Towards Understanding Children’s Collaborative Interaction Patterns in Child-AI Co-creative Interfaces
Abstract
Children are increasingly using generative AI for co-creative activities, such as storytelling. While co-creativity is inherently about collaboration between children and AI, little is known about how children naturally engage, respond, and negotiate collaboration with AI. To address this gap, we conducted a participatory design study with children (ages 8–13) to examine the roles children and AI take and the strategies children use to align AI’s output with their intent. Our findings introduce four novel child–AI collaboration profiles. We found that children were open to technical AI refinements (e.g., adding details to their drawings) as scaffolds for developing drawing skills, but resisted conceptual transformations (e.g., changing objects) that altered their original ideas. We introduce the Child-Centered Co-creative AI (CCAI, “Kai”) framework, grounded in children’s natural collaborative behaviors during co-creation with AI, to inform the design of future child–AI co-creativity interfaces.
Fields of Study & Subjects
Teaching and Learning Programming
Design Education and Practice
Innovative Human-Technology Interaction
Publication details
- Journal / source
- Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Pages
- 1–20
- Publication date
- 13 April 2026