期刊文献+

信息可视化中视觉载体界面设计 被引量:9

Research on the Design of Visual Interface in Information Visualization
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摘要 目的研究人的视觉特性和人的信息传递与处理过程,对信息可视化设计中视觉界面设计的文字、色彩、图标等进行人机理论分析和参数计算,为信息可视化视觉界面设计提供参考.方法基于人机工程学对视觉界面中信息载体界面尺寸、文字大小和图标尺寸等进行实验和理论分析,研究了视角、视距与视觉界面的关系.结果信息载体界面的尺寸、字符的高低和图形的大小与用户的视距和视角有直接关系,观察的最佳视角范围在30°视锥内;色彩界面中亮度对比6∶1和15∶1为最佳,1~4种色彩最佳,最多不宜超过7种.结论通过对视觉载体界面的具体分析所建立的理论模型和公式,可以较好地计算视觉界面中各部分功能尺寸,能够较好地达到信息可视化的设计目的. This research studies the visual characteristics of human and the process of information transmis- sion,in order to provide a reference for information visualization of visual interface design through analysis of the ergonomics theory and calculating of the parameter including the text, colors, icons, etc, in the design of visual interface for information visualization. Methods on the relationships among view angle, sight dis- tance and visual interface through the experiment and theoretical analysis are based on the ergonomics of in- formation carrier interface about the interface size, text size and the icon size in the visual interface. There is a direct relationship among the interface information carder size, character height, size of the graph and the users' view angle as well as sight distance. The best view angle range is 30°in the cone of vision. The best brightness contrast of color interface is 6:1 and 15: 1. The optimal number of colors is 1 to 4 ,but not more than 7. A better calculation of every functional size in the visual interface will be acquired and the purpose of information visualization can be achieved through theoretical models and formulas established by analyzing the visual interface.
作者 马广韬 刘涛
出处 《沈阳建筑大学学报(自然科学版)》 CAS 北大核心 2013年第3期566-570,共5页 Journal of Shenyang Jianzhu University:Natural Science
基金 国家自然科学基金项目(50909068) 辽宁省教育厅科学技术研究项目(L2011090)
关键词 视觉特性 信息可视化 人机工程学 视觉界面 visual characteristics information visualization ergonomic visual interface
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参考文献14

  • 1Sigmar-Olaf T. Knowledge and information visual- ization [ M ]. Beijing: Yanshan Publishing House, 2005.
  • 2Spence R. Information visualization: interaction de- sign [ M ]. London: Prentice Hall,2007.
  • 3周宁,程红莉,吴佳鑫.信息可视化的发展趋势研究[J].图书情报工作,2008,52(8):35-38. 被引量:24
  • 4王学义,张伟,马维宁.信息可视化中色彩的应用研究[J].科技情报开发与经济,2008,18(26):119-121. 被引量:4
  • 5Bederson B B, Shneiderman B. The craft of informa- tion visualization reading and reflections [M ]. San Francisco: Morgan Kaufmann Publishers ,2003.
  • 6Nathan Y. Visualize this:the flowing data guide to design, visualization, and statistics [ M ]. Leipzig: John Wiley & Sons Ltd,2011.
  • 7Cooper A,Reimann R, Cronin D. About face 3:the essentials of interaction design [ M ]. Beijing: Elec- tronic Industry Press,2008.
  • 8AIGA. Fresh Dialogue Nine:Graphic Data Revealed [ C ]. New York: Princeton Architectural Press, 2009.
  • 9马广韬,程康丽,佟怡伶.沈阳铁路客运站导向标志静态研究[J].沈阳建筑大学学报(自然科学版),2012,28(4):753-758. 被引量:6
  • 10Klanten R, Bourquin N. Data flow 2-visualizing in- formation in graphic design [ M ]. Berlin:Die Gestalt- en Verlag,2010.

二级参考文献31

  • 1马广韬,代琦.基于人机工程学的汽车式起重机操纵室视野研究[J].沈阳建筑大学学报(自然科学版),2011,27(2):367-371. 被引量:12
  • 2刘中艳,王捷二,李晓鸿(英文译校).略论现代旅游饭店的色彩设计原则[J].株洲师范高等专科学校学报,2007,12(1):98-100. 被引量:2
  • 3Chen Chaomei. Top 10 unsolved information visualization problems. IEEE Computer Graphics and Applications. 2005, 25(4):12-16.
  • 4Chen Chaomei. Information visualization: Beyond the horizon.New York: Springer, 2004:274.
  • 5Havre S, Hetzler E, Whitney P, et al. ThemeRiver: visualizing thematic changes in large document collections. IEEE Transactions on Visualization and Computer Graphics. 2002, 8(1):9-20.
  • 6Chi E H. Improving Web usability through visualization. Internet Computing. 2002,6(2):64-71.
  • 7Chen Chaomei. Searching for intellectual turning points: Progressive knowledge domain visualization. [2008401-30]. www.pnas.org_cgi_doi_ 10.1073_pnas.0307513100.
  • 8Iwata T, Saito K.Visualization of anomalies using mixture models. Journal of Intelligent Manufacturing, 2005,16(6):635-643.
  • 9Wong C, Thomas J. Visual analytics. IEEE Computer Graphics and Applications,2004. [2007-10-21].http://infoviz.pnl.gov/ pdf/visualAnalytics.pdf.
  • 10Hascoet-Zizi M, Ahlberg C, Korfhage R, et al. Where is Information Visualization Technology going? // ACM.Proceedings of the 9th annual ACM symposium on User interface software and technology. Seattle: ACM press, 1996: 75-77.

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