Browsing EuroVA2021 by Subject "Human centered computing"

Now showing items 1-5 of 5

    • Customizable Coordination of Independent Visual Analytics Tools 

      Nonnemann, Lars; Hogräfer, Marius; Schumann, Heidrun; Urban, Bodo; Schulz, Hans-Jörg (The Eurographics Association, 2021)
      While it is common to use multiple independent analysis tools in combination, it is still cumbersome to carry out a cross-tool visual analysis. Some dedicated frameworks addressing this issue exist, yet in order to use ...

    • Immersive Analytics of Heterogeneous Biological Data Informed through Need-finding Interviews 

      Ripken, Christine; Tusk, Sebastian; Tominski, Christian (The Eurographics Association, 2021)
      The goal of this work is to improve existing biological analysis processes by means of immersive analytics. In a first step, we conducted need-finding interviews with 12 expert biologists to understand the limits of current ...

    • Lessons learned while supporting Cyber Situational Awareness 

      Blasilli, Graziano; Paoli, Emiliano De; Lenti, Simone; Picca, Sergio (The Eurographics Association, 2021)
      The increasing number of cyberattacks against critical infrastructures has pushed researchers to develop many Visual Analytics solutions to provide valid defensive approaches and improve the situational awareness of the ...

    • Talk2Hand: Knowledge Board Interaction in Augmented Reality Easing Analysis with Machine Learning Assistants 

      Hong, Yu-Lun; Watson, Benjamin; Thompson, Kenneth; Davis, Paul (The Eurographics Association, 2021)
      Analysts now often use machine learning (ML) assistants, but find them difficult to use, since most have little ML expertise. Talk2Hand improves the usability of ML assistants by supporting interaction with them using ...

    • Towards the Detection and Visual Analysis of COVID-19 Infection Clusters 

      Antweiler, Dario; Sessler, David; Ginzel, Sebastian; Kohlhammer, Jörn (The Eurographics Association, 2021)
      A major challenge for departments of public health (DPHs) in dealing with the ongoing COVID-19 pandemic is tracing contacts in exponentially growing SARS-CoV2 infection clusters. Prevention of further disease spread requires ...