Interactive influences of color attributes on color perception bias

  • Huan Yang
  • Yi-Na LiEmail author
  • Kang Zhang
Original Article


Graphic user interfaces and information visualization use color to represent qualitative or quantitative information. The interaction between adjacent colors leads to perceptual bias, known as simultaneous color contrast, and implicitly distort the understanding of visualized information presentation. To investigate the effect of simultaneous color contrast, we conduct two empirical experiments, in both theoretical and application settings, using a set of random target/proximal combinations of colors in the CIEL*a*b* color space. The perception bias of a target color, induced by its surround, is measured. Linear regression analysis indicates that both a high saturation of the proximal color and a high a*/low b* value of the target color cause a strong simultaneous color contrast (i.e., high perception bias). A moderating effect analysis indicates that a* value/b* value of the target color moderates the influence of the saturation of the proximal color on the perception bias. For example, controlling the saturation of the proximal color, the more reddish/yellowish the target color is, the more alleviated the perceptual bias is.


Color perception Perception bias Simultaneous color contrast Visualization 



This research is supported by National Natural Science Foundation of China (71702080), Humanities and Social Sciences Fund of Ministry of Education (17YJC630071), and an Australian Government Research Training Program Scholarship.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

371_2019_1706_MOESM1_ESM.docx (226 kb)
Supplementary material 1 (docx 226 KB)


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of Intelligence and ComputingTianjin UniversityTianjinChina
  2. 2.School of ManagementUniversity of Science and Technology of ChinaHefeiChina
  3. 3.Department of Computer ScienceThe University of Texas at DallasRichardsonUSA
  4. 4.Faculty of Information TechnologyMacau University of Science and TechnologyMacauChina

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