Browsing by Author "Agarwal, Shivam"

Now showing 1 - 8 of 8
  • Thumbnail Image
    Item
    CohExplore: Visually Supporting Students in Exploring Text Cohesion
    (The Eurographics Association, 2023) Liebers, Carina; Agarwal, Shivam; Beck, Fabian; Gillmann, Christina; Krone, Michael; Lenti, Simone
    A cohesive text allows readers to follow the described ideas and events. Exploring cohesion in text might aid students enhancing their academic writing. We introduce CohExplore, which promotes exploring and reflecting on cohesion of a given text by visualizing computed cohesion-related metrics on an overview and detailed level. Detected topics are color-coded, semantic similarity is shown via lines, while connectives and co-references in a paragraph are encoded using text decoration. Demonstrating the system, we share insights about a student-authored text.
  • Thumbnail Image
    Item
    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.
  • Thumbnail Image
    Item
    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.
  • Thumbnail Image
    Item
    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.
  • Thumbnail Image
    Item
    Visualizing Element Interactions in Dynamic Overlapping Sets
    (The Eurographics Association, 2023) Agarwal, Shivam; Hoellt, Thomas; Aigner, Wolfgang; Wang, Bei
    Elements-the members in sets-may change their memberships over time. Moreover, elements also directly interact with each other, indicating an explicit connection between them. Visualizing both together becomes challenging. Using an existing dynamic set visualization as a basis, we propose an approach to encode the interactions of elements together with changing memberships in sets. We showcase the value in visually analyzing both aspects of elements together through two application examples. The first example shows the evolution of business portfolio and interactions (e.g., acquisitions and partnerships) among companies. A second example analyzes the dynamic collaborative interactions among researchers in computer science.
  • Thumbnail Image
    Item
    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.
  • Thumbnail Image
    Item
    Visualizing the Evolution of Multi-agent Game-playing Behaviors
    (The Eurographics Association, 2022) Agarwal, Shivam; Latif, Shahid; Rothweiler, Aristide; Beck, Fabian; Krone, Michael; Lenti, Simone; Schmidt, Johanna
    Analyzing the training evolution of AI agents in a multi-agent environment helps to understand changes in learned behaviors, as well as the sequence in which they are learned. We train an existing Pommerman team from scratch and, at regular intervals, let it battle against another top-performing team. We define thirteen game-specific behaviors and compute their occurrences in 600 matches. To investigate the evolution of these behaviors, we propose a visualization approach and showcase its usefulness in an application example.
  • No Thumbnail Available
    Item
    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.