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 language | English |
|---|---|
| Title of host publication | HHAI 2024 |
| Subtitle of host publication | Hybrid Human AI Systems for the Social Good - Proceedings of the 3rd International Conference on Hybrid Human-Artificial Intelligence |
| Editors | Fabian Lorig, Jason Tucker, Adam Dahlgren Lindstrom, Frank Dignum, Pradeep Murukannaiah, Andreas Theodorou, Pinar Yolum |
| Publisher | IOS Press BV |
| Pages | 457-459 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781643685229 |
| DOIs | |
| Publication status | Published - 5 Jun 2024 |
| Event | 3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2024 - Hybrid, Malmo, Sweden Duration: 10 Jun 2024 → 14 Jun 2024 |
Publication series
| Name | Frontiers in Artificial Intelligence and Applications |
|---|---|
| Volume | 386 |
| ISSN (Print) | 0922-6389 |
| ISSN (Electronic) | 1879-8314 |
Conference
| Conference | 3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2024 |
|---|---|
| Country/Territory | Sweden |
| City | Hybrid, Malmo |
| Period | 10/06/24 → 14/06/24 |
Bibliographical note
Publisher Copyright:© 2024 The Authors.
Keywords
- Behavior support system
- Dialogue
- Knowledge graphs
- Reasoning