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Conference stringclasses 6 values	Year int64 1.99k 2.03k	Title stringlengths 8 187	DOI stringlengths 16 32	Abstract stringlengths 128 7.15k ⌀	Accessible bool 2 classes	Early bool 2 classes	AuthorNames-Deduped listlengths 1 29	Award listlengths 0 2	Resources listlengths 0 5	ResourceLinks listlengths 0 10
CHI	2,016	SnapToReality: Aligning Augmented Reality to the Real World	10.1145/2858036.2858250	Augmented Reality (AR) applications may require the precise alignment of virtual objects to the real world. We propose automatic alignment of virtual objects to physical constraints calculated from the real world in real time ("snapping to reality"). We demonstrate SnapToReality alignment techniques that allow users to...	false	false	[ "Benjamin Nuernberger", "Eyal Ofek", "Hrvoje Benko", "Andrew D. Wilson" ]	[]	[]	[]
CHI	2,016	Supporting Comment Moderators in Identifying High Quality Online News Comments	10.1145/2858036.2858389	Online comments submitted by readers of news articles can provide valuable feedback and critique, personal views and perspectives, and opportunities for discussion. The varying quality of these comments necessitates that publishers remove the low quality ones, but there is also a growing awareness that by identifying a...	false	false	[ "Deokgun Park 0001", "Simranjit Singh Sachar", "Nicholas Diakopoulos", "Niklas Elmqvist" ]	[]	[]	[]
CHI	2,016	Taking 5: Work-Breaks, Productivity, and Opportunities for Personal Informatics for Knowledge Workers	10.1145/2858036.2858066	Taking breaks from work is an essential and universal practice. In this paper, we extend current research on productivity in the workplace to consider the break habits of knowledge workers and explore opportunities of break logging for personal informatics. We report on three studies. Through a survey of 147 U.S.-based...	false	false	[ "Daniel A. Epstein", "Daniel Avrahami", "Jacob T. Biehl" ]	[]	[]	[]
CHI	2,016	Telling Stories about Dynamic Networks with Graph Comics	10.1145/2858036.2858387	In this paper, we explore graph comics as a medium to communicate changes in dynamic networks. While previous re- search has focused on visualizing dynamic networks for data exploration, we want to see if we can take advantage of the visual expressiveness and familiarity of comics to present and explain temporal change...	false	false	[ "Benjamin Bach", "Natalie Kerracher", "Kyle Wm. Hall", "Sheelagh Carpendale", "Jessie Kennedy", "Nathalie Henry Riche" ]	[]	[]	[]
CHI	2,016	The Effect of Richer Visualizations on Code Comprehension	10.1145/2858036.2858372	Researchers often introduce visual tools to programming environments in order to facilitate program comprehension, reduce navigation times, and help developers answer difficult questions. Syntax highlighting is the main visual lens through which developers perceive their code, and yet its effects and the effects of ric...	false	false	[ "Dimitar Asenov", "Otmar Hilliges", "Peter Müller 0001" ]	[]	[]	[]
CHI	2,016	Unsupervised Clickstream Clustering for User Behavior Analysis	10.1145/2858036.2858107	Online services are increasingly dependent on user participation. Whether it's online social networks or crowdsourcing services, understanding user behavior is important yet challenging. In this paper, we build an unsupervised system to capture dominating user behaviors from clickstream data (traces of users' click eve...	false	false	[ "Gang Wang 0011", "Xinyi Zhang", "Shiliang Tang", "Haitao Zheng 0001", "Ben Y. Zhao" ]	[]	[]	[]
CHI	2,016	UX Heatmaps: Mapping User Experience on Visual Interfaces	10.1145/2858036.2858271	In this paper, we present an off-the-shelf UX evaluation tool which contextualizes users' physiological and behavioral signals while interacting with a system. The proposed tool triangulates users' gaze data with inferred users' cognitive and emotional states to produce user experience (UX) heatmaps, which show where u...	false	false	[ "Vanessa Georges", "François Courtemanche", "Sylvain Senecal", "Thierry Baccino", "Marc Fredette", "Pierre-Majorique Léger" ]	[]	[]	[]
CHI	2,016	When (ish) is My Bus?: User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems	10.1145/2858036.2858558	Users often rely on realtime predictions in everyday contexts like riding the bus, but may not grasp that such predictions are subject to uncertainty. Existing uncertainty visualizations may not align with user needs or how they naturally reason about probability. We present a novel mobile interface design and visualiz...	false	false	[ "Matthew Kay 0001", "Tara Kola", "Jessica R. Hullman", "Sean A. Munson" ]	[]	[]	[]
VAST	2,015	3D Regression Heat Map Analysis of Population Study Data	10.1109/TVCG.2015.2468291	Epidemiological studies comprise heterogeneous data about a subject group to define disease-specific risk factors. These data contain information (features) about a subject's lifestyle, medical status as well as medical image data. Statistical regression analysis is used to evaluate these features and to identify featu...	false	false	[ "Paul Klemm", "Kai Lawonn", "Sylvia Saalfeld", "Uli Niemann", "Katrin Hegenscheid", "Henry Völzke", "Bernhard Preim" ]	[]	[]	[]
VAST	2,015	A Case Study Using Visualization Interaction Logs and Insight Metrics to Understand How Analysts Arrive at Insights	10.1109/TVCG.2015.2467613	We present results from an experiment aimed at using logs of interactions with a visual analytics application to better understand how interactions lead to insight generation. We performed an insight-based user study of a visual analytics application and ran post hoc quantitative analyses of participants' measured insi...	false	false	[ "Hua Guo", "Steven R. Gomez", "Caroline Ziemkiewicz", "David H. Laidlaw" ]	[ "HM" ]	[]	[]
VAST	2,015	A software developer's guide to informal evaluation of Visual Analytics environments using VAST Challenge information	10.1109/VAST.2015.7347674	The VAST Challenge has been a popular venue for academic and industry participants for over ten years. Many participants comment that the majority of their time in preparing VAST Challenge entries is discovering elements in their software environments that need to be redesigned in order to solve the given task. Fortuna...	false	false	[ "Kristin A. Cook", "Jean Scholtz", "Mark A. Whiting" ]	[]	[]	[]
VAST	2,015	A System for visual exploration of caution spots from vehicle recorder data	10.1109/VAST.2015.7347677	It is vital for the transportation industry, which performs most of its work by automobiles, to reduce its accident rate. This paper proposes a 3D visual interaction method for exploring caution areas from large-scale vehicle recorder data. Our method provides (i) a flexible filtering interface for driving operations s...	false	false	[ "Masahiko Itoh", "Daisaku Yokoyama", "Masashi Toyoda", "Masaru Kitsuregawa" ]	[]	[]	[]
VAST	2,015	An Uncertainty-Aware Approach for Exploratory Microblog Retrieval	10.1109/TVCG.2015.2467554	Although there has been a great deal of interest in analyzing customer opinions and breaking news in microblogs, progress has been hampered by the lack of an effective mechanism to discover and retrieve data of interest from microblogs. To address this problem, we have developed an uncertainty-aware visual analytics ap...	false	false	[ "Mengchen Liu", "Shixia Liu", "Xizhou Zhu", "Qinying Liao", "Furu Wei", "Shimei Pan" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1512.04038v1", "icon": "paper" } ]
VAST	2,015	BiSet: Semantic Edge Bundling with Biclusters for Sensemaking	10.1109/TVCG.2015.2467813	Identifying coordinated relationships is an important task in data analytics. For example, an intelligence analyst might want to discover three suspicious people who all visited the same four cities. Existing techniques that display individual relationships, such as between lists of entities, require repetitious manual...	false	false	[ "Maoyuan Sun", "Peng Mi", "Chris North 0001", "Naren Ramakrishnan" ]	[]	[]	[]
VAST	2,015	Characterizing Provenance in Visualization and Data Analysis: An Organizational Framework of Provenance Types and Purposes	10.1109/TVCG.2015.2467551	While the primary goal of visual analytics research is to improve the quality of insights and findings, a substantial amount of research in provenance has focused on the history of changes and advances throughout the analysis process. The term, provenance, has been used in a variety of ways to describe different types ...	false	false	[ "Eric D. Ragan", "Alex Endert", "Jibonananda Sanyal", "Jian Chen 0006" ]	[]	[]	[]
VAST	2,015	CiteRivers: Visual Analytics of Citation Patterns	10.1109/TVCG.2015.2467621	The exploration and analysis of scientific literature collections is an important task for effective knowledge management. Past interest in such document sets has spurred the development of numerous visualization approaches for their interactive analysis. They either focus on the textual content of publications, or on ...	false	false	[ "Florian Heimerl", "Qi Han 0006", "Steffen Koch 0001", "Thomas Ertl" ]	[]	[]	[]
VAST	2,015	Collaborative visual analysis with RCloud	10.1109/VAST.2015.7347627	Consider the emerging role of data science teams embedded in larger organizations. Individual analysts work on loosely related problems, and must share their findings with each other and the organization at large, moving results from exploratory data analyses (EDA) into automated visualizations, diagnostics and reports...	false	false	[ "Stephen C. North", "Carlos Scheidegger", "Simon Urbanek", "Gordon Woodhull" ]	[]	[]	[]
VAST	2,015	Comparative visual analysis of vector field ensembles	10.1109/VAST.2015.7347634	We present a new visual analysis approach to support the comparative exploration of 2D vector-valued ensemble fields. Our approach enables the user to quickly identify the most similar groups of ensemble members, as well as the locations where the variation among the members is high. We further provide means to visuali...	false	false	[ "Mihaela Jarema", "Ismail Demir", "Johannes Kehrer", "Rüdiger Westermann" ]	[]	[]	[]
VAST	2,015	DemographicVis: Analyzing demographic information based on user generated content	10.1109/VAST.2015.7347631	The wide-spread of social media provides unprecedented sources of written language that can be used to model and infer online demographics. In this paper, we introduce a novel visual text analytics system, DemographicVis, to aid interactive analysis of such demographic information based on user-generated content. Our a...	false	false	[ "Wenwen Dou", "Isaac Cho", "Omar ElTayeby", "Jaegul Choo", "Derek Xiaoyu Wang", "William Ribarsky" ]	[]	[]	[]
VAST	2,015	EgoNetCloud: Event-based egocentric dynamic network visualization	10.1109/VAST.2015.7347632	Event-based egocentric dynamic networks are an important class of networks widely seen in many domains. In this paper, we present a visual analytics approach for these networks by combining data-driven network simplifications with a novel visualization design - EgoNetCloud. In particular, an integrated data processing ...	false	false	[ "Qingsong Liu", "Yifan Hu 0001", "Lei Shi 0002", "Xinzhu Mu", "Yutao Zhang", "Jie Tang 0001" ]	[]	[]	[]
VAST	2,015	egoSlider: Visual Analysis of Egocentric Network Evolution	10.1109/TVCG.2015.2468151	Ego-network, which represents relationships between a specific individual, i.e., the ego, and people connected to it, i.e., alters, is a critical target to study in social network analysis. Evolutionary patterns of ego-networks along time provide huge insights to many domains such as sociology, anthropology, and psycho...	false	false	[ "Yanhong Wu", "Naveen Pitipornvivat", "Jian Zhao 0010", "Sixiao Yang", "Guowei Huang", "Huamin Qu" ]	[]	[]	[]
VAST	2,015	Evolution inspector: Interactive visual analysis for evolutionary molecular design	10.1109/VAST.2015.7347687	De novo design is a computational-chemistry method, where a computer program utilizes an optimization method, in our case an evolutionary algorithm, to design compounds with desired chemical properties. The optimization is performed with respect to a quantity called fitness, defined by the chemists. We present a tool t...	false	false	[ "Veronika Soltészová", "Marco Foscato", "Sondre H. Eliasson", "Vidar R. Jensen" ]	[]	[]	[]
VAST	2,015	Exploring Evolving Media Discourse Through Event Cueing	10.1109/TVCG.2015.2467991	Online news, microblogs and other media documents all contain valuable insight regarding events and responses to events. Underlying these documents is the concept of framing, a process in which communicators act (consciously or unconsciously) to construct a point of view that encourages facts to be interpreted by other...	false	false	[ "Yafeng Lu", "Michael Steptoe", "Sarah Burke", "Hong Wang", "Jiun-Yi Tsai", "Hasan Davulcu", "Douglas C. Montgomery", "Steven R. Corman", "Ross Maciejewski" ]	[]	[]	[]
VAST	2,015	FeatureInsight: Visual support for error-driven feature ideation in text classification	10.1109/VAST.2015.7347637	Machine learning requires an effective combination of data, features, and algorithms. While many tools exist for working with machine learning data and algorithms, support for thinking of new features, or feature ideation, remains poor. In this paper, we investigate two general approaches to support feature ideation: v...	false	false	[ "Michael Brooks", "Saleema Amershi", "Bongshin Lee", "Steven Mark Drucker", "Ashish Kapoor", "Patrice Y. Simard" ]	[]	[]	[]
VAST	2,015	Four considerations for supporting visual analysis in display ecologies	10.1109/VAST.2015.7347628	The current proliferation of large displays and mobile devices presents a number of exciting opportunities for visual analytics and information visualization. The display ecology enables multiple displays to function in concert within a broader technological environment to accomplish visual analysis tasks. Based on a c...	false	false	[ "Haeyong Chung", "Chris North 0001", "Sarang Joshi", "Jian Chen 0006" ]	[]	[]	[]
VAST	2,015	FPSSeer: Visual analysis of game frame rate data	10.1109/VAST.2015.7347633	The rate at which frames are rendered in a computer game directly influences both game playability and enjoyability. Players frequently have to deal with the trade-off between high frame rates and good resolution. Analyzing patterns in frame rate data and their correlation with the overall game performance is important...	false	false	[ "Quan Li", "Peng Xu", "Huamin Qu" ]	[]	[]	[]
VAST	2,015	HTMVS: Visualizing hierarchical topics and their evolution	10.1109/VAST.2015.7347675	Topic model has been an active research area for many years, it can be used for discovering latent semantics and finding hidden knowledge in unstructured data corpus. In this paper, we investigated the problems in visualizing hierarchical topic and their evolution. The contribution of this paper is threefold, first we ...	false	false	[ "Haoling Dong", "Siliang Tang", "Si Li", "Fei Wu 0001", "Yueting Zhuang" ]	[]	[]	[]
VAST	2,015	Integrating predictive analytics into a spatiotemporal epidemic simulation	10.1109/VAST.2015.7347626	The Epidemic Simulation System (EpiSimS) is a scalable, complex modeling tool for analyzing disease within the United States. Due to its high input dimensionality, time requirements, and resource constraints, simulating over the entire parameter space is unfeasible. One solution is to take a granular sampling of the in...	false	false	[ "Chris Bryan", "Xue Wu", "Susan M. Mniszewski", "Kwan-Liu Ma" ]	[]	[]	[]
VAST	2,015	Interactive semi-automatic categorization for spinel group minerals	10.1109/VAST.2015.7347676	Spinel group minerals are excellent indicators of geological environments (tectonic settings). In 2001, Barnes and Roeder defined a set of contours corresponding to compositional fields for spinel group minerals. Geologists typically use this contours to estimate the tectonic environment where a particular spinel compo...	false	false	[ "Maria Luján Ganuza", "Maria Florencia Gargiulo", "Gabriela Ferracutti", "Silvia Mabel Castro", "Ernesto A. Bjerg", "M. Eduard Gröller", "Kresimir Matkovic" ]	[]	[]	[]
VAST	2,015	Interactive Visual Discovering of Movement Patterns from Sparsely Sampled Geo-tagged Social Media Data	10.1109/TVCG.2015.2467619	Social media data with geotags can be used to track people's movements in their daily lives. By providing both rich text and movement information, visual analysis on social media data can be both interesting and challenging. In contrast to traditional movement data, the sparseness and irregularity of social media data ...	false	false	[ "Siming Chen 0001", "Xiaoru Yuan", "Zhenhuang Wang", "Cong Guo 0004", "Christy Jie Liang", "Zuchao Wang", "Xiaolong Zhang 0001", "Jiawan Zhang" ]	[]	[]	[]
VAST	2,015	Interactive Visual Profiling of Musicians	10.1109/TVCG.2015.2467620	Determining similar objects based upon the features of an object of interest is a common task for visual analytics systems. This process is called profiling, if the object of interest is a person with individual attributes. The profiling of musicians similar to a musician of interest with the aid of visual means became...	false	false	[ "Stefan Jänicke", "Josef Focht", "Gerik Scheuermann" ]	[]	[]	[]
VAST	2,015	Interactive visual steering of hierarchical simulation ensembles	10.1109/VAST.2015.7347635	Multi-level simulation models, i.e., models where different components are simulated using sub-models of varying levels of complexity, belong to the current state-of-the-art in simulation. The existing analysis practice for multi-level simulation results is to manually compare results from different levels of complexit...	false	false	[ "Rainer Splechtna", "Kresimir Matkovic", "Denis Gracanin", "Mario Jelovic", "Helwig Hauser" ]	[]	[]	[]
VAST	2,015	InterAxis: Steering Scatterplot Axes via Observation-Level Interaction	10.1109/TVCG.2015.2467615	Scatterplots are effective visualization techniques for multidimensional data that use two (or three) axes to visualize data items as a point at its corresponding x and y Cartesian coordinates. Typically, each axis is bound to a single data attribute. Interactive exploration occurs by changing the data attributes bound...	false	false	[ "Hannah Kim", "Jaegul Choo", "Haesun Park", "Alex Endert" ]	[]	[]	[]
VAST	2,015	iVizTRANS: Interactive visual learning for home and work place detection from massive public transportation data	10.1109/VAST.2015.7347630	Using transport smart card transaction data to understand the homework dynamics of a city for urban planning is emerging as an alternative to traditional surveys which may be conducted every few years are no longer effective and efficient for the rapidly transforming modern cities. As commuters travel patterns are high...	false	false	[ "Liang Yu", "Wei Wu 0020", "Xiaohui Li 0002", "Guangxia Li", "Wee Siong Ng", "See-Kiong Ng", "Zhongwen Huang", "Anushiya Arunan", "Hui Min Watt" ]	[]	[]	[]
VAST	2,015	LiteVis: Integrated Visualization for Simulation-Based Decision Support in Lighting Design	10.1109/TVCG.2015.2468011	State-of-the-art lighting design is based on physically accurate lighting simulations of scenes such as offices. The simulation results support lighting designers in the creation of lighting configurations, which must meet contradicting customer objectives regarding quality and price while conforming to industry standa...	false	false	[ "Johannes Sorger", "Thomas Ortner", "Christian Luksch", "Michael Schwärzler", "M. Eduard Gröller", "Harald Piringer" ]	[]	[]	[]
VAST	2,015	Mixed-initiative visual analytics using task-driven recommendations	10.1109/VAST.2015.7347625	Visual data analysis is composed of a collection of cognitive actions and tasks to decompose, internalize, and recombine data to produce knowledge and insight. Visual analytic tools provide interactive visual interfaces to data to support discovery and sensemaking tasks, including forming hypotheses, asking questions, ...	false	false	[ "Kristin A. Cook", "Nick Cramer", "David J. Israel", "Michael Wolverton", "Joe Bruce", "Russ Burtner", "Alex Endert" ]	[]	[]	[]
VAST	2,015	MobilityGraphs: Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering	10.1109/TVCG.2015.2468111	Learning more about people mobility is an important task for official decision makers and urban planners. Mobility data sets characterize the variation of the presence of people in different places over time as well as movements (or flows) of people between the places. The analysis of mobility data is challenging due t...	false	false	[ "Tatiana von Landesberger", "Felix Brodkorb", "Philipp Roskosch", "Natalia V. Andrienko", "Gennady L. Andrienko", "Andreas Kerren" ]	[]	[]	[]
VAST	2,015	MotionFlow: Visual Abstraction and Aggregation of Sequential Patterns in Human Motion Tracking Data	10.1109/TVCG.2015.2468292	Pattern analysis of human motions, which is useful in many research areas, requires understanding and comparison of different styles of motion patterns. However, working with human motion tracking data to support such analysis poses great challenges. In this paper, we propose MotionFlow, a visual analytics system that ...	false	false	[ "Sujin Jang", "Niklas Elmqvist", "Karthik Ramani" ]	[]	[]	[]
VAST	2,015	PhenoBlocks: Phenotype Comparison Visualizations	10.1109/TVCG.2015.2467733	The differential diagnosis of hereditary disorders is a challenging task for clinicians due to the heterogeneity of phenotypes that can be observed in patients. Existing clinical tools are often text-based and do not emphasize consistency, completeness, or granularity of phenotype reporting. This can impede clinical di...	false	false	[ "Michael Glueck", "Peter Hamilton", "Fanny Chevalier", "Simon Breslav", "Azam Khan", "Daniel J. Wigdor", "Michael Brudno" ]	[]	[]	[]
VAST	2,015	Reducing Snapshots to Points: A Visual Analytics Approach to Dynamic Network Exploration	10.1109/TVCG.2015.2468078	We propose a visual analytics approach for the exploration and analysis of dynamic networks. We consider snapshots of the network as points in high-dimensional space and project these to two dimensions for visualization and interaction using two juxtaposed views: one for showing a snapshot and one for showing the evolu...	false	false	[ "Stef van den Elzen", "Danny Holten", "Jorik Blaas", "Jarke J. van Wijk" ]	[ "BP", "TT" ]	[]	[]
VAST	2,015	SensePath: Understanding the Sensemaking Process Through Analytic Provenance	10.1109/TVCG.2015.2467611	Sensemaking is described as the process of comprehension, finding meaning and gaining insight from information, producing new knowledge and informing further action. Understanding the sensemaking process allows building effective visual analytics tools to make sense of large and complex datasets. Currently, it is often...	false	false	[ "Phong Hai Nguyen", "Kai Xu 0003", "Ashley Wheat", "B. L. William Wong", "Simon Attfield", "Bob Fields" ]	[]	[]	[]
VAST	2,015	Sequencing of categorical time series	10.1109/VAST.2015.7347684	Exploring and comparing categorical time series and finding temporal patterns are complex tasks in the field of time series data mining. Although different analysis approaches exist, these tasks remain challenging, especially when numerous time series are considered at once. We propose a visual analysis approach that s...	false	false	[ "Christian Richter", "Martin Luboschik", "Martin Röhlig", "Heidrun Schumann" ]	[]	[]	[]
VAST	2,015	StreamVisND: Visualizing relationships in streaming multivariate data	10.1109/VAST.2015.7347673	In streaming acquisitions the data changes over time. ThemeRiver and line charts are common methods to display data over time. However, these methods can only show the values of the variables (or attributes) but not the relationships among them over time. We propose a framework we call StreamVis<sup>ND</sup&gt...	false	false	[ "Shenghui Cheng", "Yue Wang", "Dan Zhang", "Zhifang Jiang", "Klaus Mueller 0001" ]	[]	[]	[]
VAST	2,015	Supporting activity recognition by visual analytics	10.1109/VAST.2015.7347629	Recognizing activities has become increasingly relevant in many application domains, such as security or ambient assisted living. To handle different scenarios, the underlying automated algorithms are configured using multiple input parameters. However, the influence and interplay of these parameters is often not clear...	false	false	[ "Martin Röhlig", "Martin Luboschik", "Frank Krüger 0001", "Thomas Kirste", "Heidrun Schumann", "Markus Bögl", "Bilal Alsallakh", "Silvia Miksch" ]	[]	[]	[]
VAST	2,015	Supporting Iterative Cohort Construction with Visual Temporal Queries	10.1109/TVCG.2015.2467622	Many researchers across diverse disciplines aim to analyze the behavior of cohorts whose behaviors are recorded in large event databases. However, extracting cohorts from databases is a difficult yet important step, often overlooked in many analytical solutions. This is especially true when researchers wish to restrict...	false	false	[ "Josua Krause", "Adam Perer", "Harry Stavropoulos" ]	[]	[]	[]
VAST	2,015	TargetVue: Visual Analysis of Anomalous User Behaviors in Online Communication Systems	10.1109/TVCG.2015.2467196	Users with anomalous behaviors in online communication systems (e.g. email and social medial platforms) are potential threats to society. Automated anomaly detection based on advanced machine learning techniques has been developed to combat this issue; challenges remain, though, due to the difficulty of obtaining prope...	false	false	[ "Nan Cao", "Conglei Shi", "Wan-Yi Sabrina Lin", "Jie Lu", "Yu-Ru Lin", "Ching-Yung Lin" ]	[]	[]	[]
VAST	2,015	Task-Driven Comparison of Topic Models	10.1109/TVCG.2015.2467618	Topic modeling, a method of statistically extracting thematic content from a large collection of texts, is used for a wide variety of tasks within text analysis. Though there are a growing number of tools and techniques for exploring single models, comparisons between models are generally reduced to a small set of nume...	false	false	[ "Eric C. Alexander", "Michael Gleicher" ]	[]	[]	[]
VAST	2,015	Tell me what do you see: Detecting perceptually-separable visual patterns via clustering of image-space features in visualizations	10.1109/VAST.2015.7347683	Visualization helps users infer structures and relationships in the data by encoding information as visual features that can be processed by the human visual-perceptual system. However, users would typically need to expend significant effort to scan and analyze a large number of views before they can begin to recognize...	false	false	[ "Khairi Reda", "Alberto Gonzalez", "Jason Leigh", "Michael E. Papka" ]	[]	[]	[]
VAST	2,015	Temporal MDS Plots for Analysis of Multivariate Data	10.1109/TVCG.2015.2467553	Multivariate time series data can be found in many application domains. Examples include data from computer networks, healthcare, social networks, or financial markets. Often, patterns in such data evolve over time among multiple dimensions and are hard to detect. Dimensionality reduction methods such as PCA and MDS al...	false	false	[ "Dominik Jäckle", "Fabian Fischer 0001", "Tobias Schreck", "Daniel A. Keim" ]	[]	[]	[]
VAST	2,015	The Data Context Map: Fusing Data and Attributes into a Unified Display	10.1109/TVCG.2015.2467552	Numerous methods have been described that allow the visualization of the data matrix. But all suffer from a common problem - observing the data points in the context of the attributes is either impossible or inaccurate. We describe a method that allows these types of comprehensive layouts. We achieve it by combining tw...	false	false	[ "Shenghui Cheng", "Klaus Mueller 0001" ]	[]	[]	[]
VAST	2,015	The Role of Uncertainty, Awareness, and Trust in Visual Analytics	10.1109/TVCG.2015.2467591	Visual analytics supports humans in generating knowledge from large and often complex datasets. Evidence is collected, collated and cross-linked with our existing knowledge. In the process, a myriad of analytical and visualisation techniques are employed to generate a visual representation of the data. These often intr...	false	false	[ "Dominik Sacha", "Hansi Senaratne", "Bum Chul Kwon", "Geoffrey P. Ellis", "Daniel A. Keim" ]	[]	[]	[]
VAST	2,015	The Visual Causality Analyst: An Interactive Interface for Causal Reasoning	10.1109/TVCG.2015.2467931	Uncovering the causal relations that exist among variables in multivariate datasets is one of the ultimate goals in data analytics. Causation is related to correlation but correlation does not imply causation. While a number of casual discovery algorithms have been devised that eliminate spurious correlations from a ne...	false	false	[ "Jun Wang", "Klaus Mueller 0001" ]	[]	[]	[]
VAST	2,015	TimeLineCurator: Interactive Authoring of Visual Timelines from Unstructured Text	10.1109/TVCG.2015.2467531	We present TimeLineCurator, a browser-based authoring tool that automatically extracts event data from temporal references in unstructured text documents using natural language processing and encodes them along a visual timeline. Our goal is to facilitate the timeline creation process for journalists and others who tel...	false	false	[ "Johanna Fulda", "Matthew Brehmer", "Tamara Munzner" ]	[]	[]	[]
VAST	2,015	TimeStitch: Interactive multi-focus cohort discovery and comparison	10.1109/VAST.2015.7347682	Whereas event-based timelines for healthcare enable users to visualize the chronology of events surrounding events of interest, they are often not designed to aid the discovery, construction, or comparison of associated cohorts. We present TimeStitch, a system that helps health researchers discover and understand event...	false	false	[ "Peter J. Polack Jr.", "Shang-Tse Chen", "Minsuk Kahng", "Moushumi Sharmin", "Polo Chau" ]	[]	[]	[]
VAST	2,015	Topicks: Visualizing complex topic models for user comprehension	10.1109/VAST.2015.7347681	The interactive visualization of topic models is a promising approach to summarizing large sets of textual data. Topicks is the working title for a means to visualize topic modelling outputs. Incorporating a radial layout, users can view the relationships between topics, terms and the corpus as a whole. Interacting wit...	false	false	[ "Jessica Peter", "Steve James Szigeti", "Ana Jofre", "Sara Diamond" ]	[]	[]	[]
VAST	2,015	TrajGraph: A Graph-Based Visual Analytics Approach to Studying Urban Network Centralities Using Taxi Trajectory Data	10.1109/TVCG.2015.2467771	We propose TrajGraph, a new visual analytics method, for studying urban mobility patterns by integrating graph modeling and visual analysis with taxi trajectory data. A special graph is created to store and manifest real traffic information recorded by taxi trajectories over city streets. It conveys urban transportatio...	false	false	[ "Xiaoke Huang", "Ye Zhao 0003", "Chao Ma 0023", "Jing Yang 0001", "Xinyue Ye", "Chong Zhang" ]	[]	[]	[]
VAST	2,015	Trending pool: Visual analytics for trending event compositions for time-series categorical log data	10.1109/VAST.2015.7347688	Although many visualization tools provide us plenty of ways to view the data, users can not easily find the trending events and their explanation from the data. In this work, we address the issue by leveraging the real music streaming log data as an example to better understand a million-scale dataset. Trending event e...	false	false	[ "Yi-Chih Tsai", "Liang-Chi Hsieh", "Wen-Feng Cheng", "Yin-Hsi Kuo", "Winston H. Hsu", "Wen-Chin Chen" ]	[]	[]	[]
VAST	2,015	uRank: Visual analytics approach for search result exploration	10.1109/VAST.2015.7347686	uRank is a Web-based tool combining lightweight text analytics and visual methods for topic-wise exploration of document sets. It includes a view summarizing the content of the document set in meaningful terms, a dynamic document ranking view and a detailed view for further inspection of individual documents. Its major...	false	false	[ "Cecilia di Sciascio", "Vedran Sabol", "Eduardo E. Veas" ]	[]	[]	[]
VAST	2,015	Urbane: A 3D framework to support data driven decision making in urban development	10.1109/VAST.2015.7347636	Architects working with developers and city planners typically rely on experience, precedent and data analyzed in isolation when making decisions that impact the character of a city. These decisions are critical in enabling vibrant, sustainable environments but must also negotiate a range of complex political and socia...	false	false	[ "Nivan Ferreira", "Marcos Lage", "Harish Doraiswamy", "Huy T. Vo", "Luc Wilson", "Heidi Werner", "Muchan Park", "Cláudio T. Silva" ]	[]	[]	[]
VAST	2,015	Using visualization and analysis with efficient dimension Reduction to determine underlying factors in hospital inpatient procedure costs	10.1109/VAST.2015.7347680	The Centers for Medicare and Medicaid Services (CMS) has made public a data set showing what hospitals charged and what Medicare paid for the one hundred most common inpatient stays. Here we present the application of Reduced Basis Decomposition (RBD), an efficient novel dimension reduction algorithm for data processin...	false	false	[ "Miriam Perkins", "Yanlai Chen" ]	[]	[]	[]
VAST	2,015	VA2: A Visual Analytics Approach for Evaluating Visual Analytics Applications	10.1109/TVCG.2015.2467871	Evaluation has become a fundamental part of visualization research and researchers have employed many approaches from the field of human-computer interaction like measures of task performance, thinking aloud protocols, and analysis of interaction logs. Recently, eye tracking has also become popular to analyze visual st...	false	false	[ "Tanja Blascheck", "Markus John", "Kuno Kurzhals", "Steffen Koch 0001", "Thomas Ertl" ]	[ "HM" ]	[]	[]
VAST	2,015	VAiRoma: A Visual Analytics System for Making Sense of Places, Times, and Events in Roman History	10.1109/TVCG.2015.2467971	Learning and gaining knowledge of Roman history is an area of interest for students and citizens at large. This is an example of a subject with great sweep (with many interrelated sub-topics over, in this case, a 3,000 year history) that is hard to grasp by any individual and, in its full detail, is not available as a ...	false	false	[ "Isaac Cho", "Wenwen Dou", "Derek Xiaoyu Wang", "Eric Sauda", "William Ribarsky" ]	[]	[]	[]
VAST	2,015	VEEVVIE: Visual Explorer for Empirical Visualization, VR and Interaction Experiments	10.1109/TVCG.2015.2467954	Empirical, hypothesis-driven, experimentation is at the heart of the scientific discovery process and has become commonplace in human-factors related fields. To enable the integration of visual analytics in such experiments, we introduce VEEVVIE, the Visual Explorer for Empirical Visualization, VR and Interaction Exper...	false	false	[ "Charilaos Papadopoulos", "Ievgeniia Gutenko", "Arie E. Kaufman" ]	[]	[]	[]
VAST	2,015	VisOHC: Designing Visual Analytics for Online Health Communities	10.1109/TVCG.2015.2467555	Through online health communities (OHCs), patients and caregivers exchange their illness experiences and strategies for overcoming the illness, and provide emotional support. To facilitate healthy and lively conversations in these communities, their members should be continuously monitored and nurtured by OHC administr...	false	false	[ "Bum Chul Kwon", "Sung-Hee Kim", "Sukwon Lee", "Jaegul Choo", "Jina Huh", "Ji Soo Yi" ]	[]	[]	[]
VAST	2,015	Visual Analysis and Dissemination of Scientific Literature Collections with SurVis	10.1109/TVCG.2015.2467757	Bibliographic data such as collections of scientific articles and citation networks have been studied extensively in information visualization and visual analytics research. Powerful systems have been built to support various types of bibliographic analysis, but they require some training and cannot be used to dissemin...	false	false	[ "Fabian Beck 0001", "Sebastian Koch", "Daniel Weiskopf" ]	[]	[]	[]
VAST	2,015	Visual analysis of route choice behaviour based on GPS trajectories	10.1109/VAST.2015.7347679	There are often multiple routes between regions. Many factors potentially affect driver's route choice, such as expected time cost, length etc. In this work, we present a visual analysis system to explore driver's route choice behaviour based on taxi GPS trajectory data. With interactive trajectory filtering, the syste...	false	false	[ "Min Lu 0002", "Chufan Lai", "Tangzhi Ye", "Christy Jie Liang", "Xiaoru Yuan" ]	[]	[]	[]
VAST	2,015	Visual Analytics for Development and Evaluation of Order Selection Criteria for Autoregressive Processes	10.1109/TVCG.2015.2467612	Order selection of autoregressive processes is an active research topic in time series analysis, and the development and evaluation of automatic order selection criteria remains a challenging task for domain experts. We propose a visual analytics approach, to guide the analysis and development of such criteria. A flexi...	false	false	[ "Thomas Löwe", "Emmy-Charlotte Förster", "Georgia Albuquerque", "Jens-Peter Kreiss", "Marcus A. Magnor" ]	[]	[]	[]
VAST	2,015	Visual Analytics for fraud detection and monitoring	10.1109/VAST.2015.7347678	One of the primary concerns of financial institutions is to guarantee security and legitimacy in their services. Being able to detect and avoid fraudulent schemes also enhances the credibility of these institutions. Currently, fraud detection approaches still lack Visual Analytics techniques. We propose a Visual Analyt...	false	false	[ "Roger A. Leite", "Theresia Gschwandtner", "Silvia Miksch", "Erich Gstrein", "Johannes Kuntner" ]	[]	[]	[]
VAST	2,015	Visual data quality analysis for taxi GPS data	10.1109/VAST.2015.7347689	We present a novel visual analysis method to systematically discover data quality problems in raw taxi GPS data. It combines semi-supervised active learning and interactive visual exploration. It helps analysts interactively discover unknown data quality problems, and automatically extract known problems. We report ana...	false	false	[ "Zuchao Wang", "Xiaoru Yuan", "Tangzhi Ye", "Youfeng Hao", "Siming Chen 0001", "Christy Jie Liang", "Qiusheng Li", "Haiyang Wang", "Yadong Wu" ]	[]	[]	[]
VAST	2,015	Visual Pruner: Visually guided cohort selection for observational studies	10.1109/VAST.2015.7347685	Observational studies are a widely used and challenging class of studies. A key challenge is selecting a study cohort from the available data, or “pruning” the data, in a way that produces both sufficient balance in pre-treatment covariates and an easily described cohort from which results can be generalized. Even with...	false	false	[ "Lauren R. Samuels", "Robert A. Greevy Jr." ]	[]	[]	[]
VAST	2,015	Visual scalability of spatial ensemble uncertainty	10.1109/VAST.2015.7347671	Weather Research and Forecasting (WRF) models simulate weather conditions by generating 2D numerical weather prediction ensemble members either through perturbing initial conditions or by changing different parameterization schemes, e.g., cumulus and microphysics schemes. These simulations are often used by weather ana...	false	false	[ "Sujan Anreddy", "Song Zhang 0004", "Andrew Mercer 0001", "Jamie L. Dyer", "J. Edward Swan II" ]	[]	[]	[]
VAST	2,015	Visually and statistically guided imputation of missing values in univariate seasonal time series	10.1109/VAST.2015.7347672	Missing values are a problem in many real world applications, for example failing sensor measurements. For further analysis these missing values need to be imputed. Thus, imputation of such missing values is important in a wide range of applications. We propose a visually and statistically guided imputation approach, t...	false	false	[ "Markus Bögl", "Peter Filzmoser", "Theresia Gschwandtner", "Silvia Miksch", "Wolfgang Aigner", "Alexander Rind", "Tim Lammarsch" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "https://www.cvast.tuwien.ac.at/sites/default/files/bibcite/431/PubDat_242014.pdf", "icon": "paper" }, { "name": "Fast Forward", "url": "https://vimeo.com/groups/vis2015previews/videos/136252390", "icon": "video" } ]
VAST	2,015	Visually Exploring Transportation Schedules	10.1109/TVCG.2015.2467592	Public transportation schedules are designed by agencies to optimize service quality under multiple constraints. However, real service usually deviates from the plan. Therefore, transportation analysts need to identify, compare and explain both eventual and systemic performance issues that must be addressed so that bet...	false	false	[ "Cesar Palomo", "Zhan Guo", "Cláudio T. Silva", "Juliana Freire" ]	[]	[]	[]
VAST	2,015	Wavelet-based visualization of time-varying data on graphs	10.1109/VAST.2015.7347624	Visualizing time-varying data defined on the nodes of a graph is a challenging problem that has been faced with different approaches. Although techniques based on aggregation, topology, and topic modeling have proven their usefulness, the visual analysis of smooth and/or abrupt data variations as well as the evolution ...	false	false	[ "Paola Valdivia", "Fabio Dias", "Fabiano Petronetto", "Cláudio T. Silva", "Luis Gustavo Nonato" ]	[]	[]	[]
SciVis	2,015	3D superquadric glyphs for visualizing myocardial motion	10.1109/SciVis.2015.7429504	Various cardiac diseases can be diagnosed by the analysis of myocardial motion. Relevant biomarkers are radial, longitudinal, and rotational velocities of the cardiac muscle computed locally from MR images. We designed a visual encoding that maps these three attributes to glyph shapes according to a barycentric space f...	false	false	[ "Teodora Chitiboi", "Mathias Neugebauer", "Susanne Schnell", "Michael Markl 0001", "Lars Linsen" ]	[]	[]	[]
SciVis	2,015	A bottom-up scheme for user-defined feature exploration in vector field ensembles	10.1109/SciVis.2015.7429510	Most of the existing approaches to visualize vector field ensembles are achieved by visualizing the uncertainty of individual variables from different simulation runs. However, the comparison of the derived feature or user-defined feature, such as the vortex in ensemble flow is also of vital significance since they oft...	false	false	[ "Richen Liu", "Hanqi Guo 0001", "Xiaoru Yuan" ]	[]	[]	[]
SciVis	2,015	A Classification of User Tasks in Visual Analysis of Volume Data	10.1109/SciVis.2015.7429485	Empirical findings from studies in one scientific domain have very limited applicability to other domains, unless we formally establish deeper insights on the generalizability of task types. We present a domain-independent classification of visual analysis tasks with volume visualizations. This taxonomy will help resea...	false	false	[ "Bireswar Laha", "Doug A. Bowman", "David H. Laidlaw", "John J. Socha" ]	[]	[]	[]
SciVis	2,015	A proposed multivariate visualization taxonomy from user data	10.1109/SciVis.2015.7429511	We revisited past user study data on multivariate visualizations, looking at whether image processing measures offer any insight into user performance. While we find statistically significant correlations, some of the greatest insights into user performance came from variables that have strong ties to two key propertie...	false	false	[ "Mark A. Livingston", "Jonathan W. Decker", "Zhuming Ai" ]	[]	[]	[]
SciVis	2,015	A Visual Voting Framework for Weather Forecast Calibration	10.1109/SciVis.2015.7429488	Numerical weather predictions have been widely used for weather forecasting. Many large meteorological centers are producing highly accurate ensemble forecasts routinely to provide effective weather forecast services. However, biases frequently exist in forecast products because of various reasons, such as the imperfec...	false	false	[ "Hongsen Liao", "Yingcai Wu", "Li Chen", "Thomas M. Hamill", "Yunhai Wang", "Kan Dai", "Hui Zhang 0051", "Wei Chen 0001" ]	[]	[]	[]
SciVis	2,015	Accurate Interactive Visualization of Large Deformations and Variability in Biomedical Image Ensembles	10.1109/TVCG.2015.2467198	Large image deformations pose a challenging problem for the visualization and statistical analysis of 3D image ensembles which have a multitude of applications in biology and medicine. Simple linear interpolation in the tangent space of the ensemble introduces artifactual anatomical structures that hamper the applicati...	false	false	[ "Max Hermann", "Anja C. Schunke", "Thomas Schultz 0001", "Reinhard Klein" ]	[]	[]	[]
SciVis	2,015	Adaptive Multilinear Tensor Product Wavelets	10.1109/TVCG.2015.2467412	Many foundational visualization techniques including isosurfacing, direct volume rendering and texture mapping rely on piecewise multilinear interpolation over the cells of a mesh. However, there has not been much focus within the visualization community on techniques that efficiently generate and encode globally conti...	false	false	[ "Kenneth Weiss 0001", "Peter Lindstrom 0001" ]	[]	[]	[]
SciVis	2,015	An evaluation of three methods for visualizing uncertainty in architecture and archaeology	10.1109/SciVis.2015.7429507	This project explores the representation of uncertainty in visualizations for archaeological research and provides insights obtained from user feedback. Our 3D models brought together information from standing architecture and excavated remains, surveyed plans, ground penetrating radar (GPR) data from the Carthusian mo...	false	false	[ "Scott Houde", "Sheila Bonde", "David H. Laidlaw" ]	[]	[]	[]
SciVis	2,015	AnimoAminoMiner: Exploration of Protein Tunnels and their Properties in Molecular Dynamics	10.1109/TVCG.2015.2467434	In this paper we propose a novel method for the interactive exploration of protein tunnels. The basic principle of our approach is that we entirely abstract from the 3D/4D space the simulated phenomenon is embedded in. A complex 3D structure and its curvature information is represented only by a straightened tunnel cen...	false	false	[ "Jan Byska", "Mathieu Le Muzic", "M. Eduard Gröller", "Ivan Viola", "Barbora Kozlíková" ]	[]	[]	[]
SciVis	2,015	Anisotropic Ambient Volume Shading	10.1109/TVCG.2015.2467963	We present a novel method to compute anisotropic shading for direct volume rendering to improve the perception of the orientation and shape of surface-like structures. We determine the scale-aware anisotropy of a shading point by analyzing its ambient region. We sample adjacent points with similar scalar values to perf...	false	false	[ "Marco Ament", "Carsten Dachsbacher" ]	[]	[]	[]
SciVis	2,015	Association Analysis for Visual Exploration of Multivariate Scientific Data Sets	10.1109/TVCG.2015.2467431	The heterogeneity and complexity of multivariate characteristics poses a unique challenge to visual exploration of multivariate scientific data sets, as it requires investigating the usually hidden associations between different variables and specific scalar values to understand the data's multi-faceted properties. In ...	false	false	[ "Xiaotong Liu", "Han-Wei Shen" ]	[]	[]	[]
SciVis	2,015	Auto-Calibration of Multi-Projector Displays with a Single Handheld Camera	10.1109/SciVis.2015.7429493	We present a novel approach that utilizes a simple handheld camera to automatically calibrate multi-projector displays. Most existing studies adopt active structured light patterns to verify the relationship between the camera and the projectors. The utilized camera is typically expensive and requires an elaborate inst...	false	false	[ "Sanghun Park", "Hyunggoog Seo", "Seunghoon Cha", "Jun-yong Noh" ]	[]	[]	[]
SciVis	2,015	Automated visualization workflow for simulation experiments	10.1109/SciVis.2015.7429509	Modeling and simulation is often used to predict future events and plan accordingly. Experiments in this domain often produce thousands of results from individual simulations, based on slightly varying input parameters. Geo-spatial visualizations can be a powerful tool to help health researchers and decision-makers to ...	false	false	[ "Jonathan Leidig", "Santhosh Dharmapuri" ]	[]	[]	[]
SciVis	2,015	CAST: Effective and Efficient User Interaction for Context-Aware Selection in 3D Particle Clouds	10.1109/TVCG.2015.2467202	We present a family of three interactive Context-Aware Selection Techniques (CAST) for the analysis of large 3D particle datasets. For these datasets, spatial selection is an essential prerequisite to many other analysis tasks. Traditionally, such interactive target selection has been particularly challenging when the ...	false	false	[ "Lingyun Yu 0001", "Konstantinos Efstathiou 0001", "Petra Isenberg", "Tobias Isenberg 0001" ]	[]	[]	[]
SciVis	2,015	Cluster Analysis of Vortical Flow in Simulations of Cerebral Aneurysm Hemodynamics	10.1109/TVCG.2015.2467203	Computational fluid dynamic (CFD) simulations of blood flow provide new insights into the hemodynamics of vascular pathologies such as cerebral aneurysms. Understanding the relations between hemodynamics and aneurysm initiation, progression, and risk of rupture is crucial in diagnosis and treatment. Recent studies link...	false	false	[ "Steffen Oeltze-Jafra", "Juan R. Cebral", "Gábor Janiga", "Bernhard Preim" ]	[]	[]	[]
SciVis	2,015	Correlation analysis in multidimensional multivariate time-varying datasets	10.1109/SciVis.2015.7429502	One of the most vital challenges for weather forecasters is the correlation between two geographical phenomena that are distributed continuously in multidimensional multivariate time-varying datasets. In this research, we have visualized the correlation between Pressure and Temperature in the climate datasets. Pearson ...	false	false	[ "Najmeh Abedzadeh" ]	[]	[]	[]
SciVis	2,015	CPU Ray Tracing Large Particle Data with Balanced P-k-d Trees	10.1109/SciVis.2015.7429492	We present a novel approach to rendering large particle data sets from molecular dynamics, astrophysics and other sources. We employ a new data structure adapted from the original balanced k-d tree, which allows for representation of data with trivial or no overhead. In the OSPRay visualization framework, we have devel...	false	false	[ "Ingo Wald", "Aaron Knoll", "Gregory P. Johnson", "Will Usher 0001", "Valerio Pascucci", "Michael E. Papka" ]	[]	[]	[]
SciVis	2,015	Diderot: a Domain-Specific Language for Portable Parallel Scientific Visualization and Image Analysis	10.1109/TVCG.2015.2467449	Many algorithms for scientific visualization and image analysis are rooted in the world of continuous scalar, vector, and tensor fields, but are programmed in low-level languages and libraries that obscure their mathematical foundations. Diderot is a parallel domain-specific language that is designed to bridge this sem...	false	false	[ "Gordon L. Kindlmann", "Charisee Chiw", "Nicholas Seltzer", "Lamont Samuels", "John H. Reppy" ]	[]	[]	[]
SciVis	2,015	Distribution Driven Extraction and Tracking of Features for Time-varying Data Analysis	10.1109/TVCG.2015.2467436	Effective analysis of features in time-varying data is essential in numerous scientific applications. Feature extraction and tracking are two important tasks scientists rely upon to get insights about the dynamic nature of the large scale time-varying data. However, often the complexity of the scientific phenomena only...	false	false	[ "Soumya Dutta", "Han-Wei Shen" ]	[]	[]	[]
SciVis	2,015	Effective Visualization of Temporal Ensembles	10.1109/TVCG.2015.2468093	An ensemble is a collection of related datasets, called members, built from a series of runs of a simulation or an experiment. Ensembles are large, temporal, multidimensional, and multivariate, making them difficult to analyze. Another important challenge is visualizing ensembles that vary both in space and time. Initi...	false	false	[ "Lihua Hao", "Christopher G. Healey", "Steffen A. Bass" ]	[]	[]	[]
SciVis	2,015	Effectiveness of Structured Textures on Dynamically Changing Terrain-like Surfaces	10.1109/TVCG.2015.2467962	Previous perceptual research and human factors studies have identified several effective methods for texturing 3D surfaces to ensure that their curvature is accurately perceived by viewers. However, most of these studies examined the application of these techniques to static surfaces. This paper explores the effectiven...	false	false	[ "Thomas Butkiewicz", "Andrew H. Stevens" ]	[]	[]	[]
SciVis	2,015	Explicit Frequency Control for High-Quality Texture-Based Flow Visualization	10.1109/SciVis.2015.7429490	In this work we propose an effective method for frequency-controlled dense flow visualization derived from a generalization of the Line Integral Convolution (LIC) technique. Our approach consists in considering the spectral properties of the dense flow visualization process as an integral operator defined in a local cu...	false	false	[ "Victor Matvienko", "Jens H. Krüger" ]	[]	[]	[]
SciVis	2,015	Extracting, Tracking, and Visualizing Magnetic Flux Vortices in 3D Complex-Valued Superconductor Simulation Data	10.1109/TVCG.2015.2466838	We propose a method for the vortex extraction and tracking of superconducting magnetic flux vortices for both structured and unstructured mesh data. In the Ginzburg-Landau theory, magnetic flux vortices are well-defined features in a complex-valued order parameter field, and their dynamics determine electromagnetic pro...	false	false	[ "Hanqi Guo 0001", "Carolyn L. Phillips", "Tom Peterka", "Dmitry A. Karpeyev", "Andreas Glatz" ]	[]	[]	[]
SciVis	2,015	Feature-Based Tensor Field Visualization for Fiber Reinforced Polymers	10.1109/SciVis.2015.7429491	Virtual testing is an integral part of modern product development in mechanical engineering. Numerical structure simulations allow the computation of local stresses which are given as tensor fields. For homogeneous materials, the tensor information is usually reduced to a scalar field like the von Mises stress. A mater...	false	false	[ "Valentin Zobel", "Markus Stommel", "Gerik Scheuermann" ]	[]	[]	[]
SciVis	2,015	Gaze Stripes: Image-Based Visualization of Eye Tracking Data	10.1109/TVCG.2015.2468091	We present a new visualization approach for displaying eye tracking data from multiple participants. We aim to show the spatio-temporal data of the gaze points in the context of the underlying image or video stimulus without occlusion. Our technique, denoted as gaze stripes, does not require the explicit definition of ...	false	false	[ "Kuno Kurzhals", "Marcel Hlawatsch", "Florian Heimerl", "Michael Burch", "Thomas Ertl", "Daniel Weiskopf" ]	[]	[]	[]
SciVis	2,015	Glyph-Based Comparative Visualization for Diffusion Tensor Fields	10.1109/TVCG.2015.2467435	Diffusion Tensor Imaging (DTI) is a magnetic resonance imaging modality that enables the in-vivo reconstruction and visualization of fibrous structures. To inspect the local and individual diffusion tensors, glyph-based visualizations are commonly used since they are able to effectively convey full aspects of the diffu...	false	false	[ "Changgong Zhang", "Thomas Schultz 0001", "Kai Lawonn", "Elmar Eisemann", "Anna Vilanova" ]	[]	[]	[]

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