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Wearable assistive technologies for autism : opportunities and challenges

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wearable_assistive_technologies.pdf (220.9Kb)
Date
06/2018
Author
Mansouri Benssassi, Esma
Gomez, Juan-Carlos
Boyd, LouAnne E.
Hayes, Gillian R.
Ye, Juan
Keywords
Wearable technologies
Assistive technologies
Autism
Pervasive computing
Emotion detection
Disability study
HT Communities. Classes. Races
QA75 Electronic computers. Computer science
RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
T Technology
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Abstract
Autism is a lifelong developmental condition that affects how people perceive the world and interact with others. Challenges with typical social engagement, common in the autism experience, can have a significant negative impact on the quality of life of individuals and families living with autism. Recent advances in sensing, intelligent, and interactive technologies can enable new forms of assistive and augmentative technologies to support social interactions. However, researchers have not yet demonstrated effectiveness of these technologies in long-term real-world use. This paper presents an overview of social and sensory challenges of autism, which offer great opportunities and challenges for the design and development of assistive technologies. We review the existing work on developing wearable technologies for autism particularly to assist social interactions, analyse their potential and limitations, and discuss future research directions.
Citation
Mansouri Benssassi , E , Gomez , J-C , Boyd , L E , Hayes , G R & Ye , J 2018 , ' Wearable assistive technologies for autism : opportunities and challenges ' , IEEE Pervasive Computing , vol. 17 , no. 2 , pp. 11-21 . https://doi.org/10.1109/MPRV.2018.022511239
Publication
IEEE Pervasive Computing
Status
Peer reviewed
DOI
https://doi.org/10.1109/MPRV.2018.022511239
ISSN
1536-1268
Type
Journal item
Rights
© 2018, IEEE. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1109/MPRV.2018.022511239
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/12628

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