Intelligent Support Systems for Lifestyle Change: Integrating Dialogue, Information Extraction, and Reasoning
Publication date
2024-06-05
Authors
Chen, Pei Yu
Baez Santamaria, Selene
De Boer, Maaike H.T.
Den Hengst, Floris
Kamphorst, Bart A.
Smit, Quirine
Wang, Shihan
Wolff, Johanna
Editors
Lorig, Fabian
Tucker, Jason
Lindstrom, Adam Dahlgren
Dignum, Frank
Murukannaiah, Pradeep
Theodorou, Andreas
Yolum, Pinar
Advisors
Supervisors
Document Type
Part of book
Metadata
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License
cc_by_nc
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, Artificial Intelligence
Citation
Chen, P Y, Baez Santamaria, S, De Boer, M H T, Den Hengst, F, Kamphorst, B A, Smit, Q, Wang, S & Wolff, J 2024, Intelligent Support Systems for Lifestyle Change : Integrating Dialogue, Information Extraction, and Reasoning. in F Lorig, J Tucker, A D Lindstrom, F Dignum, P Murukannaiah, A Theodorou & P Yolum (eds), HHAI 2024 : Hybrid Human AI Systems for the Social Good - Proceedings of the 3rd International Conference on Hybrid Human-Artificial Intelligence. Frontiers in Artificial Intelligence and Applications, vol. 386, IOS Press BV, pp. 457-459, 3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2024, Hybrid, Malmo, Sweden, 10/06/24. https://doi.org/10.3233/FAIA240223, conference