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 Modelling
DSC - Data Science PCS - Perceptual and Cognitive Systems
ELSS - 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