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  4. Supporting collaborative political decision making. An interactive policy process visualization system
 
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2016
Conference Paper
Title

Supporting collaborative political decision making. An interactive policy process visualization system

Abstract
The process of political decision making is often complex and tedious. The policy process consists of multiple steps, most of them are highly iterative. In addition, different stakeholder groups are involved in political decision making and contribute to the process. A series of textual documents accompanies the process. Examples are official documents, discussions, scientific reports, external reviews, newspaper articles, or economic white papers. Experts from the political domain report that this plethora of textual documents often exceeds their ability to keep track of the entire policy process. We present PolicyLine, a visualization system that supports different stakeholder groups in overview-and-detail tasks for large sets of textual documents in the political decision making process. In a longitudinal design study conducted together with domain experts in political decision making, we identified missing analytical functionality on the basis of a problem and domain characterization. In an iterative design phase, we created PolicyLine in close collaboration with the domain experts. Finally, we present the results of three evaluation rounds, and reflect on our collaborative visualization system.
Author(s)
Ruppert, Tobias
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Bannach, Andreas
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Bernard, Jürgen
TU Darmstadt GRIS
Lücke-Tieke, Hendrik  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Ulmer, Alex  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kohlhammer, Jörn  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
9th International Symposium on Visual Information Communication and Interaction, VINCI 2016. Proceedings  
Conference
International Symposium on Visual Information Communication and Interaction (VINCI) 2016  
DOI
10.1145/2968220.2968223
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Lead Topic: Smart City

  • Research Line: Human computer interaction (HCI)

  • Forschungsgruppe Semantic Models, Immersive Systems (SMIS)

  • information visualization

  • timeline visualization

  • policy modeling

  • collaborative application

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