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Intelligent Support Systems for Lifestyle Change: Integrating Dialogue, Information Extraction, and Reasoning
Pei-Yu Chen, Selene Baez Santamaria, Maaike H.T. de Boer, Floris den Hengst, Bart A. Kamphorst, Quirine Smit, Shihan Wang, Johanna Wolff
457 - 459
10.3233/FAIA240223
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 386: HHAI 2024: Hybrid Human AI Systems for the Social Good
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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