EuroVisPosters
Permanent URI for this community
Browse
Browsing EuroVisPosters by Author "Beck, Fabian"
Now showing 1 - 4 of 4
Results Per Page
Sort Options
Item CohExplore: Visually Supporting Students in Exploring Text Cohesion(The Eurographics Association, 2023) Liebers, Carina; Agarwal, Shivam; Beck, Fabian; Gillmann, Christina; Krone, Michael; Lenti, SimoneA 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.Item Symbolic Event Visualization for Analyzing User Input and Behavior of Augmented Reality Sessions(The Eurographics Association, 2023) Rabsahl, Solveig; Satzger, Thomas; Kalamkar, Snehanjali; Grubert, Jens; Beck, Fabian; Gillmann, Christina; Krone, Michael; Lenti, SimoneInteracting with augmented reality (AR) systems involves different domains and is more complex than interacting with traditional user interfaces. To analyze AR interactions, we suggest an event visualization approach that discerns different event layers on a timeline. It is based on symbolic event representations of typical user actions, such as physical movement or interaction with scene objects. Although focusing on the Microsoft HoloLens 2, the approach can generalize to similar environments and provide a basis for developing a more comprehensive visual analytics and annotation solution for AR usage sessions.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, JohannaAnalyzing 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.Item Visually Explaining Publication Ranks in Citation-based Literature Search with PURE Suggest(The Eurographics Association, 2022) Beck, Fabian; Krause, Cedric; Krone, Michael; Lenti, Simone; Schmidt, JohannaTracing citation links helps retrieve related publications. While most tools only allow the user to follow the citations of a single publication, some approaches support jointly analyzing the citations of a set of publications. Along similar lines, PURE suggest provides a detailed visual explanation of the ranking of suggested publications. The ranking is based on a score that combines citation numbers with keyword matching and is shown as a glyph for each publication. A citation network component references this glyph and visually embeds it into a timeline and cluster visualization.