A study for correlation identification in human-computer interface based on HSB color model

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Abstract

In recent years, visual perception has been paid more attention by many researchers in the field of data visualization. The study of visual perception has become another research hot spot in the research of visualization. As an important tool for visualization, this paper focuses on the scatterplots. Series of scatterplot were generated by programming and then used in the experiment. The results of experiments indicate that the influence of the color, amount and correlation of the interference points on the reaction time is significant under the white background and suitable combination is found which is important for designing the scatterplots.

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Dai, Y., Xue, C., & Guo, Q. (2018). A study for correlation identification in human-computer interface based on HSB color model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10904 LNCS, pp. 477–489). Springer Verlag. https://doi.org/10.1007/978-3-319-92043-6_40

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