Porayska-Pomsta, Kaska and Frauenberger, Christopher and Pain, Helen and Rajendran, Gnanathusharan and Smith, Tim and Menzies, R and Foster, M.E. and Alcorn, Alyssa and Wass, Sam and Bernardini, Sara and Avramides, Katerina and Keay-Bright, W and Chen, J and Waller, A and Guldberg, Karen and Good, J and Lemon, Oliver (2011) Developing technology for autism: an interdisciplinary approach. Personal and Ubiquitous Computing, 16. pp. 117-127. ISSN 1617-4909
Type of Research: | Article |
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Creators: | Porayska-Pomsta, Kaska and Frauenberger, Christopher and Pain, Helen and Rajendran, Gnanathusharan and Smith, Tim and Menzies, R and Foster, M.E. and Alcorn, Alyssa and Wass, Sam and Bernardini, Sara and Avramides, Katerina and Keay-Bright, W and Chen, J and Waller, A and Guldberg, Karen and Good, J and Lemon, Oliver |
Description: | We present an interdisciplinary methodology for designing interactive multi-modal technology for young children with autism spectrum disorders (ASDs). In line with many other researchers in the field, we believe that the key to developing technology in this context is to embrace perspectives from diverse disciplines to arrive at a methodology that delivers satisfactory outcomes for all stakeholders. The ECHOES project provided us with the opportunity to develop a technology-enhanced learning (TEL) environment that facilitates acquisition and exploration of social skills by typically developing (TD) children and children with autism spectrum disorders (ASDs). ECHOES’ methodology and the learning environment rely crucially on multi-disciplinary expertise including developmental psychology, visual arts, human–computer interaction, artificial intelligence, education, and several other cognate disciplines. In this article, we reflect on the methods needed to develop a TEL environment for young users with ASDs by identifying key features, benefits, and challenges of this approach. |
Official Website: | http://dx.doi.org/10.1007/s00779-011-0384-2 |
Keywords/subjects not otherwise listed: | Autism, Technology-enhanced intervention, Interdisciplinary research, Social interactions, Social signal processing, Autonomous agents |
Publisher/Broadcaster/Company: | Springer |
Your affiliations with UAL: | Research Centres/Networks > Institute for Creative Computing |
Date: | 4 May 2011 |
Digital Object Identifier: | 10.1007/s00779-011-0384-2 |
Date Deposited: | 10 May 2013 08:13 |
Last Modified: | 11 Jan 2024 16:40 |
Item ID: | 21081 |
URI: | https://ualresearchonline.arts.ac.uk/id/eprint/21081 |
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