Abstract
In this work, we present the initial progressive build of a prototype system, dubbed MyCompanion. MyCompanion to improve assisted living, ultimately targeting alleviating social exclusion and loneliness. The system, based on a Raspberry Pi, connects to a user’s television set and tracks data from sensors placed around the house. An inbuilt artificial intelligence chat-bot then listens to, as well as instantiates, conversation with the user based on self-imposed triggers. Data from the sensors inform MyCompanion in real time user behaviour and records these readings. We also port MyCompanion software to an anthropomorphic version inside a humanoid robot for us to be able to give a physical dimension to the digital character.
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Loizides, F., Jones, K. E., Abbasi, D., Cardwell, C., Jones, I., Turner, L. D., … Morgan, S. (2019). MyCompanion: A Digital Social Companion for Assisted Living. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11749 LNCS, pp. 649–653). Springer Verlag. https://doi.org/10.1007/978-3-030-29390-1_55
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