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

要旨

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.

著者
Daeun Yoo
University of Washington, Seattle, Washington, United States
Michele Newman
University of Washington, Seattle, Washington, United States
Caroline Pitt
University of Washington, Seattle, Washington, United States
Kevin Huu. Vo
University of Washington, Seattle, Washington, United States
Michelle Zhang
University of Washington , Seattle, Washington, United States
Michelle Kim
University of Washington Information School, Seattle, Washington, United States
Katie Davis
University of Washington, Seattle, Washington, United States
Jason Yip
University of Washington, Seattle, Washington, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: AI for Youth Learning

P1 - Room 129
7 件の発表
2026-04-17 18:00:00
2026-04-17 19:30:00