Now showing items 1-20 of 45

    • Visual Parameter Selection for Spatial Blind Source Separation 

      Piccolotto, Nikolaus; Bögl, Markus; Muehlmann, Christoph; Nordhausen, Klaus; Filzmoser, Peter; Miksch, Silvia (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Analysis of spatial multivariate data, i.e., measurements at irregularly-spaced locations, is a challenging topic in visualization and statistics alike. Such data are integral to many domains, e.g., indicators of valuable ...
    • Visual Analytics of Contact Tracing Policy Simulations During an Emergency Response 

      Sondag, Max; Turkay, Cagatay; Xu, Kai; Matthews, Louise; Mohr, Sibylle; Archambault, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Epidemiologists use individual-based models to (a) simulate disease spread over dynamic contact networks and (b) to investigate strategies to control the outbreak. These model simulations generate complex 'infection maps' ...
    • Nested Papercrafts for Anatomical and Biological Edutainment 

      Schindler, Marwin; Korpitsch, Thorsten; Raidou, Renata Georgia; Wu, Hsiang-Yun (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      In this paper, we present a new workflow for the computer-aided generation of physicalizations, addressing nested configurations in anatomical and biological structures. Physicalizations are an important component of ...
    • Streaming Approach to In Situ Selection of Key Time Steps for Time-Varying Volume Data 

      Wu, Mengxi; Chiang, Yi-Jen; Musco, Christopher (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Key time steps selection, i.e., selecting a subset of most representative time steps, is essential for effective and efficient scientific visualization of large time-varying volume data. In particular, as computer simulations ...
    • How Accessible is my Visualization? Evaluating Visualization Accessibility with Chartability 

      Elavsky, Frank; Bennett, Cynthia; Moritz, Dominik (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Novices and experts have struggled to evaluate the accessibility of data visualizations because there are no common shared guidelines across environments, platforms, and contexts in which data visualizations are authored. ...
    • Hybrid Touch/Tangible Spatial Selection in Augmented Reality 

      Sereno, Mickael; Gosset, Stéphane; Besançon, Lonni; Isenberg, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We study tangible touch tablets combined with Augmented Reality Head-Mounted Displays (AR-HMDs) to perform spatial 3D selections. We are primarily interested in the exploration of 3D unstructured datasets such as cloud ...
    • Urban Rhapsody: Large-scale Exploration of Urban Soundscapes 

      Rulff, João; Miranda, Fabio; Hosseini, Maryam; Lage, Marcos; Cartwright, Mark; Dove, Graham; Bello, Juan; Silva, Claudio T. (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Noise is one of the primary quality-of-life issues in urban environments. In addition to annoyance, noise negatively impacts public health and educational performance. While low-cost sensors can be deployed to monitor ...
    • Level of Detail Exploration of Electronic Transition Ensembles using Hierarchical Clustering 

      Sidwall Thygesen, Signe; Masood, Talha Bin; Linares, Mathieu; Natarajan, Vijay; Hotz, Ingrid (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We present a pipeline for the interactive visual analysis and exploration of molecular electronic transition ensembles. Each ensemble member is specified by a molecular configuration, the charge transfer between two molecular ...
    • SimilarityNet: A Deep Neural Network for Similarity Analysis Within Spatio-temporal Ensembles 

      Huesmann, Karim; Linsen, Lars (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Latent feature spaces of deep neural networks are frequently used to effectively capture semantic characteristics of a given dataset. In the context of spatio-temporal ensemble data, the latent space represents a similarity ...
    • VIBE: A Design Space for VIsual Belief Elicitation in Data Journalism 

      Mahajan, Shambhavi; Chen, Bonnie; Karduni, Alireza; Kim, Yea-Seul; Wall, Emily (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      The process of forming, expressing, and updating beliefs from data plays a critical role in data-driven decision making. Effectively eliciting those beliefs has potential for high impact across a broad set of applications, ...
    • AirLens: Multi-Level Visual Exploration of Air Quality Evolution in Urban Agglomerations 

      Qu, Dezhan; Lv, Cheng; Lin, Yiming; Zhang, Huijie; Wang, Rong (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      The precise prevention and control of air pollution is a great challenge faced by environmental experts in recent years. Understanding the air quality evolution in the urban agglomeration is important for coordinated control ...
    • DanmuVis: Visualizing Danmu Content Dynamics and Associated Viewer Behaviors in Online Videos 

      Chen, Shuai; Li, Sihang; Li, Yanda; Zhu, Junlin; Long, Juanjuan; Chen, Siming; Zhang, Jiawan; Yuan, Xiaoru (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Danmu (Danmaku) is a unique social media service in online videos, especially popular in Japan and China, for viewers to write comments while watching videos. The danmu comments are overlaid on the video screen and ...
    • Exploring Multivariate Event Sequences with an Interactive Similarity Builder 

      Xu, Shaobin; Sun, Minghui; Zhang, Zhengtai; Xue, Hao (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Similarity-based exploration is an effective method in knowledge discovery. Faced with multivariate event sequence data (MVES), developing a satisfactory similarity measurement for a specific question is challenging because ...
    • Misinformed by Visualization: What Do We Learn From Misinformative Visualizations? 

      Lo, Leo Yu-Ho; Gupta, Ayush; Shigyo, Kento; Wu, Aoyu; Bertini, Enrico; Qu, Huamin (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Data visualization is powerful in persuading an audience. However, when it is done poorly or maliciously, a visualization may become misleading or even deceiving. Visualizations give further strength to the dissemination ...
    • Neural Flow Map Reconstruction 

      Sahoo, Saroj; Lu, Yuzhe; Berger, Matthew (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      In this paper we present a reconstruction technique for the reduction of unsteady flow data based on neural representations of time-varying vector fields. Our approach is motivated by the large amount of data typically ...
    • Optimizing Grid Layouts for Level-of-Detail Exploration of Large Data Collections 

      Frey, Steffen (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      This paper introduces an optimization approach for generating grid layouts from large data collections such that they are amenable to level-of-detail presentation and exploration. Classic (flat) grid layouts visually do ...
    • Effective Use of Likert Scales in Visualization Evaluations: A Systematic Review 

      South, Laura; Saffo, David; Vitek, Olga; Dunne, Cody; Borkin, Michelle A. (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Likert scales are often used in visualization evaluations to produce quantitative estimates of subjective attributes, such as ease of use or aesthetic appeal. However, the methods used to collect, analyze, and visualize ...
    • Investigating the Role and Interplay of Narrations and Animations in Data Videos 

      Cheng, Hao; Wang, Junhong; Wang, Yun; Lee, Bongshin; Zhang, Haidong; Zhang, Dongmei (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Combining data visualizations, animations, and audio narrations, data videos can increase viewer engagement and effectively communicate data stories. Due to their increasing popularity, data videos have gained growing ...
    • Exploring How Visualization Design and Situatedness Evoke Compassion in the Wild 

      Morais, Luiz; Andrade, Nazareno; Sousa, Dandara (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      This work explores how the design and situatedness of data representations affect people's compassion with a case study concerning harassment episodes in a public place. Results contribute to advancing the understanding ...
    • CorpusVis: Visual Analysis of Digital Sheet Music Collections 

      Miller, Matthias; Rauscher, Julius; Keim, Daniel A.; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Manually investigating sheet music collections is challenging for music analysts due to the magnitude and complexity of underlying features, structures, and contextual information. However, applying sophisticated algorithmic ...