Towards Understanding Children’s Collaborative Interaction Patterns in Child-AI Co-creative Interfaces

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Authors: Francesca Fusco, Caroline R. Pitt, Michele Newman, Jason Yip, Nikita Soni
Cited by: 1
References: 47

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