MyCompanion: A Digital Social Companion for Assisted Living - Human-Computer Interaction - INTERACT 2019 - Part IV Access content directly
Conference Papers Year : 2019

MyCompanion: A Digital Social Companion for Assisted Living

Fernando Loizides
  • Function : Author
  • PersonId : 1073663
Kathryn E. Jones
  • Function : Author
  • PersonId : 1073664
Daniel Abbasi
  • Function : Author
  • PersonId : 1073665
Christopher Cardwell
  • Function : Author
  • PersonId : 1073666
Ieuan Jones
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  • PersonId : 1073667
Liam D. Turner
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  • PersonId : 1073668
Athanasios Hassoulas
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  • PersonId : 1073669
Ashley Bale
  • Function : Author
  • PersonId : 1073670
Scott Morgan
  • Function : Author
  • PersonId : 1073671

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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hal-02878621 , version 1 (23-06-2020)

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Fernando Loizides, Kathryn E. Jones, Daniel Abbasi, Christopher Cardwell, Ieuan Jones, et al.. MyCompanion: A Digital Social Companion for Assisted Living. 17th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2019, Paphos, Cyprus. pp.649-653, ⟨10.1007/978-3-030-29390-1_55⟩. ⟨hal-02878621⟩
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