摘要
信息可视化作为对巨量电子类信息资源集合进行处理与分析的技术与方法,在互联网与信息技术的推动下得到了迅速地发展。一般来说,可视化视图的导航与交互策略是对该视图进行分析的途径,但是在利用信息可视化技术辅助进行情报分析时,人的参与是不可或缺、至为重要的组成部分。文章在考察人的认知行为的基础上,分析并总结出人对于信息可视化视图的七种特征认知模式,目的是为信息可视化技术辅助情报分析提供可以参考的规律与经验。
As the technology using for analyzing ＆ processing jillion electronic information resources, information visualization is developing rapidly driven by the intemet and information technology. In a general way, the main approaches analyzing the visualization viewgraph are navigation ＆ interaction strategies, but in the process of using information visualization technology aided intelligence analysis, people, as the participant, is the key part that cannot be missed. Based on the review of people＇ s perception behavior, we analyzed and summarized seven feature perception modes of information visualization viewgraph; the intention is to offer experience ＆ rules which can aid intelligence analysis using information vislualizafion.
出处
《情报科学》
CSSCI
北大核心
2008年第7期1076-1080,共5页
Information Science
关键词
信息可视化
视图特征
认知模式
情报分析
information visualization
viewgraph feature
perception mode
intelligence analysis
