A Design Space of Visualization Tasks

被引:128
作者
Schulz, Hans-Joerg [1 ]
Nocke, Thomas [2 ]
Heitzler, Magnus [2 ]
Schumann, Heidrun [1 ]
机构
[1] Univ Rostock, D-18055 Rostock, Germany
[2] Potsdam Inst Climate Impact Res, Potsdam, Germany
关键词
Task taxonomy; design space; climate impact research; visualization recommendation;
D O I
10.1109/TVCG.2013.120
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Knowledge about visualization tasks plays an important role in choosing or building suitable visual representations to pursue them. Yet, tasks are a multi-faceted concept and it is thus not surprising that the many existing task taxonomies and models all describe different aspects of tasks, depending on what these task descriptions aim to capture. This results in a clear need to bring these different aspects together under the common hood of a general design space of visualization tasks, which we propose in this paper. Our design space consists of five design dimensions that characterize the main aspects of tasks and that have so far been distributed across different task descriptions. We exemplify its concrete use by applying our design space in the domain of climate impact research. To this end, we propose interfaces to our design space for different user roles (developers, authors, and end users) that allow users of different levels of expertise to work with it.
引用
收藏
页码:2366 / 2375
页数:10
相关论文
共 64 条
[41]  
Paterno F., Mancini C., Meniconi S., ConcurTaskTrees: A diagrammatic notation for specifying task models, Proc. of INTERACT'97, pp. 362-369, (1997)
[42]  
Pfitzner D., Hobbs V., Powers D., A unified taxonomic framework for information visualization, Proc. of APVIS'03, pp. 57-66, (2003)
[43]  
Pirolli P., Card S., Sensemaking processes of intelligence analysts and possible leverage points as identified through cognitive task analysis, Proc. of IA'05. The MITRE Corporation, (2005)
[44]  
Robertson P.K., A methodology for scientific data visualisation: Choosing representations based on a natural scene paradigm, Proc. of IEEE Vis'90, pp. 114-123, (1990)
[45]  
Roth S.F., Mattis J., Data characterization for intelligent graphics presentation, Proc. of CHI'90, pp. 193-200, (1990)
[46]  
Schulz H.-J., Hadlak S., Schumann H., The design space of implicit hierarchy visualization: A survey, IEEE Transactions on Visualization and Computer Graphics, 17, 4, pp. 393-411, (2011)
[47]  
Shneiderman B., The eyes have it: A task by data type taxonomy for information visualizations, Proc. of IEEE VL'96, pp. 336-343, (1996)
[48]  
Shu G., Avis N.J., Rana O.F., Bringing semantics to visualization services, Advances in Engineering Software, 39, 6, pp. 514-520, (2008)
[49]  
Springmeyer R.R., Blattner M.M., Max N.L., A characterization of the scientific data analysis process, Proc. of IEEE Vis'92, pp. 235-242, (1992)
[50]  
Stary C., TADEUS: Seamless development of task-based and useroriented interfaces, IEEE Transactions on Systems, Man, and Cybernetics, Part A, 30, 5, pp. 509-525, (2000)