Search (24 results, page 1 of 2)

  • × theme_ss:"Visualisierung"
  • × year_i:[2010 TO 2020}
  1. Wu, K.-C.; Hsieh, T.-Y.: Affective choosing of clustering and categorization representations in e-book interfaces (2016) 0.03
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    Date
    20. 1.2015 18:30:22
  2. Wu, I.-C.; Vakkari, P.: Effects of subject-oriented visualization tools on search by novices and intermediates (2018) 0.03
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    Date
    9.12.2018 16:22:25
  3. Kocijan, K.: Visualizing natural language resources (2015) 0.02
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    Source
    Re:inventing information science in the networked society: Proceedings of the 14th International Symposium on Information Science, Zadar/Croatia, 19th-21st May 2015. Eds.: F. Pehar, C. Schloegl u. C. Wolff
  4. Platis, N. et al.: Visualization of uncertainty in tag clouds (2016) 0.02
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    Date
    1. 2.2016 18:25:22
  5. Reiterer, H.; Jetter, H.-C.: Informationsvisualisierung (2013) 0.01
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  6. Börner, K.: Atlas of knowledge : anyone can map (2015) 0.01
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    Date
    22. 1.2017 16:54:03
    22. 1.2017 17:10:56
  7. Julien, C.-A.; Tirilly, P.; Dinneen, J.D.; Guastavino, C.: Reducing subject tree browsing complexity (2013) 0.01
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  8. Oh, K.E.; Halpern, D.; Tremaine, M.; Chiang, J.; Silver, D.; Bemis, K.: Blocked: when the information is hidden by the visualization (2016) 0.01
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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.
  9. Hiniker, A.; Hong, S.R.; Kim, Y.-S.; Chen, N.-C.; West, J.D.; Aragon, C.: Toward the operationalization of visual metaphor (2017) 0.01
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  10. Osinska, V.; Bala, P.: New methods for visualization and improvement of classification schemes : the case of computer science (2010) 0.01
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    Date
    22. 7.2010 19:36:46
  11. Jäger-Dengler-Harles, I.: Informationsvisualisierung und Retrieval im Fokus der Infromationspraxis (2013) 0.01
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    Date
    4. 2.2015 9:22:39
  12. Brockelmann, M.; Wolff, C.: 3D-Visualisierungen : Potenziale in Forschung und Lehre im Kontext von Informationswissenschaft und Medieninformatik (2013) 0.01
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  13. Lamb, I.; Larson, C.: Shining a light on scientific data : building a data catalog to foster data sharing and reuse (2016) 0.01
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  14. Kraker, P.; Kittel, C,; Enkhbayar, A.: Open Knowledge Maps : creating a visual interface to the world's scientific knowledge based on natural language processing (2016) 0.01
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  15. Osinska, V.; Kowalska, M.; Osinski, Z.: ¬The role of visualization in the shaping and exploration of the individual information space : part 1 (2018) 0.01
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    Date
    21.12.2018 17:22:13
  16. Heuvel, C. van den; Salah, A.A.; Knowledge Space Lab: Visualizing universes of knowledge : design and visual analysis of the UDC (2011) 0.01
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  17. 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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  18. Chen, R.H.-G.; Chen, C.-M.: Visualizing the world's scientific publications (2016) 0.01
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  19. Aletras, N.; Baldwin, T.; Lau, J.H.; Stevenson, M.: Evaluating topic representations for exploring document collections (2017) 0.01
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    Abstract
    Topic models have been shown to be a useful way of representing the content of large document collections, for example, via visualization interfaces (topic browsers). These systems enable users to explore collections by way of latent topics. A standard way to represent a topic is using a term list; that is the top-n words with highest conditional probability within the topic. Other topic representations such as textual and image labels also have been proposed. However, there has been no comparison of these alternative representations. In this article, we compare 3 different topic representations in a document retrieval task. Participants were asked to retrieve relevant documents based on predefined queries within a fixed time limit, presenting topics in one of the following modalities: (a) lists of terms, (b) textual phrase labels, and (c) image labels. Results show that textual labels are easier for users to interpret than are term lists and image labels. Moreover, the precision of retrieved documents for textual and image labels is comparable to the precision achieved by representing topics using term lists, demonstrating that labeling methods are an effective alternative topic representation.
  20. Kraker, P.; Schramm, M.; Kittel, C.: Open knowledge maps : visuelle Literatursuche basierend auf den Prinzipien von Open Science (2019) 0.01
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