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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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.
Original languageEnglish
Title of host publicationHHAI 2024: Hybrid Human AI Systems for the Social Good
Subtitle of host publicationProceedings of the Third International Conference on Hybrid Human-Artificial Intelligence
EditorsF. Lorig, J. Tucker, A. Dahlgren Lindström, F. Dignum, P. Murukannaiah, A. Theodorou, P. Yolum
PublisherIOS Press
Pages457-459
ISBN (Electronic)9781643685229
DOIs
Publication statusPublished - 5 Jun 2024

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume386
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Fingerprint

Dive into the research topics of 'Intelligent Support Systems for Lifestyle Change: Integrating Dialogue, Information Extraction, and Reasoning'. Together they form a unique fingerprint.

Cite this