1. Proceedings
  2. I3M
  3. 2018
  4. VARE
  5. 10.46354/i3m.2018.vare.022

Juxtaposing visual layouts – an approach for solving analytical and exploratory tasks through arranging visual interfaces

  • a Kawa Nazemi  
  • bDirk Burkhardt  
  • abDarmstadt University of Applied Sciences Haardtring 100, 64295 Darmstadt, Germany
Cite as
K. Nazemi, D. Burkhardt (2018). Juxtaposing visual layouts – an approach for solving analytical and exploratory
tasks through arranging visual interfaces. Proceedings of the 4th International Conference of The Virtual And Augmented Reality In Education (VARE 2018), pp. 144-153. DOI: https://doi.org/10.46354/i3m.2018.vare.022

Abstract

Interactive visualization and visual analytics systems enables solving a variety of tasks. Starting with simple search tasks for outliers, anomalies etc. in data to analytical comparisons, information visualizations may lead to a faster and more precise solving of tasks. There exist a variety of methods to support users in the process of task solving, e.g. superimposing, juxtaposing or partitioning complex visual structures. Commonly all these methods make use of a single data source that is visualized at the same time. We propose in this paper an approach that goes beyond the established methods and enables visualizing different databases, data-sets and sub-sets of data with juxtaposed visual interfaces. Our approach should be seen as an expandable method. Our main contributions are an in-depth analysis of visual task models and an approach for juxtaposing visual layouts as visual interfaces to enable solving complex tasks

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