Browsing by Author "Landesberger, Tatiana von"

Now showing 1 - 7 of 7
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    Data Reconstruction from Colored Slice-and-Dice Treemaps
    (The Eurographics Association, 2020) Henkel, Markus; Knauthe, Volker; Landesberger, Tatiana von; Guthe, Stefan; Krüger, Jens and Niessner, Matthias and Stückler, Jörg
    Treemaps illustrate hierarchical data, such as file systems or budget structures. Colors are often used to encode additional information or to emphasize the tree structure. Given a treemap, one may want to retrieve the underlying data. However, treemap reconstruction is challenging, as the inner tree structure needs to be derived almost exclusively from leaf node rectangles. Furthermore, treemaps are well known to suffer from ambiguities, i.e., different input data may produce the same drawing. We present a novel reconstruction approach for slice-and-dice treemaps. Moreover, we evaluate the influence of five color schemes to resolve ambiguities. Our work can be used for the reproducibility of published data and for assessing ambiguities in slice-and-dice treemaps.
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    EuroVis 2021 CGF 40-3: Frontmatter
    (The Eurographics Association and John Wiley & Sons Ltd., 2021) Borgo, Rita; Marai, G. Elisabeta; Landesberger, Tatiana von; Borgo, Rita and Marai, G. Elisabeta and Landesberger, Tatiana von
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    Explorative Study on Semantically Resonant Colors for Combinations of Categories with Application to Meteorological Data
    (The Eurographics Association, 2023) Pelchmann, Laura; Bremm, Sebastian; Ebell, Kerstin; Landesberger, Tatiana von; Gillmann, Christina; Krone, Michael; Lenti, Simone
    We present an exploratory study of semantically resonant colors for combinations of categories. The goal is to support color selection of multi-labeled classes of classified data. We asked participants to assign colors to different categories in the meteorological domain and then to their combinations. Our results show that the colors chosen for the combinations are related to the colors for the individual categories. We also found indications that people tend to prefer darker color values for combinations of categories. Our results can be used to color code meteorological data.
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    Factors Influencing Visual Comparison of Colored Directed Acyclic Graphs
    (The Eurographics Association, 2023) Graniczkowska, Cynthia; Pelchmann, Laura; Landesberger, Tatiana von; Pohl, Margit; Guthe, Michael; Grosch, Thorsten
    This paper presents a comprehensive investigation of the factors that influence visual comparison in colored node-link diagrams. We conducted a user study in which participants were asked to identify differences in pairs of directed acyclic graphs (DAGs) under time constraints. Previous studies focused on the perception of differences in node-link diagrams without coloring. Our results show that the individual coloring of nodes and edges significantly affects the detection of differences. We were able to confirm previous results, such as the influence of graph density, and also found that uniform coloring in certain areas of the graphs plays an important role in finding differences. Consequently, the results of this study hold potential for developing better comparative visualizations for diverse applications, such as finance or biology.
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    Influence of Container Resolutions on the Layout Stability of Squarified and Slice-And-Dice Treemaps
    (The Eurographics Association, 2020) Knauthe, Volker; Ballweg, Kathrin; Wunderlich, Marcel; Landesberger, Tatiana von; Guthe, Stefan; Kerren, Andreas and Garth, Christoph and Marai, G. Elisabeta
    In this paper, we analyze the layout stability for the squarify and slice-and-dice treemap layout algorithms when changing the visualization containers resolution. We also explore how rescaling a finished layout to another resolution compares to a recalculated layout, i.e. fixed layout versus changing layout. For our evaluation, we examine a real world use-case and use a total of 240000 random data treemap visualizations. Rescaling slice-and-dice or squarify layouts affects the aspect ratios. Recalculating slice-and-dice layouts is equivalent to rescaling since the layout is not affected by changing the container resolution. Recalculating squarify layouts, on the other hand, yields stable aspect ratios but results in potentially huge layout changes. Finally, we provide guidelines for using rescaling, recalculation and the choice of algorithm.
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    Visual Analysis for Hospital Infection Control using a RNN Model
    (The Eurographics Association, 2020) Müller, Martin; Petzold, Markus; Wunderlich, Marcel; Baumgartl, Tom; Höhn, Markus; Eichel, Vanessa; Mutters, Nico T.; Scheithauer, Simone; Marschollek, Michael; Landesberger, Tatiana von; Turkay, Cagatay and Vrotsou, Katerina
    Bacteria and viruses are transmitted among patients in the hospital. Infection control experts develop strategies for infection control. Currently, this is done mostly manually, which is time-consuming and error-prone. Visual analysis approaches mainly focus disease spread on population level.We learn a RNN model for detection of potential infections, transmissions and infection factors. We present a novel interactive visual interface to explore the model results. Together with infection control experts, we apply our approach to real hospital data. The experts could identify factors for infections and derive infection control measures.
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    Width-Scale Bar Charts for Data with Large Value Range
    (The Eurographics Association, 2020) Höhn, Markus; Wunderlich, Marcel; Ballweg, Kathrin; Landesberger, Tatiana von; Kerren, Andreas and Garth, Christoph and Marai, G. Elisabeta
    Data sets with large value range are difficult to visualize with traditional linear bar charts. Usually, a logarithmic scale is used in these cases. However, the logarithmic scale suffers from non-linearity. Recently, scale-stack bar charts and magnitude markers, improve the readability of values. However, they have other disadvantages such as various scales or several objects for visualizing one value. We propose the width-scale bar chart that uses width, height and color to cover a large value range within one linear scale. A quantitative user study shows advantages of our design - especially for reading values.