Browsing by Author "Beck, Fabian"

Now showing 1 - 9 of 9
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    Authoring Combined Textual and Visual Descriptions of Graph Data
    (The Eurographics Association, 2019) Latif, Shahid; Su, Kaidie; Beck, Fabian; Johansson, Jimmy and Sadlo, Filip and Marai, G. Elisabeta
    The interactive linking of text and visualizations supports easy and guided exploration of information and results in a coherent document. Authoring such documents for the web requires writing custom HTML and JavaScript. Existing research aims at reducing the effort by providing a declarative syntax. However, these approaches either do not support the interactive linking of text and visualizations or require advance programming skills to establish this linking. Targeting a specific type of data i.e., graph data, we introduce an approach that uses a declarative syntax to produce interactive documents and requires little to no programming. Based on the user specifications in an HTML file, the system queries the database to retrieve subgraphs and link them to the relevant text fragments. The resulting document consists of a node-link diagram and text; the two representations are closely linked via interactions and word-sized graphics, and provide an active reading experience.
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    A Business Intelligence Dashboard for the Phone: Small-scale Visualizations Embedded into a Mobile Analysis and Monitoring Solution
    (The Eurographics Association, 2023) Höll, Nils; Latif, Shahid; Beck, Fabian; Hoellt, Thomas; Aigner, Wolfgang; Wang, Bei
    Although smartphones have become ubiquitous, most of the visualization applications are still designed for large-screen devices. In a business intelligence context, dashboard solutions for monitoring key performance indicators and performing simple analysis tasks can profit from being available on the phone.We identify usage scenarios and design requirements by interviewing 20 business experts. Our solution adapts existing diagrams and proposes novel visualizations for the small-screen environment, and integrates them into an easy-to-use visual dashboard.
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    A Deeper Understanding of Visualization-Text Interplay in Geographic Data-driven Stories
    (The Eurographics Association and John Wiley & Sons Ltd., 2021) Latif, Shahid; Chen, Siming; Beck, Fabian; Borgo, Rita and Marai, G. Elisabeta and Landesberger, Tatiana von
    Data-driven stories comprise of visualizations and a textual narrative. The two representations coexist and complement each other. Although existing research has explored the design strategies and structure of such stories, it remains an open research question how the two representations play together on a detailed level and how they are linked with each other. In this paper, we aim at understanding the fine-grained interplay of text and visualizations in geographic data-driven stories. We focus on geographic content as it often includes complex spatiotemporal data presented as versatile visualizations and rich textual descriptions. We conduct a qualitative empirical study on 22 stories collected from a variety of news media outlets; 10 of the stories report the COVID-19 pandemic, the others cover diverse topics. We investigate the role of every sentence and visualization within the narrative to reveal how they reference each other and interact. Moreover, we explore the positioning and sequence of various parts of the narrative to find patterns that further consolidate the stories. Drawing from the findings, we discuss study implications with respect to best practices and possibilities to automate the report generation.
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    A Design and Application Space for Visualizing User Sessions of Virtual and Mixed Reality Environments
    (The Eurographics Association, 2020) Agarwal, Shivam; Auda, Jonas; Schneegaß, Stefan; Beck, Fabian; Krüger, Jens and Niessner, Matthias and Stückler, Jörg
    Virtual and mixed reality environments gain complexity due to the inclusion of multiple users and physical objects. A core challenge for developers and researchers while analyzing sessions from such environments lies in understanding the interaction between entities. Additionally, the raw data recorded from such sessions is difficult to analyze due to the simultaneous temporal and spatial changes of multiple entities. However, similar data has already been visualized in other areas of application. We analyze which aspects of these related visualizations can be leveraged for analyzing user sessions in virtual and mixed reality environments and describe a design and application space for such visualizations. First, we examine what information is typically generated in interactive virtual and mixed reality applications and how it can be analyzed through such visualizations. Next, we study visualizations from related research fields and derive seven visualization categories. These categories act as building blocks of the design space, which can be combined into specific visualization systems. We also discuss the application space for these visualizations in debugging and evaluation scenarios. We present two application examples that showcase how one can visualize virtual and mixed reality user sessions and derive useful insights from them.
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    VisCoMET: Visually Analyzing Team Collaboration in Medical Emergency Trainings
    (The Eurographics Association and John Wiley & Sons Ltd., 2023) Liebers, Carina; Agarwal, Shivam; Krug, Maximilian; Pitsch, Karola; Beck, Fabian; Bujack, Roxana; Archambault, Daniel; Schreck, Tobias
    Handling emergencies requires efficient and effective collaboration of medical professionals. To analyze their performance, in an application study, we have developed VisCoMET, a visual analytics approach displaying interactions of healthcare personnel in a triage training of a mass casualty incident. The application scenario stems from social interaction research, where the collaboration of teams is studied from different perspectives. We integrate recorded annotations from multiple sources, such as recorded videos of the sessions, transcribed communication, and eye-tracking information. For each session, an informationrich timeline visualizes events across these different channels, specifically highlighting interactions between the team members. We provide algorithmic support to identify frequent event patterns and to search for user-defined event sequences. Comparing different teams, an overview visualization aggregates each training session in a visual glyph as a node, connected to similar sessions through edges. An application example shows the usage of the approach in the comparative analysis of triage training sessions, where multiple teams encountered the same scene, and highlights discovered insights. The approach was evaluated through feedback from visualization and social interaction experts. The results show that the approach supports reflecting on teams' performance by exploratory analysis of collaboration behavior while particularly enabling the comparison of triage training sessions.
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    Visual Comparison of Multi-label Classification Results
    (The Eurographics Association, 2021) Krause, Cedric; Agarwal, Shivam; Ghoniem, Mohammad; Beck, Fabian; Andres, Bjoern and Campen, Marcel and Sedlmair, Michael
    In multi-label classification, we do not only want to analyze individual data items but also the relationships between the assigned labels. Employing different sources and algorithms, the label assignments differ. We need to understand these differences to identify shared and conflicting assignments. We propose a visualization technique that addresses these challenges. In graphs, we present the labels for any classification result as nodes and the pairwise overlaps of labels as links between them. These graphs are juxtaposed for the different results and can be diffed graphically. Clustering techniques are used to further analyze similarities between labels or classification results, respectively. We demonstrate our prototype in two application examples from the machine learning domain.
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    Visualizing Sets and Changes in Membership Using Layered Set Intersection Graphs
    (The Eurographics Association, 2020) Agarwal, Shivam; Tkachev, Gleb; Wermelinger, Michel; Beck, Fabian; Krüger, Jens and Niessner, Matthias and Stückler, Jörg
    Challenges in set visualization include representing overlaps among sets, changes in their membership, and details of constituent elements. We present a visualization technique that addresses these challenges. The approach uses set intersection graphs that explicitly visualize each set intersection as a rectangular node and elements as circles inside them. We represent the graph as a layered node-link diagram using colors to indicate the sets. The layers reflect different levels of intersections, from the base sets in the lowest layer to potentially the intersection of all sets in the highest layer. We provide different perspectives to show temporal changes in set membership. Graphs for individual, two, and all timesteps are visualized in static, diff, and aggregated views. Together with linked views and filters, the technique supports the detailed exploration of dynamic set data. We demonstrate the effectiveness of the proposed approach by discussing two application examples. The submitted supplemental material contains a video showing proposed interactions in the implementation and the prototype itself.
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    Visually Abstracting Event Sequences as Double Trees Enriched with Category‐Based Comparison
    (© 2023 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2023) Krause, Cedric; Agarwal, Shivam; Burch, Michael; Beck, Fabian; Hauser, Helwig and Alliez, Pierre
    Event sequence visualization aids analysts in many domains to better understand and infer new insights from event data. Analysing behaviour before or after a certain event of interest is a common task in many scenarios. In this paper, we introduce, formally define, and position as a domain‐agnostic tree visualization approach for this task. The visualization shows the sequences that led to the event of interest as a tree on the left, and those that followed on the right. Moreover, our approach enables users to create selections based on event attributes to interactively compare the events and sequences along colour‐coded categories. We integrate the double tree and category‐based comparison into a user interface for event sequence analysis. In three application examples, we show a diverse set of scenarios, covering short and long time spans, non‐spatial and spatial events, human and artificial actors, to demonstrate the general applicability of the approach.
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    Visually Comparing Rendering Performance from Multiple Perspectives
    (The Eurographics Association, 2022) Tarner, Hagen; Bruder, Valentin; Frey, Steffen; Ertl, Thomas; Beck, Fabian; Bender, Jan; Botsch, Mario; Keim, Daniel A.
    Evaluation of rendering performance is crucial when selecting or developing algorithms, but challenging as performance can largely differ across a set of selected scenarios. Despite this, performance metrics are often reported and compared in a highly aggregated way. In this paper we suggest a more fine-grained approach for the evaluation of rendering performance, taking into account multiple perspectives on the scenario: camera position and orientation along different paths, rendering algorithms, image resolution, and hardware. The approach comprises a visual analysis system that shows and contrasts the data from these perspectives. The users can explore combinations of perspectives and gain insight into the performance characteristics of several rendering algorithms. A stylized representation of the camera path provides a base layout for arranging the multivariate performance data as radar charts, each comparing the same set of rendering algorithms while linking the performance data with the rendered images. To showcase our approach, we analyze two types of scientific visualization benchmarks.