Intelligent Support Systems for Lifestyle Change
Integrating Dialogue, Information Extraction, and Reasoning
Pei Yu Chen (TU Delft - Interactive Intelligence)
Selene Baez Santamaria (Vrije Universiteit Amsterdam)
Maaike H.T. De Boer (TNO)
Floris den Hengst (Vrije Universiteit Amsterdam)
Bart A. Kamphorst (Wageningen University & Research)
Quirine Smit (TNO)
Shihan Wang (Universiteit Utrecht)
Johanna Wolff (University of Twente)
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Abstract
Behavior change support systems need to take into account individual needs and preferences to provide appropriate support. In this demonstration, we illustrate how this might be achieved through the explicit modeling of user characteristics within knowledge graphs (KG), captured in a dialogue between the system and the user. We demonstrate how up-to-date information enables reasoning for providing personalized support.
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