@inproceedings{5f90cab4a7dd4ccb9ce94b0bead8ec60,
title = "Intelligent Support Systems for Lifestyle Change: Integrating Dialogue, Information Extraction, and Reasoning",
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.",
keywords = "behavior support system, dialogue, knowledge graphs, reasoning",
author = "Pei-Yu Chen and {Baez Santamaria}, Selene and {de Boer}, {Maaike H.T.} and {den Hengst}, Floris and Kamphorst, {Bart A.} and Quirine Smit and Shihan Wang and Johanna Wolff",
year = "2024",
doi = "10.3233/FAIA240223",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "457--459",
editor = "Fabian Lorig and Jason Tucker and {Dahlgren Lindstr{\"o}m}, Adam and Frank Dignum and Pradeep Murukannaiah and Andreas Theodorou and Pinar Yolum",
booktitle = "HHAI 2024: Hybrid AI Systems for the Social Good",
address = "Netherlands",
note = "3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2024 ; Conference date: 10-06-2024 Through 14-06-2024",
}