2016 |
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5. | ![]() | Nazemi, Kawa; Steiger, Martin; Burkhardt, Dirk; Kohlhammer, Jörn Information Visualization and Policy Modeling Book Chapter In: Big Data: Concepts, Methodologies, Tools, and Applications, Chapter 8, pp. 139-180, IGI Global, Hershey, PA, USA, 2016, ISBN: 9781466698406. Abstract | Links | BibTeX | Tags: Adaptation, Adaptive Visualization, Information Visualization, Semantics, Semantics Visualization, SemaVis, Visual Analytics @inbook{Nazemi2016, Policy design requires the investigation of various data in several design steps for making the right decisions, validating, or monitoring the political environment. The increasing amount of data is challenging for the stakeholders in this domain. One promising way to access the “big data” is by abstracted visual patterns and pictures, as proposed by information visualization. This chapter introduces the main idea of information visualization in policy modeling. First abstracted steps of policy design are introduced that enable the identification of information visualization in the entire policy life-cycle. Thereafter, the foundations of information visualization are introduced based on an established reference model. The authors aim to amplify the incorporation of information visualization in the entire policy design process. Therefore, the aspects of data and human interaction are introduced, too. The foundation leads to description of a conceptual design for social data visualization, and the aspect of semantics plays an important role. |
2014 |
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4. | ![]() | Nazemi, Kawa; Steiger, Martin; Burkhardt, Dirk; Kohlhammer, Jörn Information Visualization and Policy Modeling Book Chapter In: Sonntagbauer, Peter; Nazemi, Kawa; Sonntagbauer, Susanne; Prister, Giorgio; Burkhardt, Dirk (Ed.): Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling, Chapter 11, pp. 175–215, IGI Global, Hershey, PA, USA, 2014, ISBN: 9781466662360. Abstract | Links | BibTeX | Tags: Adaptation, Adaptive Visualization, Information Visualization, Semantics, Semantics Visualization, SemaVis, Visual Analytics @inbook{Nazemi2014c, Policy design requires the investigation of various data in several design steps for making the right decisions, validating, or monitoring the political environment. The increasing amount of data is challenging for the stakeholders in this domain. One promising way to access the “big data” is by abstracted visual patterns and pictures, as proposed by information visualization. This chapter introduces the main idea of information visualization in policy modeling. First abstracted steps of policy design are introduced that enable the identification of information visualization in the entire policy life-cycle. Thereafter, the foundations of information visualization are introduced based on an established reference model. The authors aim to amplify the incorporation of information visualization in the entire policy design process. Therefore, the aspects of data and human interaction are introduced, too. The foundation leads to description of a conceptual design for social data visualization, and the aspect of semantics plays an important role. |
2012 |
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3. | ![]() | Burkhardt, Dirk; Stab, Christian; Steiger, Martin; Breyer, Matthias; Nazemi, Kawa Interactive Exploration System: A User-Centered Interaction Approach in Semantics Visualizations Proceedings Article In: Kuijper, Arjan; Sourin, Alexei (Ed.): Proceedings of the 2012 International Conference on Cyberworlds (Cyberworlds 2012), pp. 261–267, IEEE, Piscataway, NJ, USA, 2012, ISBN: 978-0-7695-4814-2. Abstract | Links | BibTeX | Tags: Multimodal Interaction, Semantic Web, Semantics Visualization, User-Centered Systems @inproceedings{Burkhardt2012, Nowadays a wide range of input devices are available to users of technical systems. Especially modern alternative interaction devices, which are known from game consoles etc., provide a more natural way of interaction. In parallel to that the research on visualization of large amount of data advances very quickly. This research was also influenced by the semantic web and the idea of storing data in a structured and linked form. The semantically annotated data gains more and more importance in information acquisition processes. Especially the Linked Open Data (LOD) format already experienced a huge growth. However, the user-interfaces of web-applications mostly do not reflect the added value of semantics data. This paper describes the conceptual design and implementation of an Interactive Exploration System that offers a user-centered graphical environment of web-based knowledge repositories, to support and optimize explorative learning, and the integration of a taxonomy-based approach to enable the use of more natural interaction metaphors, as they are possible with modern devices like Wii Mote or Microsoft Kinect. Therefore we introduce a different classification for interaction devices, and current approaches for supporting the added values in semantics visualizations. Furthermore, we describe the concept of our IES, including a strategy to organize and structure today's existing input devices, and a semantics exploration system driven by user-experience. We conclude the paper with a description of the implementation of the IES and an application scenario. |
2011 |
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2. | ![]() | Nazemi, Kawa; Burkhardt, Dirk; Praetorius, Alexander; Breyer, Matthias; Kuijper, Arjan Adapting User Interfaces by Analyzing Data Characteristics for Determining Adequate Visualizations Proceedings Article In: Kurosu, Masaaki (Ed.): Human Centered Design, pp. 566–575, Springer, Berlin, Heidelberg, Germany, 2011, ISBN: 978-3-642-21753-1. Abstract | Links | BibTeX | Tags: Adaptive Visualization, Human-Centered Interfaces, Human-Computer-Interfaces, Semantics Visualization @inproceedings{Nazemi2011d, Today the information visualization takes in an important position, because it is required in nearly every context where large databases have to be visualized. For this challenge new approaches are needed to allow the user an adequate access to these data. Static visualizations are only able to show the data without any support to the users, which is the reason for the accomplished researches to adaptive user-interfaces, in particular for adaptive visualizations. By these approaches the visualizations were adapted to the users' behavior, so that graphical primitives were change to support a user e.g. by highlighting user-specific entities, which seems relevant for a user. This approach is commonly used, but it is limited on changes for just a single visualization. Modern heterogeneous data providing different kinds of aspects, which modern visualizations try to regard, but therefore a user often needs more than a single visualization for making an information retrieval. In this paper we describe a concept for adapting the user-interface by selecting visualizations in dependence to automatically generated data characteristics. So visualizations will be chosen, which are fitting well to the generated characteristics. Finally the user gets an aquatically arranged set of visualizations as initial point of his interaction through the data. |
1. | ![]() | Burkhardt, Dirk; Nazemi, Kawa; Breyer, Matthias; Stab, Christian; Kuijper, Arjan SemaZoom: Semantics Exploration by Using a Layer-Based Focus and Context Metaphor Proceedings Article In: Kurosu, Masaaki (Ed.): Human Centered Design, pp. 491–499, Springer, Berlin, Heidelberg, Germany, 2011, ISBN: 978-3-642-21753-1. Abstract | Links | BibTeX | Tags: Human-Computer-Interfaces, Information Visualization, Semantic Web, Semantics Visualization @inproceedings{Burkhardt2011b, The Semantic Web is a powerful technology for organizing the data in our information based society. The collection and organization of information is an important step for showing important information to interested people. But the usage of such semantic-based data sources depends on effective and efficient information visualizations. Currently different kinds of visualizations in general and visualization metaphors do exist. Many of them are also applied for semantic data source, but often they are designed for semantic web experts and neglecting the normal user and his perception of an easy useable visualization. This kind of user needs less information, but rather a reduced qualitative view on the data. These two aspects of large amount of existing data and one for normal users easy to understand visualization is often not reconcilable. In this paper we create a concept for a visualization to show a bigger set of information to such normal users without overstraining them, because of layer-based data visualization, next to an integration of a Focus and Context metaphor. |
2016 |
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5. | ![]() | Information Visualization and Policy Modeling Book Chapter In: Big Data: Concepts, Methodologies, Tools, and Applications, Chapter 8, pp. 139-180, IGI Global, Hershey, PA, USA, 2016, ISBN: 9781466698406. |
2014 |
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4. | ![]() | Information Visualization and Policy Modeling Book Chapter In: Sonntagbauer, Peter; Nazemi, Kawa; Sonntagbauer, Susanne; Prister, Giorgio; Burkhardt, Dirk (Ed.): Handbook of Research on Advanced ICT Integration for Governance and Policy Modeling, Chapter 11, pp. 175–215, IGI Global, Hershey, PA, USA, 2014, ISBN: 9781466662360. |
2012 |
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3. | ![]() | Interactive Exploration System: A User-Centered Interaction Approach in Semantics Visualizations Proceedings Article In: Kuijper, Arjan; Sourin, Alexei (Ed.): Proceedings of the 2012 International Conference on Cyberworlds (Cyberworlds 2012), pp. 261–267, IEEE, Piscataway, NJ, USA, 2012, ISBN: 978-0-7695-4814-2. |
2011 |
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2. | ![]() | Adapting User Interfaces by Analyzing Data Characteristics for Determining Adequate Visualizations Proceedings Article In: Kurosu, Masaaki (Ed.): Human Centered Design, pp. 566–575, Springer, Berlin, Heidelberg, Germany, 2011, ISBN: 978-3-642-21753-1. |
1. | ![]() | SemaZoom: Semantics Exploration by Using a Layer-Based Focus and Context Metaphor Proceedings Article In: Kurosu, Masaaki (Ed.): Human Centered Design, pp. 491–499, Springer, Berlin, Heidelberg, Germany, 2011, ISBN: 978-3-642-21753-1. |