A Study on Cognitive Effects of Canvas Size for Augmenting Drawing Skill

TL;DR

This study investigates how the size of the drawing canvas, relative to a reference image, affects the accuracy of imitative sketches, revealing that matching canvas and reference image sizes enhances drawing precision.

Contribution

It introduces a web-based drawing interface to empirically test the impact of canvas size proportionality on drawing accuracy, highlighting a key factor in augmenting drawing skills.

Findings

Matching canvas and reference image sizes improves sketch fidelity.

The size of the canvas significantly influences drawing accuracy.

The study supports using proportional canvas sizing to enhance drawing support systems.

Abstract

In recent years, the field of generative artificial intelligence, particularly in the domain of image generation, has exerted a profound influence on society. Despite the capability of AI to produce images of high quality, the augmentation of users' drawing abilities through the provision of drawing support systems emerges as a challenging issue. In this study, we propose that a cognitive factor, specifically, the size of the canvas, may exert a considerable influence on the outcomes of imitative drawing sketches when utilizing reference images. To investigate this hypothesis, a web based drawing interface was utilized, designed specifically to evaluate the effect of the canvas size's proportionality to the reference image on the fidelity of the drawings produced. The findings from our research lend credence to the hypothesis that a drawing interface, featuring a canvas whose dimensions closely match those of the reference image, markedly improves the precision of user-generated sketches.