EuroVisPanel2025

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/3607190
EuroVis 2025 - 27th EG Conference on Visualization
Luxembourg City, Luxembourg | June 2 - 6, 2025
Table of Contents
Tutorials
Running Online User Studies with the reVISit Framework
[full paper Image] [meta data Image]
Jack Wilburn, Hilson Shrestha, Zach Cutler, Yiren Ding, Tingying He, Andrew M. McNutt, Lane Harrison, and Alexander Lex
Reliable Visual Analytics with Dimensionality Reduction: Quality Evaluation and Interpretation of Projections
[full paper Image] [meta data Image]
Hyeon Jeon, Takanori Fujiwara, and Rafael M. Martins
Panels
Future Challenges and Unsolved Problems in Health Visualization
[full paper Image] [meta data Image]
Juergen Bernard, David Borland, Robert S. Laramee, Bernard Preim, Renate G. Raidou, and Anna Vilanova Bartroli
Panel Proposal: What is the Role of Workshops in Visualization Research?
[full paper Image] [meta data Image]
Christina Gillmann, Guido Reina, Johanna Schmidt, and Daniel Wiegreffe

BibTeX (EuroVisPanel2025)
@inproceedings{
10.2312:evt.20252009,

booktitle = {
EuroVis 2025 - Panels and Tutorials},

editor = {
Isenberg, Tobias
 and 
Sedlmair, Michael
 and 
Tierny, Julien
},
title = {{
EuroVis 2025 Panels and Tutorials: Frontmatter}},

author = {
Isenberg, Tobias
 and 
Sedlmair, Michael
 and 
Tierny, Julien
},
year = {
2025},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-285-1},

DOI = {
10.2312/evt.20252009}

}
@inproceedings{
10.2312:evt.20251117,

booktitle = {
EuroVis 2025 - Panels and Tutorials},

editor = {
Isenberg, Tobias
 and 
Sedlmair, Michael
 and 
Tierny, Julien
},
title = {{
Running Online User Studies with the reVISit Framework}},

author = {
Wilburn, Jack
 and 
Shrestha, Hilson
 and 
Cutler, Zach
 and 
Ding, Yiren
 and 
He, Tingying
 and 
McNutt, Andrew M.
 and 
Harrison, Lane
 and 
Lex, Alexander
},
year = {
2025},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-285-1},

DOI = {
10.2312/evt.20251117}

}
@inproceedings{
10.2312:evt.20251118,

booktitle = {
EuroVis 2025 - Panels and Tutorials},

editor = {
Isenberg, Tobias
 and 
Sedlmair, Michael
 and 
Tierny, Julien
},
title = {{
Reliable Visual Analytics with Dimensionality Reduction: Quality Evaluation and Interpretation of Projections}},

author = {
Jeon, Hyeon
 and 
Fujiwara, Takanori
 and 
Martins, Rafael M.
},
year = {
2025},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-285-1},

DOI = {
10.2312/evt.20251118}

}
@inproceedings{
10.2312:evt.20251119,

booktitle = {
EuroVis 2025 - Panels and Tutorials},

editor = {
Isenberg, Tobias
 and 
Sedlmair, Michael
 and 
Tierny, Julien
},
title = {{
Future Challenges and Unsolved Problems in Health Visualization}},

author = {
Bernard, Jürgen
 and 
Borland, David
 and 
Laramee, Robert S.
 and 
Preim, Bernard
 and 
Raidou, Renata G.
 and 
Vilanova Bartroli, Anna
},
year = {
2025},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-285-1},

DOI = {
10.2312/evt.20251119}

}
@inproceedings{
10.2312:evt.20251120,

booktitle = {
EuroVis 2025 - Panels and Tutorials},

editor = {
Isenberg, Tobias
 and 
Sedlmair, Michael
 and 
Tierny, Julien
},
title = {{
Panel Proposal: What is the Role of Workshops in Visualization Research?}},

author = {
Gillmann, Christina
 and 
Reina, Guido
 and 
Schmidt, Johanna
 and 
Wiegreffe, Daniel
},
year = {
2025},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-285-1},

DOI = {
10.2312/evt.20251120}

}

Browse

Recent Submissions

Now showing 1 - 5 of 5
  • Thumbnail Image
    Item
    EuroVis 2025 Panels and Tutorials: Frontmatter
    (The Eurographics Association, 2025) Isenberg, Tobias; Sedlmair, Michael; Tierny, Julien; Isenberg, Tobias; Sedlmair, Michael; Tierny, Julien
  • Thumbnail Image
    Item
    Running Online User Studies with the reVISit Framework
    (The Eurographics Association, 2025) Wilburn, Jack; Shrestha, Hilson; Cutler, Zach; Ding, Yiren; He, Tingying; McNutt, Andrew M.; Harrison, Lane; Lex, Alexander; Isenberg, Tobias; Sedlmair, Michael; Tierny, Julien
    There currently are two main approaches for running online user studies: experimenters can use commercial survey tools, which are easy to use but can be costly, hamper reproducibility, and have limitations for complex stimuli; or they can build custom software to run and instrument a study, which is a laborious and complex task. In this tutorial, we introduce participants to a new, open-source alternative: the reVISit study platform. Many studies quickly reach a level of complexity such that designers have not only to consider their stimuli and experimental tasks, but also the study UI, data hosting, participant recruiting, randomization, etc. ReVISit ameliorates these problems and allows study designers to focus more on the research questions and stimulus design. ReVISit removes the tedium of study design by providing built-in components that most studies will need. ReVISit uses a domain specific language to allow study designers to quickly create studies, and to deploy them as static websites that are publicly accessible. This tutorial will introduce reVISit to the visualization community and allow community members to get hands on experience with it through a series of practical examples. Throughout the tutorial, participants will improve on a study until they have developed and deployed a study of an interactive, fully instrumented data visualization.
  • Thumbnail Image
    Item
    Reliable Visual Analytics with Dimensionality Reduction: Quality Evaluation and Interpretation of Projections
    (The Eurographics Association, 2025) Jeon, Hyeon; Fujiwara, Takanori; Martins, Rafael M.; Isenberg, Tobias; Sedlmair, Michael; Tierny, Julien
    Dimensionality reduction (DR) is widely used for visual analytics, but the insights obtained from these visualizations may often be unreliable. For example, DR projections distort the intrinsic structure of high-dimensional data in ways that may not be obvious at first glance, potentially leading analysts to inaccurate interpretations. Even reliable visual patterns may be hard to interpret regarding what exactly they convey about the underlying data, due to the often severe compression from hundreds (or thousands) of dimensions down to the visual space. In this tutorial, we discuss how to enhance the reliability of visual analytics with DR by focusing on two perspectives: quality evaluations and interpretations. While the former helps users identify or create projections with fewer distortions, the latter provides a reliable method for deriving insights from those projections. By combining lecture and coding exercises, we expect our tutorial to provide a grounded basis for audiences to use DR in a more reliable manner
  • Thumbnail Image
    Item
    Future Challenges and Unsolved Problems in Health Visualization
    (The Eurographics Association, 2025) Bernard, Jürgen; Borland, David; Laramee, Robert S.; Preim, Bernard; Raidou, Renata G.; Vilanova Bartroli, Anna; Isenberg, Tobias; Sedlmair, Michael; Tierny, Julien
    With the growing popularity of wearable devices, health-related sensors, electronic health records (EHR), population health records (PopHR), computational biology and simulation, imaging data such as CT and MRI scans, and X-rays, the volume of digital health data is growing rapidly. Large volumes of heterogeneous health data require advanced visualization and visual analytics systems to uncover valuable insight buried in complex sources of data. As a rapidly evolving sub-field of visualization and visual analytics, many interactive health visualization systems have been proposed, developed, and evaluated by clinicians to support effective clinical analysis and decision making. Despite the growing progress in the field, many challenges and unsolved problems remain. The health-related problems that we face today are a clear sign of the growing need to progress in this area. This panel presents an open discussion of the top future challenges and unsolved problems in health and healthrelated visualization. The panel features experts with a range of different backgrounds covering a variety of health-related perspectives. This panel provides a valuable overview of health-related visualization revealing both mature areas and future research directions.
  • Thumbnail Image
    Item
    Panel Proposal: What is the Role of Workshops in Visualization Research?
    (The Eurographics Association, 2025) Gillmann, Christina; Reina, Guido; Schmidt, Johanna; Wiegreffe, Daniel; Isenberg, Tobias; Sedlmair, Michael; Tierny, Julien
    Workshops are a core component of EuroVis and VIS conferences, providing a dedicated space for presenting innovative research, discussing new findings, and fostering community connections. Despite consistent interest in attendance, recent years have seen a troubling decline in workshop submissions, particularly since the COVID-19 pandemic. We propose a panel to explore workshops' role within the VIS community, examining factors that contribute to their success and sustainability. Key questions include identifying the elements that make workshops appealing to participants and submitters, understanding their impact on scientific careers, and assessing the potential for workshops to evolve or be integrated into larger conference formats. The goal of the panel is to develop a position paper summarizing insights from these discussions to help shape the future of workshops in the visualization and Visual Analytics field.