数据可视化中的设计美学研究综述  

Design Aesthetics Studies in Data Visualization

作　　者：贾倩文 柴春雷[2] 蔡蕊屹 JIA Qian-wen;CHAI Chun-lei;CAI Rui-yi(Tianjin Tianshi University,Tianjin 301738,China;Zhejiang University,Hangzhou 310027,China)

机构地区：[1]天津天狮学院,天津301738 [2]浙江大学,杭州310027

出　　处：《包装工程》2022年第20期13-25,共13页Packaging Engineering

基　　金：天津市艺术科学规划一般项目(D22005)。

摘　　要：目的对国内外数据可视化中设计美学研究的梳理,形成较为全面、清晰的知识框架并为未来相关理论与技术应用的研究发展提供参考。方法基于CNKI与WoS数据库选取1984-2022年的文献,利用可视化文献分析软件对关键词与热点进行共现分析,以数据可视化定义与分类为起点,对数据可视化的交互技术与美学评价等方面,按时间顺序对相关学者的代表性观点进行归纳并分析其相互关系。结论梳理了可视化表现形式的发展过程及其交互方式与技术;总结了数据可视化中的美学要素;分析了数据可视化中设计美学与传统美学的异同;预测了数据可视化中设计美学研究方向与发展趋势;指出数据可视化中设计美学研究应以数据的高效获取为目标、以数字化技术与美学设计为手段、以体验升级为重点,将客观数据与用户主观判断有机融合,为用户创造更好更高效的数据获取体验。The paper intends to sort out the domestic and international research on design aesthetics,form a com-prehensive and clear framework,and provide a reference for future research and application of related theories and tech-nologies.Based on the 1984-2022 literature selection from CNKI and WoS database,the keywords and hotspots are jointly analyzed by using the relevant visual literature analysis software.The definition and classification of data visuali-zation are used as a starting point to summarize and analyze the representative views of scholars on interaction technology and aesthetic evaluation of data visualization in chronological order.The paper sorted out the development process of visualization expressions,proposed the interaction methods and technologies of data visualization and summarized the aesthetic elements in the data visualization;the similarities and differences between design aesthetics in data visualization and traditional aesthetics were analyzed,and the research direction and development trend of design aesthetics in data visualization are predicted.The paper pointed out that the research of design aesthetics in data visualization should take the efficient acquisition of data as the goal,take digital technology and aesthetic design as the means,focus on experience upgrading,and organically integrate objective data with user subjective judgment,so as to create a better and more effi-cient data acquisition experience for users.

关 键 词：数据可视化 设计美学 交互技术 美学要素 

分 类 号：TB482[一般工业技术—包装工程]