loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Gergely Magyar 1 ; João Balsa 2 ; Ana Cláudio 2 ; Maria Carmo 2 ; Pedro Neves 2 ; Pedro Alves 2 ; Isa Félix 3 ; Nuno Pimenta 4 ; 5 and Mara Guerreiro 3 ; 6

Affiliations: 1 Department of Cybernetics and Artificial Intelligence, Technical University of Kosice, Letna 9, Kosice, Slovakia ; 2 Biosystems & Integrative Sciences Institute (BioISI), Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal ; 3 Unidade de Investigação e Desenvolvimento em Enfermagem (ui&de), Escola Superior de Enfermagem de Lisboa, Lisboa, Portugal ; 4 Sport Sciences School of Rio Maior – Polytechnic Institute of Santarém, Rio Maior, Portugal ; 5 Exercise and Health Laboratory, Interdisciplinary Centre for the Study of Human Performance, ULisboa, Cruz-Quebrada, Portugal ; 6 Centro de Investigação Interdisciplinar Egas Moniz (CiiEM), Instituto Universitário Egas Moniz, Monte de Caparica, Portugal

Keyword(s): Virtual Humans, Relational Agents, Artificial Intelligence, Health Care, Behaviour Change, Type 2 Diabetes, Older People.

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’ preferences or emotions or to develop ch atbots. The effect of these sophisticated approaches on relevant endpoints, such as users’ engagement and motivation, needs to be established in comparison to less responsive options. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 98.80.143.34

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Magyar, G.; Balsa, J.; Cláudio, A.; Carmo, M.; Neves, P.; Alves, P.; Félix, I.; Pimenta, N. and Guerreiro, M. (2019). Anthropomorphic Virtual Assistant to Support Self-care of Type 2 Diabetes in Older People: A Perspective on the Role of Artificial Intelligence. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - GRAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 323-331. DOI: 10.5220/0007572403230331

@conference{grapp19,
author={Gergely Magyar. and João Balsa. and Ana Cláudio. and Maria Carmo. and Pedro Neves. and Pedro Alves. and Isa Félix. and Nuno Pimenta. and Mara Guerreiro.},
title={Anthropomorphic Virtual Assistant to Support Self-care of Type 2 Diabetes in Older People: A Perspective on the Role of Artificial Intelligence},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - GRAPP},
year={2019},
pages={323-331},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007572403230331},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - GRAPP
TI - Anthropomorphic Virtual Assistant to Support Self-care of Type 2 Diabetes in Older People: A Perspective on the Role of Artificial Intelligence
SN - 978-989-758-354-4
IS - 2184-4321
AU - Magyar, G.
AU - Balsa, J.
AU - Cláudio, A.
AU - Carmo, M.
AU - Neves, P.
AU - Alves, P.
AU - Félix, I.
AU - Pimenta, N.
AU - Guerreiro, M.
PY - 2019
SP - 323
EP - 331
DO - 10.5220/0007572403230331
PB - SciTePress