Visual Presentation: Difference between revisions
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{{Quotation|For presentation purposes, the facts to be presented are fixed a priori, and the choice of the appropriate presentation technique depends largely on the user. The aim is to efficiently and effectively communicate the results of an analysis.|[Keim et al., 2006]}} | {{Quotation|For presentation purposes, the facts to be presented are fixed a priori, and the choice of the appropriate presentation technique depends largely on the user. The aim is to efficiently and effectively communicate the results of an analysis.|[Keim et al., 2006]}} | ||
'''Main characteristics''' | |||
* main purpose: communication | |||
* The information to be communicated is clear/defined upfront | |||
* goal is clear | |||
* developer/designer knows what is important | |||
* user not actively involved | |||
* highly specialized | |||
* little interaction | |||
* user: inform | |||
see also: [[Visual Exploration]], [[Visual Analysis]]. | see also: [[Visual Exploration]], [[Visual Analysis]]. | ||
Latest revision as of 17:09, 2 March 2011
Visual presentation aims for communicating and sharing information in a dataset visually to others (e.g., experts for detailed analysis). The visual presentation must emphasize the relevant information among the rest of the data. This is of particular importance since presentations are often realized on print media, which allow for no or only little interaction.
For presentation purposes, the facts to be presented are fixed a priori, and the choice of the appropriate presentation technique depends largely on the user. The aim is to efficiently and effectively communicate the results of an analysis.
[Keim et al., 2006]
Main characteristics
- main purpose: communication
- The information to be communicated is clear/defined upfront
- goal is clear
- developer/designer knows what is important
- user not actively involved
- highly specialized
- little interaction
- user: inform
see also: Visual Exploration, Visual Analysis.
References
- [Keim et al., 2006] Keim, D.A.; Mansmann, F. and Schneidewind, J. and Ziegler, H., Challenges in Visual Data Analysis, Proceedings of Information Visualization (IV 2006), IEEE, p. 9-16, 2006.
- [Tominski, 2006] Christian Tominski, Event-Based Visualization for User-Centered Visual Analysis, PhD Thesis, Institute for Computer Science, Department of Computer Science and Electrical Engineering, University of Rostock, forthcoming 2006.