TY - GEN
T1 - Intelligent virtual assistant for promoting behaviour change in older people with T2D
AU - Balsa, João
AU - Neves, Pedro
AU - Félix, Isa
AU - Pereira Guerreiro, Mara
AU - Alves, Pedro
AU - Carmo, Maria Beatriz
AU - Marques, Diogo
AU - Dias, António
AU - Henriques, Adriana
AU - Cláudio, Ana Paula
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2019.
PY - 2019
Y1 - 2019
N2 - We present a version of an application prototype developed in the context of the VASelfCare project. This application works as an intelligent anthropomorphic virtual relational agent that has the role of assisting older people with Type 2 Diabetes Mellitus (T2D) in medication adherence and lifestyle changes. In this paper, we focus on the development of the dialogue component of the system and in what we consider one of the main original contributions: the incorporation, in the way the dialogue flows, of Behaviour Change Techniques (BCTs), identified in the context of the Behaviour Change Wheel framework. We also describe the general architecture of the system, including the graphical component. Tests on the prototype pre-requisites were conducted with health professionals and older adults with T2D within five primary care units of the Portuguese National Health Service. Overall, these tests yielded encouraging data and endorsed our approach.
AB - We present a version of an application prototype developed in the context of the VASelfCare project. This application works as an intelligent anthropomorphic virtual relational agent that has the role of assisting older people with Type 2 Diabetes Mellitus (T2D) in medication adherence and lifestyle changes. In this paper, we focus on the development of the dialogue component of the system and in what we consider one of the main original contributions: the incorporation, in the way the dialogue flows, of Behaviour Change Techniques (BCTs), identified in the context of the Behaviour Change Wheel framework. We also describe the general architecture of the system, including the graphical component. Tests on the prototype pre-requisites were conducted with health professionals and older adults with T2D within five primary care units of the Portuguese National Health Service. Overall, these tests yielded encouraging data and endorsed our approach.
KW - Behaviour change
KW - Diabetes
KW - Intelligent virtual assistants
KW - Relational agents
KW - mHealth applications
UR - http://www.scopus.com/inward/record.url?scp=85072901265&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-30241-2_32
DO - 10.1007/978-3-030-30241-2_32
M3 - Conference contribution
AN - SCOPUS:85072901265
SN - 9783030302405
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 372
EP - 383
BT - Progress in Artificial Intelligence - 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Proceedings
A2 - Moura Oliveira, Paulo
A2 - Novais, Paulo
A2 - Reis, Luís Paulo
PB - Springer Verlag
T2 - 19th EPIA Conference on Artificial Intelligence, EPIA 2019
Y2 - 3 September 2019 through 6 September 2019
ER -
