Di Campli San Vito, P. et al. (2023) RadioMe: Adaptive Radio to Support People with Mild Dementia in Their Own Home. In: Second International Conference on Hybrid Human-Artificial Intelligence (HHAI 2023), Munich, Germany, 26-30 June 2023, pp. 413-415. ISBN 9781643683942 (doi: 10.3233/FAIA230114)
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Abstract
People with dementia and their carers are experiencing a complicated and highly personal health journey. The RadioMe system, an adaptive live radio system enriched with reminder possibilities and agitation detection and intervention with personalised calming music, is being developed to support people with mild dementia in their own home. RadioMe is an ongoing, interdisciplinary project, combining expertise on dementia, music therapy, music computation and human computer interaction.
Item Type: | Conference Proceedings |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Di Campli San Vito, Dr Patrizia and Brewster, Professor Stephen and Yang, Dr Xiaochen |
Authors: | Di Campli San Vito, P., Yang, X., Brewster, S., Street, A., Fachner, J., Fernie, P., Muller-Rodriguez, L., Hung Hsu, M., Odell-Miller, H., Shaji, H., Itaborai, P., Evison, B., Farina, N., Banerjee, S., Kirke, A., and Miranda, E. |
College/School: | College of Science and Engineering > School of Computing Science College of Science and Engineering > School of Mathematics and Statistics > Statistics |
ISSN: | 0922-6389 |
ISBN: | 9781643683942 |
Copyright Holders: | Copyright © 2023 The Authors |
First Published: | First published in HHAI 2023: Augmenting Human Intellect 368:413-415 |
Publisher Policy: | Reproduced under a Creative Commons license |
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