Yang, H.Li, Y. -NZhang, Kang2020-07-222020-07-222019-06-120178-2789http://dx.doi.org/10.1007/s00371-019-01706-6https://hdl.handle.net/10735.1/8728Due to copyright restrictions and/or publisher's policy full text access from Treasures at UT Dallas is limited to current UTD affiliates (use the provided Link to Article).Supplementary material is available on publisher's website. Use the DOI link below.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. ©2019, Springer-Verlag GmbH Germany, part of Springer Nature.en©2019 Springer-Verlag GmbHColor visionPerception—DiscriminationVisualizationFlow visualizationRegression analysisUser interfaces (Computer systems)Graphical user interfaces (Computer systems)Information visualizationColorarticleYang, H., Y. -N Li, and K. Zhang. 2020. "Interactive influences of color attributes on color perception bias." Visual Computer 36(5): 925-937, doi: 10.1007/s00371-019-01706-6365