A Study on Cognitive Effects of Canvas Size for Augmenting Drawing Skill
May 07, 2024 Β· Declared Dead Β· π 2024 Nicograph International (NicoInt)
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Authors
Jize Wang, Kazuhisa Nakano, Daiyannan Chen, Zhengyu Huang, Tsukasa Fukusato, Kazunori Miyata, Haoran Xie
arXiv ID
2405.05284
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.GR
Citations
2
Venue
2024 Nicograph International (NicoInt)
Last Checked
4 months ago
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.
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