Conference paper Open Access

# JUXTAPOSING VISUAL LAYOUTS – AN APPROACH FOR SOLVING ANALYTICAL AND EXPLORATORY TASKS THROUGH ARRANGING VISUAL INTERFACES

Kawa Nazemi; Dirk Burkhardt

### Citation Style Language JSON Export

{
"publisher": "Zenodo",
"DOI": "10.5281/zenodo.2542952",
"language": "eng",
"title": "JUXTAPOSING VISUAL LAYOUTS \u2013 AN APPROACH FOR SOLVING ANALYTICAL AND EXPLORATORY TASKS THROUGH ARRANGING VISUAL INTERFACES",
"issued": {
"date-parts": [
[
2018,
9,
17
]
]
},
"abstract": "<p>Interactive visualization and visual analytics systems enables solving a variety of tasks. Starting with simple<br>\nsearch tasks for outliers, anomalies etc. in data to analytical comparisons, information visualizations may<br>\nlead to a faster and more precise solving of tasks. There exist a variety of methods to support users in the process<br>\nof task solving, e.g. superimposing, juxtaposing or partitioning complex visual structures. Commonly all<br>\nthese methods make use of a single data source that is visualized at the same time. We propose in this paper an<br>\napproach that goes beyond the established methods and enables visualizing different databases, data-sets and<br>\nsub-sets of data with juxtaposed visual interfaces. Our approach should be seen as an expandable method. Our<br>\nmain contributions are an in-depth analysis of visual task models and an approach for juxtaposing visual layouts as<br>\nvisual interfaces to enable solving complex tasks.</p>",
"author": [
{
"family": "Kawa Nazemi"
},
{
"family": "Dirk Burkhardt"
}
],
"id": "2542952",
"version": "1",
"type": "paper-conference",
"event": "International Conference of the Virtual and Augmented Reality in Education (VARE)"
}
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