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Publikation

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.

Zusammenfassung

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.

Projekte