EuroVisPosters2019

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https://diglib.eg.org/handle/10.2312/2632785

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Browsing EuroVisPosters2019 by Subject "Information visualization"

Now showing 1 - 4 of 4
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    Shapes of Time: Visualizing Set Changes Over Time in Cultural Heritage Collections
    (The Eurographics Association, 2019) Salisu, Saminu; Mayr, Eva; Filipov, Velitchko Andreev; Leite, Roger A.; Miksch, Silvia; Windhager, Florian; Madeiras Pereira, João and Raidou, Renata Georgia
    In cultural heritage collections, categorization is a central technique used to distinguish cultural movements, styles, or genres. For that end, objects are tagged with set-typed metadata and other information, such as time of origin. Visualizations can communicate how such sets organize a collection - and how they change over time. But existing interfaces fall short of a) representing an overview of temporal set-developments in an integrated fashion and b) of representing the set elements (i.e., the cultural objects) themselves to be contemplated on demand. Against this background, we introduce two integrated visualization techniques - a superimposition and a space-time cube view - depicting the development of sets and their elements over time. We share first results from a qualitative evaluation with casual users and outline open challenges for future research.
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    A Systematic Review of Online Bitcoin Visualizations
    (The Eurographics Association, 2019) Tovanich, Natkamon; HEULOT, Nicolas; Fekete, Jean-Daniel; Isenberg, Petra; Madeiras Pereira, João and Raidou, Renata Georgia
    We contribute a systematic review of online visualizations of the Bitcoin blockchain. Bitcoin is currently the most active cryptocurrency with the largest market share among other cryptocurrencies. It has attracted a large user base and more and more businesses are beginning to accept Bitcoin as payment. While there are still relatively few visualization research papers on Bitcoin, a growing number of online tools visualize data about the Bitcoin blockchain. We provide a first systematic assessment of these online tools to inform future research efforts on making the Bitcoin blockchain more accessible.
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    A Visual Encoding System for Comparative Exploration of Magnetic Resonance Spectroscopy Data
    (The Eurographics Association, 2019) Garrison, Laura; Vasicek, Jakub; Grüner, Renate; Smit, Noeska Natasja; Bruckner, Stefan; Madeiras Pereira, João and Raidou, Renata Georgia
    Magnetic resonance spectroscopy (MRS) allows for assessment of tissue metabolite characteristics used often for early detection and treatment evaluation of intracranial pathologies. In particular, this non-invasive technique is important in the study of metabolic changes related to brain tumors, strokes, seizure disorders, Alzheimer's disease, depression, as well as other diseases and disorders affecting the brain. However, meaningful variations in ratios of tissue metabolites within a sample area are difficult to capture with current visualization tools. Furthermore, the learning curve to interpretation is steep and limits the more widespread adoption of MRS in clinical practice. In this work we present a novel, tiered visual encoding system for multidimensional MRS data to aid in the visual exploration of metabolite concentration ratios. Our system was developed in close collaboration with domain experts including detailed data and task analyses. This visual encoding system was subsequently realized as part of an interactive insight-generation tool for rapid exploration and comparison of metabolite ratio variation for deeper insights to these complex data.
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    Visual-Interactive Exploration of Pathogen Outbreaks in Hospitals
    (The Eurographics Association, 2019) von Landesberger, Tatiana; Wunderlich, Marcel; Baumgartl, Tom; Höhn, Markus; Marschollek, Michael; Scheithauer, Simone; Madeiras Pereira, João and Raidou, Renata Georgia
    Clinicians and hygienists need to identify outbreaks and transmission patterns of pathogen infections among hospital patients. Such analysis requires the combination of the microbiological laboratory results with the location and contacts among patients. Currently, this is a cumbersome manual and time-consuming task that includes reading multiple textual reports. We present a visual-interactive interface that offers a set of linked visualizations for the identification of outbreaks and patient contacts. The evaluation of our interface with clinicians and hygienists has shown a high applicability for the task and ease of use.