From Scribbles to Shapes: Measuring Developmental Changes of Visuomotor Abilities in Drawings

<a href="https://embed.stanford.edu/iframe/?url=https%3A%2F%2Fpurl.stanford.edu%2Fsh008ff7751" class="su-underline">Show Content</a>

Abstract/Contents

Abstract: How do infants who can barely control their limbs grow into children who can produce richly meaningful drawings that express what they are learning about the world? One plausible contributor to this developmental change might be enhanced visuomotor control with age. In order to evaluate the developmental change of children’s visuomotor ability, we designed a set of tablet-based tasks to trace and copy primitive geometric shapes and recruited 4880 children, whose age ranges from two to ten, to complete these tasks. To evaluate the 9967 tracing and copying images from children, we then developed an automatic procedure to quantify children’s performance and collected adult ratings on a subset of the data to train and validate the model’s evaluation. The model is able to reproduce similar evaluations as human raters. Using the model on the full dataset, we found an age-related increase in children’s visuomotor ability in drawing.

Type of resource	text
Date created	December 12, 2019

Subject	Visuomotor Ability
Subject	Drawing Development
Subject	Symbolic Systems Program Thesis
Genre	Thesis

Related item	Title Project Repository
Location	https://purl.stanford.edu/sh008ff7751

Use and reproduction: User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License: This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

Preferred Citation: Chai, Z, Fan, J., Long, B. and Frank, M. C. (2019). From Scribbles to Shapes: Measuring Developmental Changes of Visuomotor Abilities in Drawings. Stanford Digital Repository. Available at: https://purl.stanford.edu/sh008ff7751

Master's Theses, Symbolic Systems Program, Stanford University

Loading usage metrics...