Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Progress in Artificial Intelligence - 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Proceedings |
| Editors | Paulo Moura Oliveira, Paulo Novais, Luís Paulo Reis |
| Publisher | Springer Verlag |
| Pages | 372-383 |
| Number of pages | 12 |
| ISBN (Print) | 9783030302405 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | 19th EPIA Conference on Artificial Intelligence, EPIA 2019 - Vila Real, Portugal Duration: 3 Sept 2019 → 6 Sept 2019 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 11804 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 19th EPIA Conference on Artificial Intelligence, EPIA 2019 |
|---|---|
| Country/Territory | Portugal |
| City | Vila Real |
| Period | 3/09/19 → 6/09/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Behaviour change
- Diabetes
- Intelligent virtual assistants
- Relational agents
- mHealth applications
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