Abstract
Understanding how children conceive of AI is essential as AI-enabled technologies become part of their everyday lives. Yet most research relies on verbal or survey-based methods that capture only a limited view of children's perspectives. We address this gap through a multi-modal, participatory study with 50 primary-school children aged 6-11. We combine group discussions with picture and sticker tasks, craft-based prototyping, and embodied theater activities. Across all modes, children described AI as conversational and often humanoid, but in the design and performing mode they created non-anthropomorphic, relational devices that revealed power dynamics and boundaries rarely visible in recall modes alone. The findings show that children's understandings are mode-dependent and multi-layered, suggesting that researchers and designers can access children's lived experiences and imaginative futures with AI by using a mix of multi-modal methods.
| Original language | English |
|---|---|
| Title of host publication | CHI EA '26 |
| Subtitle of host publication | Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems |
| Editors | Nuria Oliver, David A. Shamma, Heloisa Candello, Pablo Cesar, Pedro Lopes, Valentino Artizzu, Fiona Draxler, Gustavo Lopez, Anke V. Reinschluessel, Xin Tong, Phoebe O. Toups Dugas |
| Place of Publication | New York, NY |
| Publisher | Association for Computing Machinery (ACM) |
| Number of pages | 20 |
| ISBN (Electronic) | 979-8-4007-2281-3 |
| DOIs | |
| Publication status | Published - 13 Apr 2026 |
| Event | 2026 CHI Conference on Human Factors in Computing Systems, CHI 2026 - Barcelona, Spain Duration: 13 Apr 2026 → 17 Apr 2026 |
Conference
| Conference | 2026 CHI Conference on Human Factors in Computing Systems, CHI 2026 |
|---|---|
| Abbreviated title | CHI |
| Country/Territory | Spain |
| City | Barcelona |
| Period | 13/04/26 → 17/04/26 |
Keywords
- Child-centered AI
- Embodied design
- Intimate technologies
- Participatory design Research
- Relational dynamics
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