Print Email Facebook Twitter Ontologies for Social, Cognitive and Affective Agent-Based Support of Child’s Diabetes Self Management Title Ontologies for Social, Cognitive and Affective Agent-Based Support of Child’s Diabetes Self Management Author Neerincx, M.A. Kaptein, F. van Bekkum, M.A. Krieger, H.U. Kiefer, B. Peters, R. Broekens, J. Sappelli, M. Publication year 2016 Abstract 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 humanagent dialogues. This paper presents the general vision, approach, and state of the art. Subject 2016 ICT 2015 Human & Operational ModellingDSC - Data Science PCS - Perceptual and Cognitive SystemsELSS - Earth, Life and Social Sciences TS - Technical Science To reference this document use: http://resolver.tudelft.nl/uuid:b12d80b2-95e5-4b3a-9e16-9146ea9018b1 TNO identifier 745808 Source ECAI 2016, 1st ECAI Workshop on Artificial intelligence for Diabetes at the 22nd European Conference on Artificial Intelligence, 35-38 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.