Anthropomorphic virtual assistant to support self-care of type 2 diabetes in older people: A perspective on the role of artificial intelligence

Gergely Magyar; João Balsa; Ana Paula Cláudio; Maria Beatriz Carmo; Pedro Neves; Pedro Alves; Isa Brito Félix; Nuno Pimenta; Mara Pereira Guerreiro

doi:10.5220/0007572403230331

Anthropomorphic virtual assistant to support self-care of type 2 diabetes in older people: A perspective on the role of artificial intelligence

Gergely Magyar
, João Balsa
, Ana Paula Cláudio
, Maria Beatriz Carmo
, Pedro Neves
, Pedro Alves
, Isa Brito Félix
, Nuno Pimenta
, Mara Pereira Guerreiro

Mestrado Integrado em Ciências Farmacêuticas

Resultado de pesquisa: ???type-name??? › ???researchoutput.researchoutputtypes.contributiontobookanthology.conference??? › revisão de pares

14 Citações (Scopus)

Resumo

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 chatbots. 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.

Idioma original	???core.languages.en_GB???
Título da publicação do anfitrião	VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Editores	Andreas Kerren, Christophe Hurter, Jose Braz
Editora	SciTePress
Páginas	323-331
Número de páginas	9
ISBN (eletrónico)	9789897583544
DOIs	https://doi.org/10.5220/0007572403230331
Estado da publicação	???researchoutput.status.published??? - 2019
Evento	14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019 - Prague Duração: 25 fev. 2019 → 27 fev. 2019

Série de publicação

Nome	VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Volume	1

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019
País/Território	Czech Republic
Cidade	Prague
Período	25/02/19 → 27/02/19

ODS da ONU

Este resultado contribui para o(s) seguinte(s) Objetivo(s) de Desenvolvimento Sustentável

ODS 3 Boa saúde e bem-estar

Acesso ao documento

10.5220/0007572403230331

Outros arquivos e links

Link to publication in Scopus

Citar isto

Magyar, G., Balsa, J., Cláudio, A. P., Carmo, M. B., Neves, P., Alves, P., Félix, I. B., Pimenta, N., & Guerreiro, M. P. (2019). Anthropomorphic virtual assistant to support self-care of type 2 diabetes in older people: A perspective on the role of artificial intelligence. Em A. Kerren, C. Hurter, & J. Braz (Eds.), VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 323-331). (VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; Vol. 1). SciTePress. https://doi.org/10.5220/0007572403230331

Magyar, Gergely ; Balsa, João ; Cláudio, Ana Paula et al. / Anthropomorphic virtual assistant to support self-care of type 2 diabetes in older people : A perspective on the role of artificial intelligence. VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. editor / Andreas Kerren ; Christophe Hurter ; Jose Braz. SciTePress, 2019. pp. 323-331 (VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications).

@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 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",

}

Magyar, G, Balsa, J, Cláudio, AP, Carmo, MB, Neves, P, Alves, P, Félix, IB, Pimenta, N & Guerreiro, MP 2019, Anthropomorphic virtual assistant to support self-care of type 2 diabetes in older people: A perspective on the role of artificial intelligence. em A Kerren, C Hurter & J Braz (eds), VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, vol. 1, SciTePress, pp. 323-331, 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019, Prague, Czech Republic, 25/02/19. https://doi.org/10.5220/0007572403230331

Anthropomorphic virtual assistant to support self-care of type 2 diabetes in older people: A perspective on the role of artificial intelligence. / Magyar, Gergely; Balsa, João; Cláudio, Ana Paula et al.
VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. ed. / Andreas Kerren; Christophe Hurter; Jose Braz. SciTePress, 2019. p. 323-331 (VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; Vol. 1).

Resultado de pesquisa: ???type-name??? › ???researchoutput.researchoutputtypes.contributiontobookanthology.conference??? › revisão de pares

TY - GEN

T1 - Anthropomorphic virtual assistant to support self-care of type 2 diabetes in older people

T2 - 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019

AU - Magyar, Gergely

AU - Balsa, João

AU - Cláudio, Ana Paula

AU - Carmo, Maria Beatriz

AU - Neves, Pedro

AU - Alves, Pedro

AU - Félix, Isa Brito

AU - Pimenta, Nuno

AU - Guerreiro, Mara Pereira

PY - 2019

Y1 - 2019

N2 - 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 chatbots. 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.

AB - 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 chatbots. 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.

KW - Artificial Intelligence

KW - Behaviour Change

KW - Health Care

KW - Older People

KW - Relational Agents

KW - Type 2 Diabetes

KW - Virtual Humans

UR - https://www.scopus.com/pages/publications/85068218256

U2 - 10.5220/0007572403230331

DO - 10.5220/0007572403230331

M3 - Conference contribution

AN - SCOPUS:85068218256

T3 - VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

SP - 323

EP - 331

BT - VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

A2 - Kerren, Andreas

A2 - Hurter, Christophe

A2 - Braz, Jose

PB - SciTePress

Y2 - 25 February 2019 through 27 February 2019

ER -

Magyar G, Balsa J, Cláudio AP, Carmo MB, Neves P, Alves P et al. Anthropomorphic virtual assistant to support self-care of type 2 diabetes in older people: A perspective on the role of artificial intelligence. Em Kerren A, Hurter C, Braz J, editores, VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SciTePress. 2019. p. 323-331. (VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications). doi: 10.5220/0007572403230331

Anthropomorphic virtual assistant to support self-care of type 2 diabetes in older people: A perspective on the role of artificial intelligence

Resumo

Série de publicação

???event.eventtypes.event.conference???

ODS da ONU

Acesso ao documento

Outros arquivos e links

Impressão digital

Citar isto