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.
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Regional Health Administration of Lisbon and Tagus Valley.
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We include participants’ ids to guarantee traceability.
References
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Acknowledgements
The authors are indebted to other VASelfCare team members for their contribution to the software development (http://vaselfcare.rd.ciencias.ulisboa.pt/). This work was supported by FCT and Compete 2020 (grant number LISBOA-01-0145-FEDER-024250). It is also supported by UID/MULTI /04046/2019 Research Unit grant from FCT, Portugal (to BioISI).
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Balsa, J. et al. (2019). Intelligent Virtual Assistant for Promoting Behaviour Change in Older People with T2D. In: Moura Oliveira, P., Novais, P., Reis, L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science(), vol 11804. Springer, Cham. https://doi.org/10.1007/978-3-030-30241-2_32
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DOI: https://doi.org/10.1007/978-3-030-30241-2_32
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