Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

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

Jize Wang, Kazuhisa Nakano, Daiyannan Chen, Zhengyu Huang, Tsukasa Fukusato, Kazunori Miyata, Haoran Xie

TL;DR

This study investigates whether canvas size influences the fidelity of imitation drawings from reference images. Using a web-based painting interface with three canvas sizes and two reference objects ($500\times500$ px references), eight participants completed reproduction tasks with no time limit, followed by pre/post questionnaires. Results indicate the standard canvas size ($500\times500$ px) yields the best balance of ease of use and faithful reproduction, while smaller canvases hinder accuracy and larger canvases promote local detail at the potential cost of fidelity. The work provides actionable guidance for data collection in sketch-to-image pipelines and underscores the need for further research on gaze behavior and interactive reference adjustments in relation to canvas size.

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.

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

TL;DR

This study investigates whether canvas size influences the fidelity of imitation drawings from reference images. Using a web-based painting interface with three canvas sizes and two reference objects ( px references), eight participants completed reproduction tasks with no time limit, followed by pre/post questionnaires. Results indicate the standard canvas size ( px) yields the best balance of ease of use and faithful reproduction, while smaller canvases hinder accuracy and larger canvases promote local detail at the potential cost of fidelity. The work provides actionable guidance for data collection in sketch-to-image pipelines and underscores the need for further research on gaze behavior and interactive reference adjustments in relation to canvas size.

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.
Paper Structure (9 sections, 6 figures)

This paper contains 9 sections, 6 figures.

Table of Contents

  1. Introduction
  2. Related Works
  3. Drawings with reference images
  4. Drawing Support Systems
  5. Experiment Design
  6. Results
  7. Questionnaire Results
  8. Free Comments of Participants
  9. Conclusion

Figures (6)

  • Figure 1: Comparing the canvas size we prepared in the drawing experiment.
  • Figure 2: Drawing Interface of the painting system.
  • Figure 3: Reference Images: (left) David and (right) Stanford Bunny. These sizes are $500$px $\times$$500$px. Data from Sculpting12.
  • Figure 4: Examples of reproduction results drawn by participants.
  • Figure 5: Questionnaire results of positive question groups.
  • ...and 1 more figures