Discussion of the role of perception in visualization: From Cleveland to Heer, we understand how much and why it is important
DOI:
https://doi.org/10.54097/s5xr5i9dmtKeywords:
Perception, Visualization, Data interpretation, Cognitive process, Design principlesAbstract
This paper starts with the literature review from Cleveland to Heer, and deeply discusses the role of perception in the visualization process, and the importance of understanding this role. The study points out that visualization is not only a process of conveying data, but also a process of interacting with the audience's perception. Effective visualization leads viewers to better understand and interpret the data, which also relies on a deep understanding of the perceptual process. By exploring the role of perception in the visualization, this paper highlights the importance of perception in the design process, and provides designers with suggestions on how to better utilize perceptual principles to improve the effectiveness and influence of data visualization.
References
Fu Wenqing. Visual design aid tool study based on CMF perception evaluation data [J].[2024-02-03].
Liu Qiuyu. Research on quantitative model for evaluation of data visualization design based on information cognition-Taking the UI design of a satellite launch quality control display system as an example [D]. Chongqing University, 2021. , Miao Dongxin, Yu Shulan. Application of gestalt theory in data visualization design [J]. Art & Technology, 2019(6):2. DOI: CNKI: SUN: YSKK.0.2019-06-056.
Zhang Shouxue. Analysis and design of structural models for high-dimensional data visualization [D]. Southeastern University [2024-02-03].
Wang Song, Wu Bin, Wu Yadong. Research and development of perceptual enhanced flow-like visualization method [J]. Journal of Computer-Aided Design and Graphics, 2018, 30(1):14.
DOI:10.3724/SP.J.1089.2018.16925.
Dou Jinhua, Qin Jingyan. Research on the innovative design of product and service system based on context-aware multidimensional data visualization [J]. Packaging engineering, 2017 (2): 87-91.
Li Jiajia, Yu Qinning. Research on the visual design of intelligent virtual assistant with embodied theory [J]. Packaging engineering, 2021,42(18):6.
DOI: 10.19554 / j.cnki.1001-3563.2021.18.032.
Hong Luhe. Design and implementation of a data system based on visualization technology [D]. Xiamen University, 2011.
Huang Huiyin. Visual system: 201611261719 [P] [2024-02-03].
Li Dan, Li Jianping, Chen Qian. Method and device of sensing data: 202011552344 [P] [2024-02-03].
Zhang Shouxue. Analysis and design of structural models for high-dimensional data visualization [D]. Southeast University, 2017.
DOI: CNKI: CDMD: 2.1018.040803.
Xu Yongshun. Study on the visualization design of multidomain heterogeneous data based on image schema [D]. Jiangnan University, 2019.
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