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Child-Centered KG for Supporting Personalized Child-Robot Interactions
Gheorghe, Alexandra (2025) Child-Centered KG for Supporting Personalized Child-Robot Interactions.
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| Abstract: | Personalization in Child-Robot Interaction (CRI) has been shown to improve engagement in children, particularly in longitudinal studies. The Robot Bookworm project aims to enhance reading motivation in children through book-based conversations with a social robot, Leo. This project introduces a Knowledge Graph(KG)-based user model as a dynamic and structured way to represent child profile data, replacing flat memory formats which were used previously in this study. The KG supports scalable, interpretable and personalized CRIs. We implemented a system that transforms static old user data and updated child profile attributes from co-design sessions into a Personal KG (PKG). The system includes LLM-based validation and a flagging mechanism that ensures high data quality. The KG was evaluated against the flat user model through a study involving 51 children aged 8- 11. Two personalization conditions were compared (letter and chat-bot), along with a comparison between the old KG-based user model and the newly obtained KG-user profile from the co-design sessions, focusing on data completeness, flagged issues and perceived personalization.The KG schema achieved over 90% completion rates for newly introduced fields and reduced the number of data quality issues compared to flat profiles. While perceived personalization remained similar between conditions, the KG enabled significantly cleaner, and more flexible querying, paving the way for future scalable and personalized CRI systems. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/107410 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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