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Combining Computational Models and Interactive Visualization to Support Rational Decision Making

Ruppert, Tobias and Bernard, Jürgen and May, Thorsten and Kohlhammer, Jörn (2014):
Combining Computational Models and Interactive Visualization to Support Rational Decision Making.
Springer, Berlin, Heidelberg, New York, In: Advances in Visual Computing. 10th International Symposium, ISVC 2014, In: Lecture Notes in Computer Science (LNCS); 8887, DOI: 10.1007/978-3-319-14249-4₃₃,
[Conference or Workshop Item]

Abstract

Decision making is a complex process consisting of several consecutive steps. Before converting a decision into effective action the problem to be tackled needs to be analyzed, alternative solutions need to be developed, and the best solution needs to be picked. In many cases computational models support decision makers in this process. Therefore, providing an intuitive access to these model-driven techniques is crucial. In this approach, we introduce a decision support system that provides visual-interactive access to three computational models - a simulation model, an optimization model, and an opinion mining model - covering different aspects of decision making. For each model our decision support system realizes the visual access to the model, an in-depth analysis of the generated solutions, and the comparison of alternative solutions. Finally, we evaluate the usefulness and the usability of our system in a use case in the field of public policy making.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Ruppert, Tobias and Bernard, Jürgen and May, Thorsten and Kohlhammer, Jörn
Title: Combining Computational Models and Interactive Visualization to Support Rational Decision Making
Language: English
Abstract:

Decision making is a complex process consisting of several consecutive steps. Before converting a decision into effective action the problem to be tackled needs to be analyzed, alternative solutions need to be developed, and the best solution needs to be picked. In many cases computational models support decision makers in this process. Therefore, providing an intuitive access to these model-driven techniques is crucial. In this approach, we introduce a decision support system that provides visual-interactive access to three computational models - a simulation model, an optimization model, and an opinion mining model - covering different aspects of decision making. For each model our decision support system realizes the visual access to the model, an in-depth analysis of the generated solutions, and the comparison of alternative solutions. Finally, we evaluate the usefulness and the usability of our system in a use case in the field of public policy making.

Series Name: Lecture Notes in Computer Science (LNCS); 8887
Publisher: Springer, Berlin, Heidelberg, New York
Uncontrolled Keywords: Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Visual analytics, Information visualization, Decision support, Policy modeling
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Advances in Visual Computing. 10th International Symposium, ISVC 2014
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1007/978-3-319-14249-4₃₃
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