Search (20 results, page 1 of 1)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Visualisierung"
  1. Oh, K.E.; Halpern, D.; Tremaine, M.; Chiang, J.; Silver, D.; Bemis, K.: Blocked: when the information is hidden by the visualization (2016) 0.06
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    Abstract
    This study investigated how people comprehend three-dimensional (3D) visualizations and what properties of such visualizations affect comprehension. Participants were asked to draw the face of a 3D visualization after it was cut in half. We videotaped the participants as they drew, erased, verbalized their thoughts, gestured, and moved about a two-dimensional paper presentation of the 3D visualization. The videorecords were analyzed using a grounded theory approach to generate hypotheses related to comprehension difficulties and visualization properties. Our analysis of the results uncovered three properties that made problem solving more difficult for participants. These were: (a) cuts that were at an angle in relation to at least one plane of reference, (b) nonplanar properties of the features contained in the 3D visualizations including curved layers and v-shaped layers, and (c) mixed combinations of layers. In contrast, (a) cutting planes that were perpendicular or parallel to the 3D visualization diagram's planes of reference, (b) internal features that were flat/planar, and (c) homogeneous layers were easier to comprehend. This research has direct implications for the generation and use of 3D information visualizations in that it suggests design features to include and avoid.
  2. Brockelmann, M.; Wolff, C.: 3D-Visualisierungen : Potenziale in Forschung und Lehre im Kontext von Informationswissenschaft und Medieninformatik (2013) 0.04
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    Abstract
    Dieser Artikel beschäftigt sich mit den Möglichkeiten der Informationsaufbereitung durch computergenerierte dreidimensionale Elemente. Visualisierungen durch 3DGrafiken und Animationen können im Vergleich zum Informationsgehalt andersartiger Darstellungen einen kommunikativen Mehrwert aufweisen, der den höheren Aufwand der Erzeugung rechtfertigt. Es wird die Frage aufgeworfen, in welchen Forschungsgebieten der Informationswissenschaft und Medieninformatik der Einsatz von räumlichen Repräsentationen angebracht ist und inwieweit sich die Fokussierung auf eine Informationsübermittlung durch eine virtuelle 3D-Umgebung mit den gesteigerten Anforderungen an das Kommunikationssystem in Einklang bringen lässt. Durch die menschliche Ausrichtung auf möglichst natürliche und realistische Erscheinungen bei der Informationsaufnahme ist die Verwendung der dritten Dimension im Kommunikationsprozess ausgenommen hilfreich, es bedarf zuvor allerdings einer Konzeption geeigneter Einsatzprinzipien, die der großflächigen Anwendung im Bedarfsfall gerecht werden.
    Content
    Vgl.: http://www.degruyter.com/view/j/iwp.2013.64.issue-4/wp-2013-0031/wp-2013-0031.xml?format=INT.
  3. Platis, N. et al.: Visualization of uncertainty in tag clouds (2016) 0.03
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    Date
    1. 2.2016 18:25:22
    Source
    Semantic keyword-based search on structured data sources: First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers. Eds.: J. Cardoso et al
  4. Saß, J.: Bestandsvisualisierung in Bibliotheken (2015) 0.02
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  5. Osinska, V.; Bala, P.: New methods for visualization and improvement of classification schemes : the case of computer science (2010) 0.02
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    Abstract
    Generally, Computer Science (CS) classifications are inconsistent in taxonomy strategies. t is necessary to develop CS taxonomy research to combine its historical perspective, its current knowledge and its predicted future trends - including all breakthroughs in information and communication technology. In this paper we have analyzed the ACM Computing Classification System (CCS) by means of visualization maps. The important achievement of current work is an effective visualization of classified documents from the ACM Digital Library. From the technical point of view, the innovation lies in the parallel use of analysis units: (sub)classes and keywords as well as a spherical 3D information surface. We have compared both the thematic and semantic maps of classified documents and results presented in Table 1. Furthermore, the proposed new method is used for content-related evaluation of the original scheme. Summing up: we improved an original ACM classification in the Computer Science domain by means of visualization.
    Date
    22. 7.2010 19:36:46
  6. Nehmadi, L.; Meyer, J.; Parmet, Y.; Ben-Asher, N.: Predicting a screen area's perceived importance from spatial and physical attributes (2011) 0.01
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  7. Xiaoyue M.; Cahier, J.-P.: Iconic categorization with knowledge-based "icon systems" can improve collaborative KM (2011) 0.01
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  8. Zhang, J.; Zhao, Y.: ¬A user term visualization analysis based on a social question and answer log (2013) 0.01
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  9. Ahn, J.-w.; Brusilovsky, P.: Adaptive visualization for exploratory information retrieval (2013) 0.01
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  10. Cao, N.; Sun, J.; Lin, Y.-R.; Gotz, D.; Liu, S.; Qu, H.: FacetAtlas : Multifaceted visualization for rich text corpora (2010) 0.01
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  11. Yan, B.; Luo, J.: Filtering patent maps for visualization of diversification paths of inventors and organizations (2017) 0.01
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  12. Zhang, Y.; Zhang, G.; Zhu, D.; Lu, J.: Scientific evolutionary pathways : identifying and visualizing relationships for scientific topics (2017) 0.01
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  13. Huang, S.-C.; Bias, R.G.; Schnyer, D.: How are icons processed by the brain? : Neuroimaging measures of four types of visual stimuli used in information systems (2015) 0.01
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  14. Börner, K.: Atlas of knowledge : anyone can map (2015) 0.00
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    Date
    22. 1.2017 16:54:03
    22. 1.2017 17:10:56
  15. Jäger-Dengler-Harles, I.: Informationsvisualisierung und Retrieval im Fokus der Infromationspraxis (2013) 0.00
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  16. Wu, K.-C.; Hsieh, T.-Y.: Affective choosing of clustering and categorization representations in e-book interfaces (2016) 0.00
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  17. Wu, I.-C.; Vakkari, P.: Effects of subject-oriented visualization tools on search by novices and intermediates (2018) 0.00
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  18. Osinska, V.; Kowalska, M.; Osinski, Z.: ¬The role of visualization in the shaping and exploration of the individual information space : part 1 (2018) 0.00
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  19. Batorowska, H.; Kaminska-Czubala, B.: Information retrieval support : visualisation of the information space of a document (2014) 0.00
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    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  20. Graphic details : a scientific study of the importance of diagrams to science (2016) 0.00
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    Content
    As the team describe in a paper posted (http://arxiv.org/abs/1605.04951) on arXiv, they found that figures did indeed matter-but not all in the same way. An average paper in PubMed Central has about one diagram for every three pages and gets 1.67 citations. Papers with more diagrams per page and, to a lesser extent, plots per page tended to be more influential (on average, a paper accrued two more citations for every extra diagram per page, and one more for every extra plot per page). By contrast, including photographs and equations seemed to decrease the chances of a paper being cited by others. That agrees with a study from 2012, whose authors counted (by hand) the number of mathematical expressions in over 600 biology papers and found that each additional equation per page reduced the number of citations a paper received by 22%. This does not mean that researchers should rush to include more diagrams in their next paper. Dr Howe has not shown what is behind the effect, which may merely be one of correlation, rather than causation. It could, for example, be that papers with lots of diagrams tend to be those that illustrate new concepts, and thus start a whole new field of inquiry. Such papers will certainly be cited a lot. On the other hand, the presence of equations really might reduce citations. Biologists (as are most of those who write and read the papers in PubMed Central) are notoriously mathsaverse. If that is the case, looking in a physics archive would probably produce a different result.