Recognizing Mimicked Autistic Self-Stimulatory Behaviors Using HMMs
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
CareLog: a selective archiving tool for behavior management in schools
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Sensor-enabled detection of stereotypical motor movements in persons with autism spectrum disorder
IDC '08 Proceedings of the 7th international conference on Interaction design and children
Proceedings of the 11th international conference on Ubiquitous computing
Personal and Ubiquitous Computing
Supporting the design contributions of children with autism spectrum conditions
Proceedings of the 11th International Conference on Interaction Design and Children
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Individuals with Autism Spectrum Disorder (ASD) often engage in stereotypical behaviors. In some individuals these behaviors occur with very high frequency and can be disruptive and at times self-injurious. We propose a system that can tacitly collect contextual data related to the individual's physiological state and their external environment, and map it to occurrences of stereotypies. A user study was conducted with children with ASD, parents, and caregivers to explore and validate this concept. A prototype of the system, developed through participatory design, was used in the study as a probe to elicit the information needs of these stakeholders, and provide a better understanding of the nuances involved in supporting those needs. Here we present the findings of this study, and four design recommendations; promoting ecological integration, addressing privacy concerns, supporting inference, and enabling customization.