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Related Concept Videos

Steps in the Modeling Process01:14

Steps in the Modeling Process

284
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
284

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Quantifying developmental and individual differences in spontaneous drawing completion among children.

Anja Philippsen1, Sho Tsuji1,2, Yukie Nagai1,2

  • 1International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo, Tokyo, Japan.

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Summary

Children

Keywords:
autistic traitscognitive developmentconvolutional neural network (CNN)individual differencespredictive codingrepresentational drawing

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Area of Science:

  • Developmental Psychology
  • Cognitive Science
  • Neuroscience

Background:

  • Quantifying children's drawings is complex.
  • Drawing development varies by age and individual.
  • Autism Spectrum Disorder (ASD) may impact drawing.

Purpose of the Study:

  • Investigate cognitive development through children's drawings.
  • Analyze drawing tendencies across age and individual differences.
  • Explore the link between drawing and autistic traits.

Main Methods:

  • Children completed partially drawn objects.
  • Crowd-sourced adult ratings assessed drawing styles.
  • Deep convolutional neural networks (CNNs) quantified drawing features.

Main Results:

  • Drawing completion increased with age; scribbling decreased.
  • No correlation found between drawing and autistic traits.
  • Older children showed more adult-like stimulus adaptation.

Conclusions:

  • Children's drawings offer insights into cognitive development.
  • Age impacts drawing behavior and stimulus adaptation.
  • CNN analysis provides novel quantification methods.