EuroVisSTAR

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Chart Question Answering: State of the Art and Future Directions
(The Eurographics Association and John Wiley & Sons Ltd., 2022) Hoque, Enamul; Kavehzadeh, Parsa; Masry, Ahmed; Bruckner, Stefan; Turkay, Cagatay; Vrotsou, Katerina
Information visualizations such as bar charts and line charts are very common for analyzing data and discovering critical insights. Often people analyze charts to answer questions that they have in mind. Answering such questions can be challenging as they often require a significant amount of perceptual and cognitive effort. Chart Question Answering (CQA) systems typically take a chart and a natural language question as input and automatically generate the answer to facilitate visual data analysis. Over the last few years, there has been a growing body of literature on the task of CQA. In this survey, we systematically review the current state-of-the-art research focusing on the problem of chart question answering. We provide a taxonomy by identifying several important dimensions of the problem domain including possible inputs and outputs of the task and discuss the advantages and limitations of proposed solutions. We then summarize various evaluation techniques used in the surveyed papers. Finally, we outline the open challenges and future research opportunities related to chart question answering.
Data to Physicalization: A Survey of the Physical Rendering Process
(The Eurographics Association and John Wiley & Sons Ltd., 2021) Djavaherpour, Hessam; Samavati, Faramarz; Mahdavi-Amiri, Ali; Yazdanbakhsh, Fatemeh; Huron, Samuel; Levy, Richard; Jansen, Yvonne; Oehlberg, Lora; Smit, Noeska and Vrotsou, Katerina and Wang, Bei
Physical representations of data offer physical and spatial ways of looking at, navigating, and interacting with data. While digital fabrication has facilitated the creation of objects with data-driven geometry, rendering data as a physically fabricated object is still a daunting leap for many physicalization designers. Rendering in the scope of this research refers to the backand- forth process from digital design to digital fabrication and its specific challenges. We developed a corpus of example data physicalizations from research literature and physicalization practice. This survey then unpacks the ''rendering'' phase of the extended InfoVis pipeline in greater detail through these examples, with the aim of identifying ways that researchers, artists, and industry practitioners ''render'' physicalizations using digital design and fabrication tools.
EuroVis 2017 - STARs: Frontmatter
(Eurographics Association, 2017) Meyer, Miriah; Takahashi, Shigeo; Vilanova, Anna;
EuroVis 2018 STARs: Frontmatter
(The Eurographics Association and John Wiley & Sons Ltd., 2018) Laramee, Robert S.; Marai, G. Elisabeta; Sedlmair, Michael; Robert S. Laramee and G. Elisabeta Marai and Michael Sedlmair
EuroVis 2019 CGF 38-3 STARs: Frontmatter
(The Eurographics Association and John Wiley & Sons Ltd., 2019) Laramee, Robert S.; Oeltze, Steffen; Sedlmair, Michael; Laramee, Robert S. and Oeltze, Steffen and Sedlmair, Michael
EuroVis 2020 CGF 39-3 STARs: Frontmatter
(The Eurographics Association and John Wiley & Sons Ltd., 2020) Smit, Noeska; Oeltze-Jafra, Steffen; Wang, Bei; Smit, Noeska and Oeltze-Jafra, Steffen and Wang, Bei
EuroVis 2021 CGF 40-3 STARs: Frontmatter
(The Eurographics Association and John Wiley & Sons Ltd., 2021) Smit, Noeska; Vrotsou, Katerina; Wang, Bei; Smit, Noeska and Vrotsou, Katerina and Wang, Bei
EuroVis 2022 CGF 41-3 STARs: Frontmatter
(The Eurographics Association and John Wiley & Sons Ltd., 2022) Bruckner, Stefan; Turkay, Cagatay; Vrotsou, Katerina; Bruckner, Stefan; Turkay, Cagatay; Vrotsou, Katerina
EuroVis 2023 CGF 42-3 STARs: Frontmatter
(The Eurographics Association and John Wiley & Sons Ltd., 2023) Bruckner, Stefan; Raidou, Renata G.; Turkay, Cagatay; Bruckner, Stefan; Raidou, Renata G.; Turkay, Cagatay
EuroVis 2024 CGF 43-3 STARs: Frontmatter
(The Eurographics Association and John Wiley & Sons Ltd., 2024) Garth, Christoph; Kerren, Andreas; Raidou, Renata; Garth, Christoph; Kerren, Andreas; Raidou, Renata
EuroVis STARs 2016: Frontmatter
(Eurographics Association, 2016) Ross Maciejewski; Timo Ropinski; Anna Vilanova;
External Labeling Techniques: A Taxonomy and Survey
(The Eurographics Association and John Wiley & Sons Ltd., 2019) Bekos, Michael A.; Niedermann, Benjamin; Nöllenburg, Martin; Laramee, Robert S. and Oeltze, Steffen and Sedlmair, Michael
External labeling is frequently used for annotating features in graphical displays and visualizations, such as technical illustrations, anatomical drawings, or maps, with textual information. Such a labeling connects features within an illustration by thin leader lines with their labels, which are placed in the empty space surrounding the image. Over the last twenty years, a large body of literature in diverse areas of computer science has been published that investigates many different aspects, models, and algorithms for automatically placing external labels for a given set of features. This state-of-the-art report introduces a first unified taxonomy for categorizing the different results in the literature and then presents a comprehensive survey of the state of the art, a sketch of the most relevant algorithmic techniques for external labeling algorithms, as well as a list of open research challenges in this multidisciplinary research field.
Formalizing Emphasis in Information Visualization
(The Eurographics Association and John Wiley & Sons Ltd., 2016) Hall, Kyle Wm.; Perin, Charles; Kusalik, Peter G.; Gutwin, Carl; Carpendale, Sheelagh; Ross Maciejewski and Timo Ropinski and Anna Vilanova
We provide a fresh look at the use and prevalence of emphasis effects in Infovis. Through a survey of existing emphasis frameworks, we extract a set-based approach that uses visual prominence to link visually and algorithmically diverse emphasis effects. Visual prominence provides a basis for describing, comparing and generating emphasis effects when combined with a set of general features of emphasis effects. Therefore, we use visual prominence and these general features to construct a new mathematical Framework for Information Visualization Emphasis, FIVE. The concepts we introduce to describe FIVE unite the emphasis literature and point to several new research directions for emphasis in information visualization.
Frontmatter: Eurographics Conference on Visualization (EuroVis) 2015 - STARs - State of The Art Reports
(Eurographics Association, 2015) Borgo, Rita; Ganovelli, Fabio; Viola, Ivan; -
In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms
(The Eurographics Association and John Wiley & Sons Ltd., 2016) Bauer, Andrew C.; Abbasi, Hasan; Ahrens, James; Childs, Hank; Geveci, Berk; Klasky, Scott; Moreland, Kenneth; O'Leary, Patrick; Vishwanath, Venkatram; Whitlock, Brad; Bethel, E. W.; Ross Maciejewski and Timo Ropinski and Anna Vilanova
The considerable interest in the high performance computing (HPC) community regarding analyzing and visualization data without first writing to disk, i.e., in situ processing, is due to several factors. First is an I/O cost savings, where data is analyzed /visualized while being generated, without first storing to a filesystem. Second is the potential for increased accuracy, where fine temporal sampling of transient analysis might expose some complex behavior missed in coarse temporal sampling. Third is the ability to use all available resources, CPU's and accelerators, in the computation of analysis products. This STAR paper brings together researchers, developers and practitioners using in situ methods in extreme-scale HPC with the goal to present existing methods, infrastructures, and a range of computational science and engineering applications using in situ analysis and visualization.
Information Visualization Evaluation Using Crowdsourcing
(The Eurographics Association and John Wiley & Sons Ltd., 2018) Borgo, Rita; Micallef, Luana; Bach, Benjamin; McGee, Fintan; Lee, Bongshin; Robert S. Laramee and G. Elisabeta Marai and Michael Sedlmair
Visualization researchers have been increasingly leveraging crowdsourcing approaches to overcome a number of limitations of controlled laboratory experiments, including small participant sample sizes and narrow demographic backgrounds of study participants. However, as a community, we have little understanding on when, where, and how researchers use crowdsourcing approaches for visualization research. In this paper, we review the use of crowdsourcing for evaluation in visualization research. We analyzed 190 crowdsourcing experiments, reported in 82 papers that were published in major visualization conferences and journals between 2006 and 2017. We tagged each experiment along 36 dimensions that we identified for crowdsourcing experiments.We grouped our dimensions into six important aspects: study design & procedure, task type, participants, measures & metrics, quality assurance, and reproducibility. We report on the main findings of our review and discuss challenges and opportunities for improvements in conducting crowdsourcing studies for visualization research.
Matrix Reordering Methods for Table and Network Visualization
(The Eurographics Association and John Wiley & Sons Ltd., 2016) Behrisch, Michael; Bach, Benjamin; Riche, Nathalie Henry; Schreck, Tobias; Fekete, Jean-Daniel; Ross Maciejewski and Timo Ropinski and Anna Vilanova
This survey provides a description of algorithms to reorder visual matrices of tabular data and adjacency matrix of networks. The goal of this survey is to provide a comprehensive list of reordering algorithms published in different fields such as statistics, bioinformatics, or graph theory. While several of these algorithms are described in publications and others are available in software libraries and programs, there is little awareness of what is done across all fields. Our survey aims at describing these reordering algorithms in a unified manner to enable a wide audience to understand their differences and subtleties. We organize this corpus in a consistent manner, independently of the application or research field. We also provide practical guidance on how to select appropriate algorithms depending on the structure and size of the matrix to reorder, and point to implementations when available.
On Close and Distant Reading in Digital Humanities: A Survey and Future Challenges
(The Eurographics Association, 2015) Jänicke, Stefan; Franzini, Greta; Cheema, Muhammad Faisal; Scheuermann, Gerik; R. Borgo and F. Ganovelli and I. Viola
We present an overview of the last ten years of research on visualizations that support close and distant reading of textual data in the digital humanities. We look at various works published within both the visualization and digital humanities communities. We provide a taxonomy of applied methods for close and distant reading, and illustrate approaches that combine both reading techniques to provide a multifaceted view of the data. Furthermore, we list toolkits and potentially beneficial visualization approaches for research in the digital humanities. Finally, we summarize collaboration experiences when developing visualizations for close and distant reading, and give an outlook on future challenges in that research area.
Open Your Ears and Take a Look: A State-of-the-Art Report on the Integration of Sonification and Visualization
(The Eurographics Association and John Wiley & Sons Ltd., 2024) Enge, Kajetan; Elmquist, Elias; Caiola, Valentina; Rönnberg, Niklas; Rind, Alexander; Iber, Michael; Lenzi, Sara; Lan, Fangfei; Höldrich, Robert; Aigner, Wolfgang; Garth, Christoph; Kerren, Andreas; Raidou, Renata
The research communities studying visualization and sonification for data display and analysis share exceptionally similar goals, essentially making data of any kind interpretable to humans. One community does so by using visual representations of data, and the other community employs auditory (non-speech) representations of data. While the two communities have a lot in common, they developed mostly in parallel over the course of the last few decades. With this STAR, we discuss a collection of work that bridges the borders of the two communities, hence a collection of work that aims to integrate the two techniques into one form of audiovisual display, which we argue to be ''more than the sum of the two.'' We introduce and motivate a classification system applicable to such audiovisual displays and categorize a corpus of 57 academic publications that appeared between 2011 and 2023 in categories such as reading level, dataset type, or evaluation system, to mention a few. The corpus also enables a meta-analysis of the field, including regularly occurring design patterns such as type of visualization and sonification techniques, or the use of visual and auditory channels, showing an overall diverse field with different designs. An analysis of a co-author network of the field shows individual teams without many interconnections. The body of work covered in this STAR also relates to three adjacent topics: audiovisual monitoring, accessibility, and audiovisual data art. These three topics are discussed individually in addition to the systematically conducted part of this research. The findings of this report may be used by researchers from both fields to understand the potentials and challenges of such integrated designs while hopefully inspiring them to collaborate with experts from the respective other field.
Privacy-Preserving Data Visualization: Reflections on the State of the Art and Research Opportunities
(The Eurographics Association and John Wiley & Sons Ltd., 2020) Bhattacharjee, Kaustav; Chen, Min; Dasgupta, Aritra; Smit, Noeska and Oeltze-Jafra, Steffen and Wang, Bei
Preservation of data privacy and protection of sensitive information from potential adversaries constitute a key socio-technical challenge in the modern era of ubiquitous digital transformation. Addressing this challenge needs analysis of multiple factors: algorithmic choices for balancing privacy and loss of utility, potential attack scenarios that can be undertaken by adversaries, implications for data owners, data subjects, and data sharing policies, and access control mechanisms that need to be built into interactive data interfaces. Visualization has a key role to play as part of the solution space, both as a medium of privacy-aware information communication and also as a tool for understanding the link between privacy parameters and data sharing policies. The field of privacy-preserving data visualization has witnessed progress along many of these dimensions. In this state-of-theart report, our goal is to provide a systematic analysis of the approaches, methods, and techniques used for handling data privacy in visualization. We also reflect on the road-map ahead by analyzing the gaps and research opportunities for solving some of the pressing socio-technical challenges involving data privacy with the help of visualization.

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