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

Pharmaceutical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Citations (Scopus)

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 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.

Original language	English
Title of host publication	VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Editors	Andreas Kerren, Christophe Hurter, Jose Braz
Publisher	SciTePress
Pages	323-331
Number of pages	9
ISBN (Electronic)	9789897583544
DOIs	https://doi.org/10.5220/0007572403230331
Publication status	Published - 2019
Event	14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019 - Prague, Czech Republic Duration: 25 Feb 2019 → 27 Feb 2019

Publication series

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

Conference

Conference	14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019
Country/Territory	Czech Republic
City	Prague
Period	25/02/19 → 27/02/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Artificial Intelligence
Behaviour Change
Health Care
Older People
Relational Agents
Type 2 Diabetes
Virtual Humans

Access to Document

10.5220/0007572403230331

Cite this

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. In 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).

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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\}",

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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",

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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. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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. In Kerren A, Hurter C, Braz J, editors, 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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