Nomisha Kurian
To build AI that children can intuitively understand and benefit from, designers need a design grammar that truly serves their developmental needs. This paper bridges Artificial Intelligence design for children - an emerging field still defining its best practices - and children’s animation, a well-established field with decades of experience in engaging children through accessible and engaging storytelling. Pairing Piagetian developmental theory with design pattern extraction from 52 works of children’s animation, the paper presents a “six scaffold” framework that integrates design insights transferable to child-centred AI design: (1) signals for visual animacy and clarity, (2) sound for musical and auditory scaffolding, (3) synchrony in audiovisual cues 4) sidekick -style personas (5) storyplay that supports symbolic play and imaginative exploration, and (6) structure in the form of predictable narratives . These strategies - long refined in children’s animation - function as multimodal scaffolds for attention, understanding, and emotional attunement, supporting children’s learning and emotional comfort. This structured design grammar is transferable to AI design. By reframing cinematic storytelling and child development theory as design logic for AI, the paper offers heuristics for crafting intuitive AI that aligns with children’s cognitive stages and emotional needs. The work contributes to design theory by showing how sensory, affective and narrative techniques can inform developmentally-attuned AI design. Future directions include empirical testing, cultural adaptation, and participatory co-design.