Nazemi, Kawa ; Retz, Reimond ; Bernard, Jürgen ; Kohlhammer, Jörn ; Fellner, Dieter W. (2013):
Adaptive Semantic Visualization for Bibliographic Entries.
In: Lecture Notes in Computer Science (LNCS); 8034, pp. 13-24, Springer, Berlin, Heidelberg, New York, Advances in Visual Computing. 9th International Symposium, ISVC 2013, DOI: 10.1007/978-3-642-41939-3₂,
[Conference or Workshop Item]
Abstract
Adaptive visualizations aim to reduce the complexity of visual representations and convey information using interactive visualizations. Although the research on adaptive visualizations grew in the last years, the existing approaches do not make use of the variety of adaptable visual variables. Further the existing approaches often premises experts, who has to model the initial visualization design. In addition, current approaches either incorporate user behavior or data types. A combination of both is not proposed to our knowledge. This paper introduces the instantiation of our previously proposed model that combines both: involving different influencing factors for and adapting various levels of visual peculiarities, on visual layout and visual presentation in a multiple visualization environment. Based on data type and users' behavior, our system adapts a set of applicable visualization types. Moreover, retinal variables of each visualization type are adapted to meet individual or canonic requirements on both, data types and users' behavior. Our system does not require an initial expert modeling.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2013 |
| Creators: | Nazemi, Kawa ; Retz, Reimond ; Bernard, Jürgen ; Kohlhammer, Jörn ; Fellner, Dieter W. |
| Title: | Adaptive Semantic Visualization for Bibliographic Entries |
| Language: | English |
| Abstract: | Adaptive visualizations aim to reduce the complexity of visual representations and convey information using interactive visualizations. Although the research on adaptive visualizations grew in the last years, the existing approaches do not make use of the variety of adaptable visual variables. Further the existing approaches often premises experts, who has to model the initial visualization design. In addition, current approaches either incorporate user behavior or data types. A combination of both is not proposed to our knowledge. This paper introduces the instantiation of our previously proposed model that combines both: involving different influencing factors for and adapting various levels of visual peculiarities, on visual layout and visual presentation in a multiple visualization environment. Based on data type and users' behavior, our system adapts a set of applicable visualization types. Moreover, retinal variables of each visualization type are adapted to meet individual or canonic requirements on both, data types and users' behavior. Our system does not require an initial expert modeling. |
| Series Name: | Lecture Notes in Computer Science (LNCS); 8034 |
| Publisher: | Springer, Berlin, Heidelberg, New York |
| Uncontrolled Keywords: | Business Field: Visual decision support, Information visualization, Adaptive visualization, Digital libraries, Semantics visualization, User modeling, Semantics generation |
| 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: | 10.1007/978-3-642-41939-3₂ |
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