Parallel developmental changes in children’s production and recognition of line drawings of visual concepts
Bria Long (),
Judith E. Fan,
Holly Huey,
Zixian Chai and
Michael C. Frank
Additional contact information
Bria Long: Stanford University
Judith E. Fan: Stanford University
Holly Huey: University of California, San Diego
Zixian Chai: Stanford University
Michael C. Frank: University of California, San Diego
Nature Communications, 2024, vol. 15, issue 1, 1-15
Abstract:
Abstract Childhood is marked by the rapid accumulation of knowledge and the prolific production of drawings. We conducted a systematic study of how children create and recognize line drawings of visual concepts. We recruited 2-10-year-olds to draw 48 categories via a kiosk at a children’s museum, resulting in >37K drawings. We analyze changes in the category-diagnostic information in these drawings using vision algorithms and annotations of object parts. We find developmental gains in children’s inclusion of category-diagnostic information that are not reducible to variation in visuomotor control or effort. Moreover, even unrecognizable drawings contain information about the animacy and size of the category children tried to draw. Using guessing games at the same kiosk, we find that children improve across childhood at recognizing each other’s line drawings. This work leverages vision algorithms to characterize developmental changes in children’s drawings and suggests that these changes reflect refinements in children’s internal representations.
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-023-44529-9
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DOI: 10.1038/s41467-023-44529-9
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