Ontologies for social, cognitive and affective agent-based support of child’s diabetes self-management

Mark A. Neerincx, Frank Kaptein, Michael A. van Bekkum, Hans-Ulrich Krieger, Bernd Kiefer, Rifca Peters, Joost Broekens, Yiannis Demiris, Maya Sapelli

In: Workshop on Artificial Intelligence for Diabetes. Artificial Intelligence for Diabetes (AID) located at ECAI 2016 EurAI 2016.


The PAL project is developing: (1) an embodied conversational agent (robot and its avatar); (2) applications for child-agent activities that help children from 8 to 14 years old to acquire the required knowledge, skills and attitude for adequate diabetes self-management; and (3) dashboards for caregivers to enhance their supportive role for this self-management learning process. A common ontology is constructed to support normative behavior in a flexible way, to establish mutual understanding in the human-agent system, to integrate and utilize knowledge from the application and scientific domains, and to produce sensible human-agent dialogues. This paper presents the general vision, approach, and state of the art.


PAL_ECAIpaper_AIdiabetesWorkshop2016_final.pdf (pdf, 319 KB)

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz