Generative AI in Children's Creative Collaboration: Impact, Perception, and Design Guidelines

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Authors: Daeun Yoo, Michele Newman, Caroline R. Pitt, Kevin Huu Vo, Michelle Zhang, Michelle Kim, Katie Davis, Jason Yip
Cited by: 1
References: 132

Abstract

The advent of Generative AI (GenAI) has raised discussions about its effects on individuals. However, little is known about its impact on children’s creative collaboration, despite its importance for social and cognitive development. We examined GenAI’s role in children’s creative collaboration through five co-design sessions with 28 children (ages 5-11) using diverse GenAI tools (text, image, video, voice); 17 parents participated in focus group interviews. Our findings show that GenAI can foster positive social dynamics by enabling “Human vs. AI” teaming and children’s co-creation with shared ownership. However, GenAI disrupted collaborations when roles between children were unclear, AI ignored group dialogue, and AI dominated children’s agency. Children and parents envisioned socially attuned AI that could play an “older sibling” role–scaffolding while allowing playful disagreement–while raising concerns about children’s overreliance on GenAI. This work advances understanding of GenAI in collaboration and proposes design implications for designing AI systems that support child-centered collaboration.

Fields of Study & Subjects

Teaching and Learning Programming Innovative Human-Technology Interaction Social Robot Interaction and HRI

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–23
Publication date
13 April 2026