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Visual Statistics Cockpits for Information Gathering in the Policy-Making Process

Burkhardt, Dirk and Nazemi, Kawa and Stab, Christian and Steiger, Martin and Kuijper, Arjan and Kohlhammer, Jörn (2013):
Visual Statistics Cockpits for Information Gathering in the Policy-Making Process.
Springer, Berlin, Heidelberg, New York, In: Advances in Visual Computing. 9th International Symposium, ISVC 2013, In: Lecture Notes in Computer Science (LNCS); 8034, DOI: 10.1007/978-3-642-41939-3₉,
[Conference or Workshop Item]

Abstract

A major step in ICT-driven policy making is information gathering. During this phase, analysts and experts have to deal with a high number of statistical data which they use as a basis to identify problems and find appropriate solutions. This paper introduces a statistical data model to support these analysts and experts. It allows for handling the complexity (i.e. the dimensions) of the data for the visualizations. In particular, it helps to use the same data for two-dimensional, but also multi-dimensional statistics visualizations. Based on this statistic data model we introduce an interactive approach of visual statistics cockpits. This results in highly interactive statistics visualization cockpits that enable both analysts and experts to improve problem assessment and solution finding.

Item Type: Conference or Workshop Item
Erschienen: 2013
Creators: Burkhardt, Dirk and Nazemi, Kawa and Stab, Christian and Steiger, Martin and Kuijper, Arjan and Kohlhammer, Jörn
Title: Visual Statistics Cockpits for Information Gathering in the Policy-Making Process
Language: English
Abstract:

A major step in ICT-driven policy making is information gathering. During this phase, analysts and experts have to deal with a high number of statistical data which they use as a basis to identify problems and find appropriate solutions. This paper introduces a statistical data model to support these analysts and experts. It allows for handling the complexity (i.e. the dimensions) of the data for the visualizations. In particular, it helps to use the same data for two-dimensional, but also multi-dimensional statistics visualizations. Based on this statistic data model we introduce an interactive approach of visual statistics cockpits. This results in highly interactive statistics visualization cockpits that enable both analysts and experts to improve problem assessment and solution finding.

Series Name: Lecture Notes in Computer Science (LNCS); 8034
Publisher: Springer, Berlin, Heidelberg, New York
Uncontrolled Keywords: Adaptive visualization, Information visualization, User-centered interaction, Process-driven visualization
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Advances in Visual Computing. 9th International Symposium, ISVC 2013
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1007/978-3-642-41939-3₉
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