@inproceedings{742fd352a5214ff68b4383d063d4edf0,
title = "Anthropomorphic virtual assistant to support self-care of type 2 diabetes in older people: A perspective on the role of artificial intelligence",
abstract = "The global prevalence of diabetes is escalating. Attributable deaths and avoidable health costs related to diabetes represent a substantial burden and threaten the sustainability of contemporary healthcare systems. Information technologies are an encouraging avenue to tackle the challenge of diabetes management. Anthropomorphic virtual assistants designed as relational agents have demonstrated acceptability to older people and may promote long-term engagement. The VASelfCare project aims to develop and test a virtual assistant software prototype to facilitate the self-care of older adults with type 2 diabetes mellitus. The present position paper describes key aspects of the VASelfCare prototype and discusses the potential use of artificial intelligence. Machine learning techniques represent promising approaches to provide a more personalised user experience with the prototype, by means of behaviour adaptation of the virtual assistant to users{\textquoteright} preferences or emotions or to develop chatbots. The effect of these sophisticated approaches on relevant endpoints, such as users{\textquoteright} engagement and motivation, needs to be established in comparison to less responsive options.",
keywords = "Artificial Intelligence, Behaviour Change, Health Care, Older People, Relational Agents, Type 2 Diabetes, Virtual Humans",
author = "Gergely Magyar and Jo{\~a}o Balsa and Cl{\'a}udio, {Ana Paula} and Carmo, {Maria Beatriz} and Pedro Neves and Pedro Alves and F{\'e}lix, {Isa Brito} and Nuno Pimenta and Guerreiro, {Mara Pereira}",
note = "Publisher Copyright: Copyright {\textcopyright} 2019 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved; 14th International Conference on Computer Graphics Theory and Applications, GRAPP 2019 - Part of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019 ; Conference date: 25-02-2019 Through 27-02-2019",
year = "2019",
doi = "10.5220/0007572403230331",
language = "English",
series = "VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",
publisher = "SciTePress",
pages = "323--331",
editor = "Andreas Kerren and Christophe Hurter and Jose Braz",
booktitle = "VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",
}
