Design considerations for collaborative visual analytics

被引:132
|
作者
Heer, Jeffrey [1 ]
Agrawala, Maneesh [1 ]
机构
[1] Univ Calif Berkeley, Div Comp Sci, Dept EECS, Berkeley, CA 94720 USA
关键词
Visualization; visual analytics; sensemaking; social data analysis; collaboration;
D O I
10.1057/palgrave.ivs.9500167
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Visualizations leverage the human visual system to support the process of sensemaking, in which information is collected, organized, and analyzed to generate knowledge and inform action. Although most research to date assumes a single-user focus on perceptual and cognitive processes, in practice, sensemaking is often a social process involving parallelization of effort, discussion, and consensus building. Thus, to fully support sensemaking, interactive visualization should also support social interaction. However, the most appropriate collaboration mechanisms for supporting this interaction are not immediately clear. In this article, we present design considerations for asynchronous collaboration in visual analysis environments, highlighting issues of work parallelization, communication, and social organization. These considerations provide a guide for the design and evaluation of collaborative visualization systems. Information Visualization (2008) 7, 49-62. doi: 10.1057/palgrave.ivs.9500167
引用
收藏
页码:49 / 62
页数:14
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