Browsing EuroVisShort2021 by Subject "Information visualization"

Now showing items 1-5 of 5

    • Algorithmic Improvements on Hilbert and Moore Treemaps for Visualization of Large Tree-structured Datasets 

      Scheibel, Willy; Weyand, Christopher; Bethge, Joseph; Döllner, Jürgen (The Eurographics Association, 2021)
      Hilbert and Moore treemaps are based on the same named space-filling curves to lay out tree-structured data for visualization. One main component of them is a partitioning subroutine, whose algorithmic complexity poses ...

    • Discussion Flows: An Interactive Visualization for Analyzing Engagement in Multi-Party Meetings 

      Wang, Tao; Keck, Mandy; Vosough, Zana (The Eurographics Association, 2021)
      Engagement in multi-party meetings is a key indicator of outcome. Poor attendee involvement can hinder progress and hurt team cohesion. Thus, there is a strong motivation for organizations to better understand what happens ...

    • RoomCanvas: A Visualization System for Spatiotemporal Temperature Data in Smart Homes 

      König, Bastian; Limberger, Daniel; Klimke, Jan; Hagedorn, Benjamin; Döllner, Jürgen (The Eurographics Association, 2021)
      Spatiotemporal measurements such as power consumption, temperature, humidity, movement, noise, brightness, etc., will become ubiquitously available in both old and modern homes to capture and analyze behavioral patterns. ...

    • SailVis: Reconstruction and Multifaceted Visualization of Sail Shape 

      Mu, Danfeng; Pieras, Marcos; Broekens, Douwe; Marroquim, Ricardo (The Eurographics Association, 2021)
      While sailing, sailors rely on their eyes to inspect the sail shape and adjust the configurations to achieve an appropriate shape for a certain the weather condition. Mastering this so-called trimming process requires years ...

    • TaskVis: Task-oriented Visualization Recommendation 

      Shen, Leixian; Shen, Enya; Tai, Zhiwei; Song, Yiran; Wang, Jianmin (The Eurographics Association, 2021)
      General visualization recommendation systems typically make design decisions of the dataset automatically. However, these systems are only able to prune meaningless visualizations but fail to recommend targeted results. ...