7 citations · 18 across the 5 of their papers we have counts for
7 papers
Living Dashboards: Automatically Self-Updating Visualization Dashboards
Mingyu An, Heyon Jeon, Sungbok Shin +4
Visualization dashboards are widely used interactive tools, but a disconnect exists between the dynamic data they display and their static structure. End-users cannot modify the da…
The Future of Visualization Dashboards in the Age of Generative AI
Vaishali Dhanoa, Duosi Dai, Gabriela Molina Léon +2
Generative AI promises easier dashboard creation, raising questions about the future of dashboards and the people who create and use them. We interviewed 16 experts based in 14 cou…
Hey Dashboard!: Supporting Voice, Text, and Pointing Modalities in Dashboard Onboarding
Vaishali Dhanoa, Gabriela Molina León, Eve Hoggan +3
Visualization dashboards are regularly used for data exploration and analysis, but their complex interactions and interlinked views often require time-consuming onboarding sessions…
BEMTrace: Visualization-driven approach for deriving Building Energy Models from BIM
Andreas Walch, Attila Szabo, Harald Steinlechner +3
Building Information Modeling (BIM) describes a central data pool covering the entire life cycle of a construction project. Similarly, Building Energy Modeling (BEM) describes the…
Residency Octree: A Hybrid Approach for Scalable Web-Based Multi-Volume Rendering
Lukas Herzberger, Markus Hadwiger, Robert Krüger +4
We present a hybrid multi-volume rendering approach based on a novel Residency Octree that combines the advantages of out-of-core volume rendering using page tables with those of s…
Feature-assisted interactive geometry reconstruction in 3D point clouds using incremental region growing
Attila Szabo, Georg Haaser, Harald Steinlechner +4
Reconstructing geometric shapes from point clouds is a common task that is often accomplished by experts manually modeling geometries in CAD-capable software. State-of-the-art work…
AccuStripes: Adaptive Binning for the Visual Comparison of Univariate Data Distributions
Anja Heim, Eduard Gröller, Christoph Heinzl
Understanding and comparing distributions of data (e.g., regarding their modes, shapes, or outliers) is a common challenge in many scientific disciplines. Typically, this challenge…