Collections in this community

Recent Submissions

  • Trust in Information Visualization 

    Mayr, Eva; Hynek, Nicole; Salisu, Saminu; Windhager, Florian (The Eurographics Association, 2019)
    Trust is an important factor that mediates whether a user will rely and build on the information displayed in a visualization. Research in other fields shows that there are different mechanisms of trust building: Users ...
  • Examining the Components of Trust in Map-Based Visualizations 

    Xiong, Cindy; Padilla, Lace; Grayson, Kent; Franconeri, Steven (The Eurographics Association, 2019)
    Prior research suggests that perceived transparency is often associated with perceived trust. For some data types, greater transparency in data visualization is also associated with an increase in the amount of information ...
  • Detection of Confirmation and Distinction Biases in Visual Analytics Systems 

    Nalcaci, Atilla Alpay; Girgin, Dilara; Balki, Semih; Talay, Fatih; Boz, Hasan Alp; Balcisoy, Selim (The Eurographics Association, 2019)
    Cognitive bias is a systematic error that introduces drifts and distortions in the human judgment in terms of visual decomposition in the direction of the dominant instance. It has a significant role in decision-making ...
  • Uni- and Multi-modal Uncertainty Visualization in 2D Scalar Field Ensembles 

    Gebauer, Eike; Linsen, Lars (The Eurographics Association, 2019)
    The aim of uncertainty-aware scalar field visualization is to convey the most likely case, but also the uncertainty associated with it. In scientific simulations, uncertainty can be modeled using an ensemble approach. ...
  • Towards Supporting Interpretability of Clustering Results with Uncertainty Visualization 

    Kinkeldey, Christoph; Korjakow, Tim; Benjamin, Jesse Josua (The Eurographics Association, 2019)
    Interpretation of machine learning results is a major challenge for non-technical experts, with visualization being a common approach to support this process. For instance, interpretation of clustering results is usually ...
  • TrustVis 2019: Frontmatter 

    Kosara, Robert; Lawonn, Kai; Linsen, Lars; Smit, Noeska (The Eurographics Association, 2019)
  • Uncertainty of Visualizations for SenseMaking in Criminal Intelligence Analysis 

    Islam, M. Junayed; Xu, Kai; Wong, B. L. W. (The Eurographics Association, 2018)
    Uncertainty in visualization is an inevitable issue for sensemaking in criminal intelligence. Accuracy and precision of adopted visualization techniques have got greater role in trustworthiness with the system while finding ...
  • Toward Visualizing Subjective Uncertainty: A Conceptual Framework Addressing Perceived Uncertainty through Action Redundancy 

    Li, Wei; Funk, Mathias; Brombacher, Aarnout C. (The Eurographics Association, 2018)
    Uncertainty is usually technically defined with associated metrics by visualization researchers. Next to this rather objective description, there is a subjective notion to uncertainty considering human experiences eliciting ...
  • Uncertainty Visualization: Recent Developments and Future Challenges in Prostate Cancer Radiotherapy Planning 

    Raidou, Renata G. (The Eurographics Association, 2018)
    Radiotherapy is one of the most common treatment strategy for prostate cancer. Prior to radiotherapy, a complex process consisting of several steps is employed to create an optimal treatment plan. However, all these steps ...
  • Visualizing Uncertainty in Cultural Heritage Collections 

    Windhager, Florian; Filipov, Velitchko Andreev; Salisu, Saminu; Mayr, Eva (The Eurographics Association, 2018)
    Visualizations of cultural heritage collections play an increasing role in supporting the sensemaking processes of visitors and researchers. While many visualization systems provide overview and exploration options for ...
  • Visual Analytics-enabled Bayesian Network Approach to Reasoning about Public Camera Data 

    Chuprikova, Ekaterina; MacEachren, Alan M.; Cron, Juliane; Meng, Liqiu (The Eurographics Association, 2018)
    The Visual Analytics (VA) approach has become an important tool for gaining insights on various data sets. Thus, significant research has been conducted to integrate statistical methods in the interactive environment of ...
  • EuroRV3 2018: Frontmatter 

    Kai Lawonn; Noeska Smit; Lars Linsen; Robert Kosara (The Eurographics Association, 2018)
  • From a User Study to a Valid Claim: How to Test Your Hypothesis and Avoid Common Pitfalls 

    Hoon, Niels H. L. C. de; Eisemann, Elmar; Vilanova, Anna (The Eurographics Association, 2017)
    The evaluation of visualization methods or designs often relies on user studies. Apart from the difficulties involved in the design of the study itself, the existing mechanisms to obtain sound conclusions are often unclear. ...
  • Guidelines and Recommendations for the Evaluation of New Visualization Techniques by Means of Experimental Studies 

    Luz, Maria; Lawonn, Kai; Hansen, Christian (The Eurographics Association, 2017)
    This paper addresses important issues in the evaluation of new visualization techniques. It describes the principle of quantitative research in general and presents the idea of experimental studies. The goal of experimental ...
  • Evaluating the Perceptual Uniformity of Color Sequences for Feature Discrimination 

    Ware, Colin; Turton, Terece L.; Samsel, Francesca; Bujack, Roxana; Rogers, David H. (The Eurographics Association, 2017)
    Probably the most common method for visualizing univariate data maps is through pseudocoloring and one of the most commonly cited requirements of a good colormap is that it be perceptually uniform. This means that differences ...
  • Where'd it go? How Geographic and Force-directed Layouts Affect Network Task Performance 

    Hale, Scott A.; McNeill, Graham; Bright, Jonathan (The Eurographics Association, 2017)
    When visualizing geospatial network data, it is possible to position nodes according to their geographic locations or to position nodes using standard network layout algorithms that ignore geographic location. Such data ...
  • EuroRV3 2017: Frontmatter 

    Lawonn, Kai; Smit, Noeska; Cunningham, Douglas (Eurographics Association, 2017)
  • A Crowdsourced Approach to Colormap Assessment 

    Turton, Terece L.; Ware, Colin; Samsel, Francesca; Rogers, David H. (The Eurographics Association, 2017)
    Despite continual research and discussion on the perceptual effects of color in scientific visualization, psychophysical testing is often limited. In-person lab studies can be expensive and time-consuming while results can ...
  • An Introduction to Evaluation in Medical Visualization 

    Smit, Noeska; Lawonn, Kai (The Eurographics Association, 2016)
    Medical visualization papers often deal with data that is interpreted by medical domain experts in a research or clinical context. Since visualizations are by definition designed to be interpreted by a human observer, often ...
  • Experiences on Validation of Multi-Component System Simulations for Medical Training Applications 

    Law, Yuen C.; Weyers, Benjamin; Kuhlen, Torsten W. (The Eurographics Association, 2016)
    In the simulation of multi-component systems, we often encounter a problem with a lack of ground-truth data. This situation makes the validation of our simulation methods and models a difficult task. In this work we present ...

View more