EuroVisPosters2025

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https://diglib.eg.org/handle/10.2312/3607191

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Browsing EuroVisPosters2025 by Author "Scheibel, Willy"

Now showing 1 - 3 of 3
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    Discussion and Showcase of an Implementation of Task Taxonomies in Visualizations Based on the Dust and Magnet Metaphor
    (The Eurographics Association, 2025) Böttger, Florence; Scheibel, Willy; Döllner, Jürgen; Diehl, Alexandra; Kucher, Kostiantyn; Médoc, Nicolas
    In order to visualize multivariate data, it is often necessary to reduce their dimensionality. Visualizations based on the Dust and Magnet metaphor aim to present the information of the reduced dimensions via interactivity, while also supporting user comprehension by using a metaphor of ferrous dust and magnets. We compare two approaches to implementing this metaphor into a visualization tool along a set of core visualization tasks and propose extensions to make such visualizations more comprehensible and less misleading.
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    A Graph Layout Evaluation System for Communication Graphs
    (The Eurographics Association, 2025) Schröter, Valentin; Scheibel, Willy; Döllner, Jürgen; Diehl, Alexandra; Kucher, Kostiantyn; Médoc, Nicolas
    Communication networks are a type of graph that occurs in different areas such as robotic, Internet of Things, and general network communication. Layouting such networks for visualization is an ongoing research task, while already existing layout algorithms are plenty and allow for broad parameterization, making the choice of a fitting algorithm difficult. We propose a graph layout evaluation system where a user - a researcher or visualization designer - can upload own graphs, select preloaded ones, or generate synthetic graphs to explore different layouts through their generated layouts. The system allows for configuration of multiple layouts that can then be explored by the user using side-by-side comparison and an enlarged view. Further, the system allows for computation of layout metrics. The overview of different layouts and associated layout metrics can then be used to select a fitting algorithm. The system is prepared for further layout algorithms and layout quality metrics, building a starting point for graph layout research.
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    Towards a Software Framework for Evaluating the Visualization Literacy of Large Language Models
    (The Eurographics Association, 2025) Jobst, Adrian; Atzberger, Daniel; Scheibel, Willy; Döllner, Jürgen; Diehl, Alexandra; Kucher, Kostiantyn; Médoc, Nicolas
    Large Language Models (LLMs) are increasingly integrated into Natural Language Interfaces (NLIs) for visualizations, enabling users to inquire about visualizations through natural language. This work introduces a software framework for evaluating LLMs' visualization literacy, i.e., their ability to interpret and answer questions about visualizations. Our framework generates a set of data points across different LLMs, prompts, and question types, allowing for in-depth analysis. We demonstrate its utility by two experiments, examining the impact of the temperature parameter and predefined answer choices.