Background: Conversational agents, which we defined as computer programs that are designed to simulate two-way human conversation by using language and are potentially supplemented with nonlanguage modalities, offer promising avenues for health interventions for different populations across the life course. There is a lack of open-access and user-friendly resources for identifying research trends and gaps and p...
In the context of the VASelfCare project, we developed an application prototype of an intelligent anthropomorphic virtual assistant. Designed as a relational agent, the virtual assistant has the role of supporting older people with Type 2 Diabetes Mellitus (T2D) in medication adherence and lifestyle changes. Our paper has two goals: describing the essentials of this prototype, and reporting on usability evaluat...
In this work I propose an architecture that can serve as a basis to natural language processing systems that, besides pursuing its language processing goals, are robust (in the sense that the nonrecognition of some input can be automatically overcome) and/or can evolve (in the sense that the recovery from detected faults may contribute to the update of system components, allowing for an improved performance in ...