• Media type: E-Article
  • Title: Evaluation and Analysis of White Space in Wu Guanzhong’s Chinese Paintings
  • Contributor: Fan, ZhenBao; Zhang, Kang; Zheng, XianJun Sam
  • imprint: MIT Press - Journals, 2019
  • Published in: Leonardo
  • Language: English
  • DOI: 10.1162/leon_a_01409
  • ISSN: 1530-9282; 0024-094X
  • Keywords: Computer Science Applications ; Music ; Engineering (miscellaneous) ; Visual Arts and Performing Arts
  • Origination:
  • Footnote:
  • Description: <jats:p> This article reports on a recent study that examines the effect of white space on perception of Chinese paintings. The authors investigate whether white space in Chinese paintings is not simply a blank background space but rather meaningful for aesthetic perception. Applying a computational saliency model to analyze the influence of white space on viewers’ visual information processing, the authors conducted an eye-tracking experiment. As a case study, they analyzed paintings by a well-known artist, Wu Guanzhong, and collected users’ subjective aesthetic ratings. Their results show that white space is not just a silent background: It is intentionally designed to convey certain information and has a significant effect on viewers’ aesthetic experience. </jats:p>