EuroVisPosters2019

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https://diglib.eg.org/handle/10.2312/2632785

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Shapes of Time: Visualizing Set Changes Over Time in Cultural Heritage Collections
(The Eurographics Association, 2019) Salisu, Saminu; Mayr, Eva; Filipov, Velitchko Andreev; Leite, Roger A.; Miksch, Silvia; Windhager, Florian; Madeiras Pereira, João and Raidou, Renata Georgia
In cultural heritage collections, categorization is a central technique used to distinguish cultural movements, styles, or genres. For that end, objects are tagged with set-typed metadata and other information, such as time of origin. Visualizations can communicate how such sets organize a collection - and how they change over time. But existing interfaces fall short of a) representing an overview of temporal set-developments in an integrated fashion and b) of representing the set elements (i.e., the cultural objects) themselves to be contemplated on demand. Against this background, we introduce two integrated visualization techniques - a superimposition and a space-time cube view - depicting the development of sets and their elements over time. We share first results from a qualitative evaluation with casual users and outline open challenges for future research.
A Study on Reflecting User's Emotions Using a Painterly Rendering System
(The Eurographics Association, 2019) Lee, Junghyun; Seo, Sanghyun; Yoon, Kyunghyun; Madeiras Pereira, João and Raidou, Renata Georgia
Painters express visual experience in paintings through their own form of artistic expression and viewers feel various emotions about the elements appearing in paintings. However, it is very difficult for non-experts to express their emotions in painting by using painting elements as painters do. Thus, we aim to help users to express their feelings by improving their understanding of painting elements. To do this, we created a variety of paintings based on elements using a painterly rendering system with painting features. Then, the relationship between painting elements and emotions was examined through the study of users. We present a method of generating a painting expressing a specific emotion by applying elements according to certain emotional values.
The Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Position
(The Eurographics Association, 2019) Mörth, Eric; Raidou, Renata Georgia; Smit, Noeska; Viola, Ivan; Madeiras Pereira, João and Raidou, Renata Georgia
Three dimensional (3D) ultrasound is commonly used in prenatal screening, because it provides insight into the shape as well as the organs of the fetus. Currently, gynecologists take standardized measurements of the fetus and check for abnormalities by analyzing the data in a 2D slice view. The fetal pose may complicate taking precise measurements in such a view. Analyzing the data in a 3D view would enable the viewer to better distinguish between artefacts and representative information. Standardization in medical imaging techniques aims to make the data comparable between different investigations and patients. It is already used in different medical applications for example in magnetic resonance imaging (MRI). With this work, we introduce a novel approach to provide a standardization method for 3D ultrasound screenings of fetuses. The approach consists of six steps and is called ''The Vitruvian Baby''. The input is the data of the 3D ultrasound screening of a fetus and the output shows the fetus in a standardized T-pose in which measurements can be made. The precision of standardized measurements compared to the gold standard is for the finger to finger span 91,08% and for the head to toe measurement 94,05%.
Improving the Scalability of Interactive Visualization Systems for Exploring Threaded Conversations
(The Eurographics Association, 2019) McNutt, Andrew M.; Kindlmann, Gordon L; Madeiras Pereira, João and Raidou, Renata Georgia
Large threaded conversations, such as those found on YCombinator's HackerNews, are typically presented in a way that shows individual comments clearly, but can obscure larger trends or patterns within the conversational corpus. Previous research has addressed this problem through graphical-overviews and NLP-generated summaries. These efforts have generally assumed a particular (and modest) data size, which limits their utility for large or deeply-nested conversations, and often require non-trivial offline processing time, which makes them impractical for day-to-day usage. We describe here Forum Explorer, a Chrome extension that combines and expands upon prior art through a collection of techniques that enable this type of representation to handle wider ranges of data in real time. Materials for this project are available at https://osf.io/nrhqw/.
Interactive Hierarchical Quote Extraction for Content Insights
(The Eurographics Association, 2019) Knittel, Johannes; Koch, Steffen; Ertl, Thomas; Madeiras Pereira, João and Raidou, Renata Georgia
This work presents a new approach to visually summarize large micro-document collections such as tweets. We extract frequent patterns of phrases as shortened quotes to present analysts an overview of popular snippets and statements, enabling more specific insights into large text collections compared to keyword-based visualizations. In our hierarchical structure, each quote can be the starting point to extract more fine-grained patterns on a subset of sentences that match the parent pattern. We show that our approach is scalable by applying it to millions of tweets.
Model-Agnostic Visual Explanation of Machine Learning Models Based on Heat Map
(The Eurographics Association, 2019) Sawada, Shoko; Toyoda, Masashi; Madeiras Pereira, João and Raidou, Renata Georgia
It is essential to assess the trustworthiness of the machine learning models when deploying them to real-world applications, such as healthcare and risk management, in which domain experts need to make critical decisions. We propose a visual analysis method for supporting domain experts to understand and improve a given machine learning model based on a model-agnostic interpretable explanation technique. Our visualization method provides a heat map matrix as an overview of the model explanation and helps efficient feature engineering and data cleaning. We demonstrate our visualization method on a text classification task.
Visual Biofeedback for Upper Limb Compensatory Movements: A Preliminary Study Next to Rehabilitation Professionals
(The Eurographics Association, 2019) Simões Lopes, Daniel; Faria, Afonso; Barriga, Ana; Caneira, Sérgio; Baptista, Filomena; Matos, Catarina; Neves, Ana F.; Prates, Leonor; Pereira, Ângela Maria; Nicolau, Hugo; Madeiras Pereira, João and Raidou, Renata Georgia
In this preliminary study, we propose visual biofeedback techniques for representing compensatory movements that are commonly found in upper limb rehabilitation exercises. Here, visual biofeedback is represented by stick figures adorned with different graphical elements to highlight abnormal motor patterns. We explore 4 visual biofeedback techniques for analysing movements designed for neuromotor rehabilitation of the upper limb. Co-design sessions were conducted next to 5 rehabilitation professionals. The resulting visual designs were then evaluated by 3 other physiotherapists, each evaluated the visual biofeedback of two types of compensatory movements: arm elevation-flexion and cephalic tilt. Results indicate that although there is a preferred technique, participants suggested to design a novel representation that should incorporate features from different sources, thus designing a hybrid visual biofeedback technique.
A Multi-Scale Animation Framework for Biological Fibrous Structures
(The Eurographics Association, 2019) Klein, Tobias; Viola, Ivan; Mindek, Peter; Madeiras Pereira, João and Raidou, Renata Georgia
Fibrous structures are ubiquitous in cell biology and play essential structural and functional roles in the life cycle of a cell. They are long polymers, such as DNA carrying genetic information, or filaments forming the cytoskeleton, crucial for cell division and maintaining the cell shape. In order to disseminate new findings of such structures to peers or a general audience, animated 3D models of these structures have to be created, as they are too small to be imaged with microscopes. However, this is a tedious task carried out by scientific animators, who manually create expressive visual representations of biological phenomena. In this work, we present a novel concept which simplifies the process of animating multi-scale procedural models of biological fibrous structures. In contrast with existing work in the domain of molecular visualization, our approach can also capture dynamics, which are important to show when communicating biological processes.
Real-Time Gaze Mapping in Virtual Environments
(The Eurographics Association, 2019) Kraus, Matthias; Kilian, Timon Urs; Fuchs, Johannes; Madeiras Pereira, João and Raidou, Renata Georgia
In order to analyze an analyst's behavior in an immersive environment, his or her eye movements can be monitored using eye trackers. Hereby, points of individual interest can be objectively identified, for instance, to assess the usability and intuitiveness of a framework. However, this technique can be used not only as a post-event analysis tool but also to assist an ongoing exploration of a virtual environment. With this poster, we present a technique that allows a real-time gaze map creation which supports the immersed analyst by providing real-time feedback on the user's own activity. In our approach, all surfaces in the virtual environment are enwrapped with a mesh structure. The grid structure recognizes when a user drifts with his or her eyes above it and increments weights of activated node points. This allows highlighting areas that have been observed, but also those that have not been observed - also when they are occluded by other objects or surfaces. We tested our technique in a preliminary qualitative expert study and received helpful feedback for further improvements.
Supporting Volumetric Data Visualization and Analysis by Combining Augmented Reality Visuals with Multi-Touch Input
(The Eurographics Association, 2019) Sereno, Mickael; Besançon, Lonni; Isenberg, Tobias; Madeiras Pereira, João and Raidou, Renata Georgia
We present our vision and steps toward implementing a collaborative 3D data analysis tool based on wearable Augmented Reality Head-Mounted Display (AR-HMD). We envision a hybrid environment which combines such AR-HMD devices with multi-touch devices to allow multiple collaborators to visualize and jointly discuss volumetric datasets. The multi-touch devices permit users to manipulate the datasets' states, either publicly or privately, while also proposing means for 2D input for, e. g., drawing annotations. The headsets allow each user to visualize the dataset in physically correct perspective stereoscopy, either in public or in their private space. The public space is viewed by all, with modifications shared in real-time. The private space allows each user to investigate the same dataset with their own preferences, for instance, with a different clipping range. The user can later decide to merge their private space with the public one or cancel the changes.
A Systematic Review of Online Bitcoin Visualizations
(The Eurographics Association, 2019) Tovanich, Natkamon; HEULOT, Nicolas; Fekete, Jean-Daniel; Isenberg, Petra; Madeiras Pereira, João and Raidou, Renata Georgia
We contribute a systematic review of online visualizations of the Bitcoin blockchain. Bitcoin is currently the most active cryptocurrency with the largest market share among other cryptocurrencies. It has attracted a large user base and more and more businesses are beginning to accept Bitcoin as payment. While there are still relatively few visualization research papers on Bitcoin, a growing number of online tools visualize data about the Bitcoin blockchain. We provide a first systematic assessment of these online tools to inform future research efforts on making the Bitcoin blockchain more accessible.
Comparative Analysis with Heightmaps in Virtual Reality Environments
(The Eurographics Association, 2019) Kraus, Matthias; Buchmüller, Juri; Schweitzer, Daniel; Keim, Daniel A.; Fuchs, Johannes; Madeiras Pereira, João and Raidou, Renata Georgia
3D heightmaps can be considered as an extension of heatmaps using the third dimension to encode the respective value by height, often in addition to encoding it by color. In contrast to 2D heatmaps, 3D heightmaps allow a superposition without aggregation. However, they also have the general disadvantages of 3D visualizations, such as occlusion and perceptual distortion. Previous research has revealed various advantages of stereoscopic displays and virtual reality (VR) in the context of 3D visualizations, for example, concerning memorization, depth perception, and collaboration. In this paper, we present a novel technique to compare heightmaps in VR by introducing a multi-layer approach of stacked heightmaps. We demonstrate the applicability and usefulness of our method by means of a use case on comparative crime data analysis.
Visualization of Spatial and Temporal Pollution Exposure through a Temporal Ordered Spacial Matrix
(The Eurographics Association, 2019) Wootton, Dylan R.; Goffin, Pascal; Meyer, Miriah; Madeiras Pereira, João and Raidou, Renata Georgia
Poor air quality impacts public health due to increased incidences of serious health conditions; yet the data obtained about pollution is recorded at coarse resolution. Such resolution fails to capture known microclimates of air pollution and can pose a health hazard to individuals of sensitive groups when outdoors. AQ Route Explorer is a tool that visualizes spatial and temporal pollution trends for a given path of interest, helping people to make more informed personal health decisions.
Text Visualization Revisited: The State of the Field in 2019
(The Eurographics Association, 2019) Kucher, Kostiantyn; Kerren, Andreas; Madeiras Pereira, João and Raidou, Renata Georgia
Text and document data visualization is an important research field within information visualization and visual analytics with multiple application domains including digital humanities and social media, for instance. During the past five years, we have been collecting text visualization techniques described in peer-reviewed literature, categorizing them according to a detailed categorization schema, and providing the resulting manually curated collection in an online survey browser. In this poster paper, we present the updated results of analyses of this data set as of spring 2019. Compared to the recent surveys and meta-analyses that mainly focus on particular aspects and problems related to text visualization, our results provide an overview of the current state of the text visualization field and the respective research community in general.
Towards a WHAT-WHY-HOW Taxonomy of Trajectories in Visualization Research
(The Eurographics Association, 2019) Allain, Kevin; Turkay, Cagatay; dykes, jason; Madeiras Pereira, João and Raidou, Renata Georgia
Effective analysis of movement often requires a comprehensive approach where computational and visual methods are combined to address a wide variety of tasks involving movers with diverse characteristics. In order to help the process of designing effective methods for a wide range of movement analysis cases, we develop a provisional taxonomy that links what Brehmer et al. [BM13] term statements of WHY-WHAT-HOW with tasks, types of movers, context and methods used to compute or visualize data. Within this document we present the origin of this taxonomy, the process we followed to populate it, discuss the novel categories within it, and finally use it to explore relationships between elements of trajectory analysis. Our main contribution is to provide a new means of connecting elements of WHY-WHAT-HOW when analysing trajectories.
Visual Analysis of Aluminum Production Data with Tightly Linked Views
(The Eurographics Association, 2019) Jekic, Nikolina; Mutlu, Belgin; Faschang, Mario; Neubert, Steffen; Thalmann, Stefan; Schreck, Tobias; Madeiras Pereira, João and Raidou, Renata Georgia
Monitoring, analyzing and determining the production quality in a complex and long-running process such as in the aluminum production is a challenging task. We aim to support production data exploration in the aluminum industry. To this end, we developed the first version of the interactive visual analytics tool ADAM. The main aspect of concern is product quality, which is obtained from the quality inspection of aluminum plates at the end of the production process. A set of tightly linked views of production parameters with cross-filtering capability support the inspection of factors possibly influencing the product quality. ADAM allows highly responsive forward and backward search in the quality and production parameter space, leading to an understanding of important parameters, and supporting production planning and process improvement. Our approach was designed in an iterative development cycle guided by domain requirements from a major aluminum producer. We introduce the domain problem, propose a visual analytics design to support the problem, and demonstrate by application to real production data the usefulness and possible insights which can be obtained.
CrossWidget: a D3.js Plugin to Support Multiple Scented Cross Filtering Activities
(The Eurographics Association, 2019) Blasilli, Graziano; Lenti, Simone; Palleschi, Alessia; Madeiras Pereira, João and Raidou, Renata Georgia
Filtering is one of the basic interaction techniques in information visualization. To better support a filtering activity, the visualization should be enriched by selectors composed of different visual elements and data distribution (i.e., scented widgets), in order to improve the navigation of information spaces and the comprehension of the filtering result. Thus, we propose CrossWidget, an open source JavaScript D3.js plugin, aimed at supporting cross filtering activities. To better perform multiple selections, to understand their result, and to better investigate the relationships among attributes of the dataset, this plugin proposes a set of ''multiple scented widgets'' that can be easily customized and integrated into Web visualization systems.
A Visual Encoding System for Comparative Exploration of Magnetic Resonance Spectroscopy Data
(The Eurographics Association, 2019) Garrison, Laura; Vasicek, Jakub; Grüner, Renate; Smit, Noeska Natasja; Bruckner, Stefan; Madeiras Pereira, João and Raidou, Renata Georgia
Magnetic resonance spectroscopy (MRS) allows for assessment of tissue metabolite characteristics used often for early detection and treatment evaluation of intracranial pathologies. In particular, this non-invasive technique is important in the study of metabolic changes related to brain tumors, strokes, seizure disorders, Alzheimer's disease, depression, as well as other diseases and disorders affecting the brain. However, meaningful variations in ratios of tissue metabolites within a sample area are difficult to capture with current visualization tools. Furthermore, the learning curve to interpretation is steep and limits the more widespread adoption of MRS in clinical practice. In this work we present a novel, tiered visual encoding system for multidimensional MRS data to aid in the visual exploration of metabolite concentration ratios. Our system was developed in close collaboration with domain experts including detailed data and task analyses. This visual encoding system was subsequently realized as part of an interactive insight-generation tool for rapid exploration and comparison of metabolite ratio variation for deeper insights to these complex data.
A Descriptive Framework for Stories of Algorithms
(The Eurographics Association, 2019) Liem, Johannes; Henkin, Rafael; Wood, Jo; Turkay, Cagatay; Madeiras Pereira, João and Raidou, Renata Georgia
Data-driven stories, widely used in journalism and scientific communication, match well with the recent focus on interpretable machine learning and AI explainability. Current technologies allow authors to break away from narratives that reflect traditional analytical workflows. To support designing such types of stories, we introduce a descriptive framework that helps identifying narrative patterns and other characteristics of algorithm-related stories. We describe the design space within the framework and demonstrate how to apply to an example of an algorithm-centered story, discussing potential future steps.
Visual Mapping of Nobel Prizes
(The Eurographics Association, 2019) Aparicio, Sofia; Lousada, Rodrigo; Pires, Pedro; Gonçalves, Daniel; Ferreira, Alfredo; Madeiras Pereira, João and Raidou, Renata Georgia
Nobel Prizes tendencies can be an essential indicator of country development. The main objective of this work is to enable the visualization of the evolution of the chemistry and physics Nobel Prizes according to spatial, temporal, and relationship dimensions. To validate the conceptual proposal, we prototyped a visual dashboard that considers elements such as geography, age, and top-winning universities, throughout the years. While still work in progress, the proposed visualization allows the observation of several factors regarding Nobel Prize winners, namely some imbalances in gender, geographic distribution, and universities. We believe that further development will provide more valuable insights.

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