorder (ASD) could benefit from applications suited to help them build social emotional skills that could contribute to more successful social interactions. In the study, the authors first investigated and compiled a list of existing apps to see where gaps exist in topic coverage. From this survey of existing smartphone apps for children with ASD, they developed a new app called LEA (Learning Emotions with Autism) that challenges children to interact in a social setting by responding to emotional cues, and having other children determine the emotion that is expressed. This app provides a new context to help children focus their attention on facial cues in order to recognize and interpret emotions through supported peer interaction. In this chapter, the authors discuss how this app was designed and implemented. They also provide a tutorial on how to develop smartphone apps that can be used for ASD research.
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