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train · 6.25k rows

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
EuroVis	2,019	Robust Extraction and Simplification of 2D Symmetric Tensor Field Topology	10.1111/cgf.13693	In this work, we propose a controlled simplification strategy for degenerated points in symmetric 2D tensor fields that is based on the topological notion of robustness. Robustness measures the structural stability of the degenerate points with respect to variation in the underlying field. We consider an entire pipelin...	false	false	[ "Jochen Jankowai", "Bei Wang 0001", "Ingrid Hotz" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/k67qg", "icon": "paper" } ]
EuroVis	2,019	Robust Reference Frame Extraction from Unsteady 2D Vector Fields with Convolutional Neural Networks	10.1111/cgf.13689	Robust feature extraction is an integral part of scientific visualization. In unsteady vector field analysis, researchers recently directed their attention towards the computation of near‐steady reference frames for vortex extraction, which is a numerically challenging endeavor. In this paper, we utilize a convolutiona...	false	false	[ "Byungsoo Kim 0001", "Tobias Günther" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1903.10255v1", "icon": "paper" } ]
EuroVis	2,019	Route-Aware Edge Bundling for Visualizing Origin-Destination Trails in Urban Traffic	10.1111/cgf.13712	Origin‐destination (OD) trails describe movements across space. Typical visualizations thereof use either straight lines or plot the actual trajectories. To reduce clutter inherent to visualizing large OD datasets, bundling methods can be used. Yet, bundling OD trails in urban traffic data remains challenging. Two spec...	false	false	[ "Wei Zeng 0004", "Qiaomu Shen", "Yuzhe Jiang", "Alexandru C. Telea" ]	[]	[]	[]
EuroVis	2,019	Scalable Ray Tracing Using the Distributed FrameBuffer	10.1111/cgf.13702	Image‐ and data‐parallel rendering across multiple nodes on high‐performance computing systems is widely used in visualization to provide higher frame rates, support large data sets, and render data in situ. Specifically for in situ visualization, reducing bottlenecks incurred by the visualization and compositing is of...	false	false	[ "Will Usher 0001", "Ingo Wald", "Jefferson Amstutz", "Johannes Günther 0001", "Carson Brownlee", "Valerio Pascucci" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2305.07083v1", "icon": "paper" } ]
EuroVis	2,019	Segmentifier: Interactive Refinement of Clickstream Data	10.1111/cgf.13715	Clickstream data has the potential to provide insights into e‐commerce consumer behavior, but previous techniques fall short of handling the scale and complexity of real‐world datasets because they require relatively clean and small input. We present Segmentifier, a novel visual analytics interface that supports an ite...	false	false	[ "K. Dextras-Romagnino", "Tamara Munzner" ]	[]	[]	[]
EuroVis	2,019	State-of-the-art in Multi-Light Image Collections for Surface Visualization and Analysis	10.1111/cgf.13732	Multi‐Light Image Collections (MLICs), i.e., stacks of photos of a scene acquired with a fixed viewpoint and a varying surface illumination, provide large amounts of visual and geometric information. In this survey, we provide an up‐to‐date integrative view of MLICs as a mean to gain insight on objects through the anal...	false	false	[ "Ruggero Pintus", "Tinsae Dulecha", "Irina Ciortan", "Enrico Gobbetti", "Andrea Giachetti 0001" ]	[]	[]	[]
EuroVis	2,019	State-of-the-Art Report: Visual Computing in Radiation Therapy Planning	10.1111/cgf.13726	Radiation therapy (RT) is one of the major curative approaches for cancer. It is a complex and risky treatment approach, which requires precise planning, prior to the administration of the treatment. Visual Computing (VC) is a fundamental component of RT planning, providing solutions in all parts of the process—from im...	false	false	[ "Matthias Schlachter", "Renata G. Raidou", "Ludvig P. Muren", "Bernhard Preim", "Paul Martin Putora", "Katja Bühler" ]	[]	[]	[]
EuroVis	2,019	SurgeryCuts: Embedding Additional Information in Maps without Occluding Features	10.1111/cgf.13685	Visualizing contextual information to a map often comes at the expense of overplotting issues. Especially for use cases with relevant map features in the immediate vicinity of an information to add, occlusion of the relevant map context should be avoided. We present SurgeryCuts, a map manipulation technique for the cre...	false	false	[ "Marco Angelini", "Juri Buchmüller", "Daniel A. Keim", "Philipp Meschenmoser", "Giuseppe Santucci" ]	[]	[]	[]
EuroVis	2,019	Tasks, Techniques, and Tools for Genomic Data Visualization	10.1111/cgf.13727	Genomic data visualization is essential for interpretation and hypothesis generation as well as a valuable aid in communicating discoveries. Visual tools bridge the gap between algorithmic approaches and the cognitive skills of investigators. Addressing this need has become crucial in genomics, as biomedical research i...	false	false	[ "Sabrina Nusrat", "Theresa Anisja Harbig", "Nils Gehlenborg" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1905.02853v1", "icon": "paper" } ]
EuroVis	2,019	The Dependent Vectors Operator	10.1111/cgf.13687	In this paper, we generalize the parallel vectors operator due to Peikert and Roth to arbitrary dimension, i.e., to four‐dimensional fields and beyond. Whereas the original operator tested for parallelism of two (derived) 2D or 3D vector fields, we reformulate the concept in terms of linear dependency of sets of vector...	false	false	[ "Lutz Hofmann", "Filip Sadlo" ]	[]	[]	[]
EuroVis	2,019	The State of the Art in Visual Analysis Approaches for Ocean and Atmospheric Datasets	10.1111/cgf.13731	The analysis of ocean and atmospheric datasets offers a unique set of challenges to scientists working in different application areas. These challenges include dealing with extremely large volumes of multidimensional data, supporting interactive visual analysis, ensembles exploration and visualization, exploring model ...	false	false	[ "Shehzad Afzal", "Mohamad Mazen Hittawe", "Sohaib Ghani", "Tahira Jamil", "Omar M. Knio", "Markus Hadwiger", "Kevin I.-J. Ho" ]	[]	[]	[]
EuroVis	2,019	The State of the Art in Visualizing Multivariate Networks	10.1111/cgf.13728	Multivariate networks are made up of nodes and their relationships (links), but also data about those nodes and links as attributes. Most real‐world networks are associated with several attributes, and many analysis tasks depend on analyzing both, relationships and attributes. Visualization of multivariate networks, ho...	false	false	[ "Carolina Nobre", "Miriah D. Meyer", "Marc Streit", "Alexander Lex" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/upbm2", "icon": "paper" } ]
EuroVis	2,019	Topic Tomographies (TopTom): a visual approach to distill information from media streams	10.1111/cgf.13714	In this paper we present Top Tom, a digital platform whose goal is to provide analytical and visual solutions for the exploration of a dynamic corpus of user‐generated messages and media articles, with the aim of i) distilling the information from thousands of documents in a low‐dimensional space of explainable topics,...	false	false	[ "Beatrice Gobbo", "Duilio Balsamo", "Michele Mauri", "Paolo Bajardi", "André Panisson", "Paolo Ciuccarelli" ]	[]	[]	[]
EuroVis	2,019	Toward Understanding Representation Methods in Visualization Recommendations through Scatterplot Construction Tasks	10.1111/cgf.13682	Most visualization recommendation systems predominantly rely on graphical previews to describe alternative visual encodings. However, since InfoVis novices are not familiar with visual representations (e.g., interpretation barriers [GTS10]), novices might have difficulty understanding and choosing recommended visual en...	false	false	[ "Sehi L'Yi", "Youli Chang 0001", "DongHwa Shin", "Jinwook Seo" ]	[]	[]	[]
EuroVis	2,019	Towards Glyphs for Uncertain Symmetric Second-Order Tensors	10.1111/cgf.13692	Measured data often incorporates some amount of uncertainty, which is generally modeled as a distribution of possible samples. In this paper, we consider second‐order symmetric tensors with uncertainty. In the 3D case, this means the tensor data consists of 6 coefficients – uncertainty, however, is encoded by 21 coeffi...	false	false	[ "Tim Gerrits", "Christian Rössl", "Holger Theisel" ]	[]	[]	[]
EuroVis	2,019	V-Awake: A Visual Analytics Approach for Correcting Sleep Predictions from Deep Learning Models	10.1111/cgf.13667	The usage of deep learning models for tagging input data has increased over the past years because of their accuracy and high‐performance. A successful application is to score sleep stages. In this scenario, models are trained to predict the sleep stages of individuals. Although their predictive accuracy is high, there...	false	false	[ "Humberto S. Garcia Caballero", "Michel A. Westenberg", "Binyam Gebrekidan Gebre", "Jarke J. van Wijk" ]	[ "BP" ]	[]	[]
EuroVis	2,019	VIAN: A Visual Annotation Tool for Film Analysis	10.1111/cgf.13676	While color plays a fundamental role in film design and production, existing solutions for film analysis in the digital humanities address perceptual and spatial color information only tangentially. We introduce VIAN, a visual film annotation system centered on the semantic aspects of film color analysis. The tool enab...	false	false	[ "Gaudenz Halter", "Rafael Ballester-Ripoll", "Barbara Flückiger", "Renato Pajarola" ]	[]	[]	[]
EuroVis	2,019	Visual Analysis of Charge Flow Networks for Complex Morphologies	10.1111/cgf.13704	In the field of organic electronics, understanding complex material morphologies and their role in efficient charge transport in solar cells is extremely important. Related processes are studied using the Ising model and Kinetic Monte Carlo simulations resulting in large ensembles of stochastic trajectories. Naive visu...	false	false	[ "Sathish Kottravel", "Martin Falk", "Talha Bin Masood", "Mathieu Linares", "Ingrid Hotz" ]	[]	[]	[]
EuroVis	2,019	Visual-Interactive Preprocessing of Multivariate Time Series Data	10.1111/cgf.13698	Pre‐processing is a prerequisite to conduct effective and efficient downstream data analysis. Pre‐processing pipelines often require multiple routines to address data quality challenges and to bring the data into a usable form. For both the construction and the refinement of pre‐processing pipelines, human‐in‐the‐loop ...	false	false	[ "Jürgen Bernard", "Marco Hutter 0002", "Heiko Reinemuth", "Hendrik Pfeifer", "Christian Bors", "Jörn Kohlhammer" ]	[]	[]	[]
EuroVis	2,019	Visualization of Equivalence in 2D Bivariate Fields	10.1111/cgf.13691	In this paper, we show how the equivalence property leads to the novel concept of equivalent regions in mappings from ℝn to ℝn. We present a technique for obtaining these regions both in the domain and the codomain of such a mapping, and determine their correspondence. This enables effective investigation of variation ...	false	false	[ "Boyan Zheng", "Bastian Rieck", "Heike Leitte", "Filip Sadlo" ]	[]	[]	[]
EuroVis	2,019	Visualization Support for Developing a Matrix Calculus Algorithm: A Case Study	10.1111/cgf.13694	The development of custom interactive visualization tools for specific domains and applications has been made much simpler recently by a surge of visualization tools, libraries and frameworks. Most of these tools are developed for classical data science applications, where a user is supported in analyzing measured or s...	false	false	[ "Joachim Giesen", "Julien Klaus", "Sören Laue", "Ferdinand Schreck" ]	[]	[]	[]
EuroVis	2,019	Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization	10.1111/cgf.13686	The majority of visualizations on the web are still stored as raster images, making them inaccessible to visually impaired users. We propose a deep‐neural‐network‐based approach that automatically recognizes key elements in a visualization, including a visualization type, graphical elements, labels, legends, and most i...	false	false	[ "Jinho Choi", "Sanghun Jung", "Deok Gun Park 0001", "Jaegul Choo", "Niklas Elmqvist" ]	[]	[]	[]
CHI	2,019	A Bayesian Cognition Approach to Improve Data Visualization	10.1145/3290605.3300912	People naturally bring their prior beliefs to bear on how they interpret the new information, yet few formal models exist for accounting for the influence of users' prior beliefs in interactions with data presentations like visualizations. We demonstrate a Bayesian cognitive model for understanding how people interpret...	false	false	[ "Yea-Seul Kim", "Logan A. Walls", "Peter M. Krafft", "Jessica Hullman" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1901.02949v1", "icon": "paper" } ]
CHI	2,019	A Comparison of Notification Techniques for Out-of-View Objects in Full-Coverage Displays	10.1145/3290605.3300288	Full-coverage displays can place visual content anywhere on the interior surfaces of a room (e.g., a weather display near the coat stand). In these settings, digital artefacts can be located behind the user and out of their field of view - meaning that it can be difficult to notify the user when these artefacts need at...	false	false	[ "Julian Petford", "Iain Carson", "Miguel A. Nacenta", "Carl Gutwin" ]	[]	[]	[]
CHI	2,019	A Lie Reveals the Truth: Quasimodes for Task-Aligned Data Presentation	10.1145/3290605.3300423	Designers are often discouraged from creating data visualizations that omit or distort information, because they can easily be misleading. However, the same representations that could be used to deceive can provide benefits when chosen to appropriately align with user tasks. We present an interaction technique, Percept...	false	false	[ "Jacob Ritchie", "Daniel Wigdor", "Fanny Chevalier" ]	[]	[]	[]
CHI	2,019	A Rough Sketch of the Freehand Drawing Process: Blending the Line between Action and Artifact	10.1145/3290605.3300312	Dynamic elements of the drawing process (e.g., order of compilation, speed, length, and pressure of strokes) are considered important because they can reveal the technique, process, and emotions of the artist. To explore how sensing, visualizing, and sharing these aspects of the creative process might shape art making ...	false	false	[ "Piyum Fernando", "Jennifer Weiler", "Stacey Kuznetsov" ]	[]	[]	[]
CHI	2,019	A Wee Bit More Interaction: Designing and Evaluating an Overactive Bladder App	10.1145/3290605.3300933	Overactive Bladder (OAB) is a widespread condition, affecting 20% of the population. Even though it is a treatable condition, people often do not seek treatment. In this paper, we describe how we co-designed and evaluated with 30 stakeholders (9 medical professionals and 21 end-users) an OAB mobile health application t...	false	false	[ "Ana-Maria Salai", "Lynne Baillie" ]	[]	[]	[]
CHI	2,019	Aggregated Visualization of Playtesting Data	10.1145/3290605.3300593	Playtesting is a key component in the game development process aimed at improving the quality of games through the collection of gameplay data and identification of design issues. Visualization techniques are currently being employed to help integrate quantitative and qualitative data. Despite that, two existing challe...	false	false	[ "Günter Wallner", "Nour Halabi", "Pejman Mirza-Babaei" ]	[]	[]	[]
CHI	2,019	Analyzing Value Discovery in Design Decisions Through Ethicography	10.1145/3290605.3300307	HCI scholarship is increasingly concerned with the ethical impact of socio-technical systems. Current theoretically driven approaches that engage with ethics generally prescribe only abstract approaches by which designers might consider values in the design process. However, there is little guidance on methods that pro...	false	false	[ "Shruthi Sai Chivukula", "Colin M. Gray", "Jason A. Brier" ]	[ "HM" ]	[]	[]
CHI	2,019	ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning	10.1145/3290605.3300911	To relieve the pain of manually selecting machine learning algorithms and tuning hyperparameters, automated machine learning (AutoML) methods have been developed to automatically search for good models. Due to the huge model search space, it is impossible to try all models. Users tend to distrust automatic results and ...	false	false	[ "Qianwen Wang", "Yao Ming", "Zhihua Jin", "Qiaomu Shen", "Dongyu Liu", "Micah J. Smith", "Kalyan Veeramachaneni", "Huamin Qu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1902.05009v1", "icon": "paper" } ]
CHI	2,019	Bookly: An Interactive Everyday Artifact Showing the Time of Physically Accumulated Reading Activity	10.1145/3290605.3300614	We introduce Bookly, an interactive artifact that physically represents the accumulated time of users' reading activity through abstract volumetric changes. Bookly accumulates the time of actions (e.g., picking up and putting down books) that users performed for reading and provides a designated space for the ongoing b...	false	false	[ "Somi Ju", "Kyung-Ryong Lee", "Subin Kim", "Young-Woo Park" ]	[]	[]	[]
CHI	2,019	Card Mapper: Enabling Data-Driven Reflections on Ideation Cards	10.1145/3290605.3300801	We explore how usage data captured from ideation cards can enable reflection on design. We deployed a deck of ideation cards on a Masters level module over two years, developing the means to capture the students' designs into a digital repository. We created two visualisations to reveal the relative co-occurrences of t...	false	false	[ "Dimitrios Paris Darzentas", "Raphael Velt", "Richard Wetzel", "Peter J. Craigon", "Hanne Gesine Wagner", "Lachlan D. Urquhart", "Steve Benford" ]	[]	[]	[]
CHI	2,019	Color Builder: A Direct Manipulation Interface for Versatile Color Theme Authoring	10.1145/3290605.3300686	Color themes or palettes are popular for sharing color combinations across many visual domains. We present a novel interface for creating color themes through direct manipulation of color swatches. Users can create and rearrange swatches, and combine them into smooth and step-based gradients and three-color blends -- a...	false	false	[ "Maria Shugrina", "Wenjia Zhang", "Fanny Chevalier", "Sanja Fidler", "Karan Singh" ]	[]	[]	[]
CHI	2,019	Communicating Uncertainty in Fertility Prognosis	10.1145/3290605.3300391	Communicating uncertainty has been shown to provide positive effects on user understanding and decision-making. Surprisingly however, most personal health tracking applications fail to disclose the accuracy of their measurements and predictions. In the case of fertility tracking applications (FTAs), inaccurate predicti...	false	false	[ "Hanna Schneider", "Julia Wayrauther", "Mariam Hassib", "Andreas Butz" ]	[]	[]	[]
CHI	2,019	Concept-Driven Visual Analytics: an Exploratory Study of Model- and Hypothesis-Based Reasoning with Visualizations	10.1145/3290605.3300298	Visualization tools facilitate exploratory data analysis, but fall short at supporting hypothesis-based reasoning. We conducted an exploratory study to investigate how visualizations might support a concept-driven analysis style, where users can optionally share their hypotheses and conceptual models in natural languag...	false	false	[ "In Kwon Choi", "Taylor Childers", "Nirmal Kumar Raveendranath", "Swati Mishra 0006", "Kyle Harris", "Khairi Reda" ]	[]	[]	[]
CHI	2,019	Connect-to-Connected Worlds: Piloting a Mobile, Data-Driven Reflection Tool for an Open-Ended Simulation at a Museum	10.1145/3290605.3300237	Immersive open-ended museum exhibits promote ludic engagement and can be a powerful draw for visitors, but these qualities may also make learning more challenging. We describe our efforts to help visitors engage more deeply with an interactive exhibit's content by giving them access to visualizations of data skimmed fr...	false	false	[ "Aditi Mallavarapu", "Leilah Lyons", "Stephen M. Uzzo", "Wren Thompson", "Rinat Levy-Cohen", "Brian Slattery" ]	[]	[]	[]
CHI	2,019	Data is Personal: Attitudes and Perceptions of Data Visualization in Rural Pennsylvania	10.1145/3290605.3300474	Many of the guidelines that inform how designers create data visualizations originate in studies that unintentionally exclude populations that are most likely to be among the 'data poor'. In this paper, we explore which factors may drive attention and trust in rural populations with diverse economic and educational bac...	false	false	[ "Evan M. Peck", "Sofia E. Ayuso", "Omar El-Etr" ]	[ "BP" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1901.01920v1", "icon": "paper" } ]
CHI	2,019	DataSelfie: Empowering People to Design Personalized Visuals to Represent Their Data	10.1145/3290605.3300309	Many personal informatics systems allow people to collect and manage personal data and reflect more deeply about themselves. However, these tools rarely offer ways to customize how the data is visualized. In this work, we investigate the question of how to enable people to determine the representation of their data. We...	false	false	[ "Nam Wook Kim", "Hyejin Im", "Nathalie Henry Riche", "Alicia Wang", "Krzysztof Gajos", "Hanspeter Pfister" ]	[]	[]	[]
CHI	2,019	DataToon: Drawing Dynamic Network Comics With Pen + Touch Interaction	10.1145/3290605.3300335	Comics are an entertaining and familiar medium for presenting compelling stories about data. However, existing visualization authoring tools do not leverage this expressive medium. In this paper, we seek to incorporate elements of comics into the construction of data-driven stories about dynamic networks. We contribute...	false	false	[ "Nam Wook Kim", "Nathalie Henry Riche", "Benjamin Bach", "Guanpeng Xu", "Matthew Brehmer", "Ken Hinckley", "Michel Pahud", "Haijun Xia", "Michael J. McGuffin", "Hanspeter Pfister" ]	[]	[]	[]
CHI	2,019	Effect of Orientation on Unistroke Touch Gestures	10.1145/3290605.3300928	As touchscreens are the most successful input method of current mobile devices, touch gestures became a widely used input technique. While gestures provide users with advantages to express themselves, they also introduce challenges regarding accuracy and memorability. In this paper, we investigate the effect of a gestu...	false	false	[ "Sven Mayer", "Valentin Schwind", "Huy Viet Le", "Dominik Weber", "Jonas Vogelsang", "Johannes Wolf", "Niels Henze" ]	[]	[]	[]
CHI	2,019	Embodied Imagination: An Approach to Stroke Recovery Combining Participatory Performance and Interactive Technology	10.1145/3290605.3300735	Participatory performance provides methods for exploring social identities and situations in ways that can help people to imagine new ways of being. Digital technologies provide tools that can help people envision these possibilities. We explore this combination through a performance workshop process designed to help s...	false	false	[ "Rosella P. Galindo Esparza", "Patrick G. T. Healey", "Lois Weaver", "Matthew Delbridge" ]	[]	[]	[]
CHI	2,019	Ethical Dimensions of Visualization Research	10.1145/3290605.3300418	Visualizations have a potentially enormous influence on how data are used to make decisions across all areas of human endeavor. However, it is not clear how this power connects to ethical duties: what obligations do we have when it comes to visualizations and visual analytics systems, beyond our duties as scientists an...	false	false	[ "Michael Correll" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1811.07271v2", "icon": "paper" } ]
CHI	2,019	Evaluating the Impact of Pseudo-Colour and Coordinate System on the Detection of Medication-induced ECG Changes	10.1145/3290605.3300353	The electrocardiogram (ECG), a graphical representation of the heart's electrical activity, is used for detecting cardiac pathologies. Certain medications can produce a complication known as 'long QT syndrome', shown on the ECG as an increased gap between two parts of the waveform. Self-monitoring for this could be lif...	false	false	[ "Alaa Alahmadi", "Alan Davies", "Jennifer Royle", "Markel Vigo", "Caroline Jay" ]	[]	[]	[]
CHI	2,019	Examining and Enhancing the Illusory Touch Perception in Virtual Reality Using Non-Invasive Brain Stimulation	10.1145/3290605.3300477	Virtual reality (VR) can be immersive to such a degree that users sometimes report feeling tactile sensations based on visualization of the touch, without any actual physical contact. This effect is not only interesting for studies of human perception, but can also be leveraged to improve the quality of VR by evoking t...	false	false	[ "Filip Skola", "Fotis Liarokapis" ]	[]	[]	[]
CHI	2,019	Exploring Sound Awareness in the Home for People who are Deaf or Hard of Hearing	10.1145/3290605.3300324	The home is filled with a rich diversity of sounds from mundane beeps and whirs to dog barks and children's shouts. In this paper, we examine how deaf and hard of hearing (DHH) people think about and relate to sounds in the home, solicit feedback and reactions to initial domestic sound awareness systems, and explore po...	false	false	[ "Dhruv Jain", "Angela Lin", "Rose Guttman", "Marcus Amalachandran", "Aileen Zeng", "Leah Findlater", "Jon Froehlich" ]	[]	[]	[]
CHI	2,019	Eye-Write: Gaze Sharing for Collaborative Writing	10.1145/3290605.3300727	Online collaborative writing is an increasingly common practice. Despite its positive effect on productivity and quality of work, it poses challenges to co-authors in remote settings because of limitations in conversational grounding and activity awareness. This paper presents Eye-Write, a novel system which allows two...	false	false	[ "Grete Helena Kütt", "Kevin Lee", "Ethan Hardacre", "Alexandra Papoutsaki" ]	[]	[]	[]
CHI	2,019	Falcon: Balancing Interactive Latency and Resolution Sensitivity for Scalable Linked Visualizations	10.1145/3290605.3300924	We contribute user-centered prefetching and indexing methods that provide low-latency interactions across linked visualizations, enabling cold-start exploration of billion-record datasets. We implement our methods in Falcon, a web-based system that makes principled trade-offs between latency and resolution to optimize ...	false	false	[ "Dominik Moritz", "Bill Howe", "Jeffrey Heer" ]	[]	[]	[]
CHI	2,019	Frequency-Based Design of Smart Textiles	10.1145/3290605.3300524	Despite the increasing amount of smart textile design practitioners, the methods and tools commonly available have not progressed to the same scale. Most smart textile interaction designs today rely on detecting changes in resistance. The tools and sensors for this are generally limited to DC-voltage-divider based sens...	false	false	[ "Jussi Mikkonen", "Riikka Townsend" ]	[]	[]	[]
CHI	2,019	Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models	10.1145/3290605.3300809	Without good models and the right tools to interpret them, data scientists risk making decisions based on hidden biases, spurious correlations, and false generalizations. This has led to a rallying cry for model interpretability. Yet the concept of interpretability remains nebulous, such that researchers and tool desig...	false	false	[ "Fred Hohman", "Andrew Head", "Rich Caruana", "Robert DeLine", "Steven Mark Drucker" ]	[]	[]	[]
CHI	2,019	GymSoles: Improving Squats and Dead-Lifts by Visualizing the User's Center of Pressure	10.1145/3290605.3300404	The correct execution of exercises, such as squats and dead-lifts, is essential to prevent various bodily injuries. Existing solutions either rely on expensive motion tracking or multiple Inertial Measurement Units (IMU) systems require an extensive set-up and individual calibration. This paper introduces a proof of co...	false	false	[ "Don Samitha Elvitigala", "Denys J. C. Matthies", "Löic David", "Chamod Weerasinghe", "Suranga Nanayakkara" ]	[]	[]	[]
CHI	2,019	Haptipedia: Accelerating Haptic Device Discovery to Support Interaction & Engineering Design	10.1145/3290605.3300788	Creating haptic experiences often entails inventing, modifying, or selecting specialized hardware. However, interaction designers are rarely engineers, and 30 years of haptic inventions are buried in a fragmented literature that describes devices mechanically rather than by potential purpose. We conceived of Haptipedia...	false	false	[ "Hasti Seifi", "Farimah Fazlollahi", "Michael Oppermann", "John Andrew Sastrillo", "Jessica Ip", "Ashutosh Agrawal", "Gunhyuk Park", "Katherine J. Kuchenbecker", "Karon E. MacLean" ]	[]	[]	[]
CHI	2,019	In a Silent Way: Communication Between AI and Improvising Musicians Beyond Sound	10.1145/3290605.3300268	Collaboration is built on trust, and establishing trust with a creative Artificial Intelligence is difficult when the decision process or internal state driving its behaviour isn't exposed. When human musicians improvise together, a number of extra-musical cues are used to augment musical communication and expose menta...	false	false	[ "Jon McCormack", "Toby Gifford", "Patrick Hutchings", "Maria Teresa Llano Rodriguez", "Matthew Yee-King", "Mark d'Inverno" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1902.06442v1", "icon": "paper" } ]
CHI	2,019	Making Sense of Human-Food Interaction	10.1145/3290605.3300908	Activity in Human-Food Interaction (HFI) research is skyrocketing across a broad range of disciplinary interests and concerns. The dynamic and heterogeneous nature of this emerging field presents a challenge to scholars wishing to critically engage with prior work, identify gaps and ensure impact. It also challenges th...	false	false	[ "Ferran Altarriba Bertran", "Samvid Niravbhai Jhaveri", "Rosa Lutz", "Katherine Isbister", "Danielle Wilde" ]	[]	[]	[]
CHI	2,019	Managing Messes in Computational Notebooks	10.1145/3290605.3300500	Data analysts use computational notebooks to write code for analyzing and visualizing data. Notebooks help analysts iteratively write analysis code by letting them interleave code with output, and selectively execute cells. However, as analysis progresses, analysts leave behind old code and outputs, and overwrite impor...	false	false	[ "Andrew Head", "Fred Hohman", "Titus Barik", "Steven Mark Drucker", "Robert DeLine" ]	[ "BP" ]	[]	[]
CHI	2,019	Measuring the Separability of Shape, Size, and Color in Scatterplots	10.1145/3290605.3300899	Scatterplots commonly use multiple visual channels to encode multivariate datasets. Such visualizations often use size, shape, and color as these dimensions are considered separable--dimensions represented by one channel do not significantly interfere with viewers' abilities to perceive data in another. However, recent...	false	false	[ "Stephen Smart", "Danielle Albers Szafir" ]	[]	[]	[]
CHI	2,019	MindDot: Supporting Effective Cognitive Behaviors in Concept Map-Based Learning Environments	10.1145/3290605.3300258	While prior research has revealed the promising impact of concept mapping on learning, few have comprehensively modeled different cognitive behaviors during concept mapping. In addition, existing concept mapping tools lack effective feedback to support better learning behaviors. This work presents MindDot, a concept ma...	false	false	[ "Shang Wang 0001", "Deniz Sonmez Unal", "Erin Walker" ]	[]	[]	[]
CHI	2,019	On the Shoulder of the Giant: A Multi-Scale Mixed Reality Collaboration with 360 Video Sharing and Tangible Interaction	10.1145/3290605.3300458	We propose a multi-scale Mixed Reality (MR) collaboration between the Giant, a local Augmented Reality user, and the Miniature, a remote Virtual Reality user, in Giant-Miniature Collaboration (GMC). The Miniature is immersed in a 360-video shared by the Giant who can physically manipulate the Miniature through a tangib...	false	false	[ "Thammathip Piumsomboon", "Gun A. Lee", "Andrew Irlitti", "Barrett Ens", "Bruce H. Thomas", "Mark Billinghurst" ]	[]	[]	[]
CHI	2,019	PeerLens: Peer-inspired Interactive Learning Path Planning in Online Question Pool	10.1145/3290605.3300864	Online question pools like LeetCode provide hands-on exercises of skills and knowledge. However, due to the large volume of questions and the intent of hiding the tested knowledge behind them, many users find it hard to decide where to start or how to proceed based on their goals and performance. To overcome these limi...	false	false	[ "Meng Xia", "Mingfei Sun", "Huan Wei", "Qing Chen 0001", "Yong Wang 0021", "Lei Shi 0002", "Huamin Qu", "Xiaojuan Ma" ]	[]	[]	[]
CHI	2,019	PicMe: Interactive Visual Guidance for Taking Requested Photo Composition	10.1145/3290605.3300625	PicMe is a mobile application that provides interactive on-screen guidance that helps the user take pictures of a composition that another person requires. Once the requester captures a picture of the desired composition and delivers it to the user (photographer), a 2.5D guidance system, called the virtual frame, guide...	false	false	[ "Minju Kim", "Jungjin Lee" ]	[ "BP" ]	[]	[]
CHI	2,019	Ranked-List Visualization: A Graphical Perception Study	10.1145/3290605.3300422	Visualization of ranked lists is a common occurrence, but many in-the-wild solutions fly in the face of vision science and visualization wisdom. For example, treemaps and bubble charts are commonly used for this purpose, despite the fact that the data is not hierarchical and that length is easier to perceive than area....	false	false	[ "Pranathi Mylavarapu", "Adil Yalçin", "Xan Gregg", "Niklas Elmqvist" ]	[]	[]	[]
CHI	2,019	Saliency Deficit and Motion Outlier Detection in Animated Scatterplots	10.1145/3290605.3300771	We report the results of a crowdsourced experiment that measured the accuracy of motion outlier detection in multivariate, animated scatterplots. The targets were outliers either in speed or direction of motion, and were presented with varying levels of saliency in dimensions that are irrelevant to the task of motion o...	false	false	[ "Rafael Veras", "Christopher Collins 0001" ]	[ "HM" ]	[]	[]
CHI	2,019	Scaptics and Highlight-Planes: Immersive Interaction Techniques for Finding Occluded Features in 3D Scatterplots	10.1145/3290605.3300555	Three-dimensional scatterplots suffer from well-known perception and usability problems. In particular, overplotting and occlusion, mainly due to density and noise, prevent users from properly perceiving the data. Thanks to accurate head and hand tracking, immersive Virtual Reality (VR) setups provide new ways to inter...	false	false	[ "Arnaud Prouzeau", "Maxime Cordeil", "Clement Robin", "Barrett Ens", "Bruce H. Thomas", "Tim Dwyer" ]	[]	[]	[]
CHI	2,019	TalkTraces: Real-Time Capture and Visualization of Verbal Content in Meetings	10.1145/3290605.3300807	Group Support Systems provide ways to review and edit shared content during meetings, but typically require participants to explicitly generate the content. Recent advances in speech-to-text conversion and language processing now make it possible to automatically record and review spoken information. We present the ite...	false	false	[ "Senthil K. Chandrasegaran", "Chris Bryan", "Hidekazu Shidara", "Tung-Yen Chuang", "Kwan-Liu Ma" ]	[]	[]	[]
CHI	2,019	Thinking Too Classically: Research Topics in Human-Quantum Computer Interaction	10.1145/3290605.3300486	Quantum computing is a fundamentally different way of performing computation than classical computing. Many problems that are considered hard for classical computers may have efficient solutions using quantum computers. Recently, technology companies including IBM, Microsoft, and Google have invested in developing both...	false	false	[ "Zahra Ashktorab", "Justin D. Weisz", "Maryam Ashoori" ]	[]	[]	[]
CHI	2,019	Towards Collaboration Translucence: Giving Meaning to Multimodal Group Data	10.1145/3290605.3300269	Collocated, face-to-face teamwork remains a pervasive mode of working, which is hard to replicate online. Team members' embodied, multimodal interaction with each other and artefacts has been studied by researchers, but due to its complexity, has remained opaque to automated analysis. However, the ready availability of...	false	false	[ "Vanessa Echeverría", "Roberto Martínez Maldonado", "Simon Buckingham Shum" ]	[]	[]	[]
CHI	2,019	Towards Effective Foraging by Data Scientists to Find Past Analysis Choices	10.1145/3290605.3300322	Data scientists are responsible for the analysis decisions they make, but it is hard for them to track the process by which they achieved a result. Even when data scientists keep logs, it is onerous to make sense of the resulting large number of history records full of overlapping variants of code, output, plots, etc. ...	false	false	[ "Mary Beth Kery", "Bonnie E. John", "Patrick O'Flaherty", "Amber Horvath", "Brad A. Myers" ]	[]	[]	[]
CHI	2,019	Trust and Recall of Information across Varying Degrees of Title-Visualization Misalignment	10.1145/3290605.3300576	Visualizations are emerging as a means of spreading digital misinformation. Prior work has shown that visualization interpretation can be manipulated through slanted titles that favor only one side of the visual story, yet people still think the visualization is impartial. In this work, we study whether such effects co...	false	false	[ "Ha Kyung Kong", "Zhicheng Liu 0001", "Karrie Karahalios" ]	[]	[]	[]
CHI	2,019	Understanding Law Enforcement Strategies and Needs for Combating Human Trafficking	10.1145/3290605.3300561	In working to rescue victims of human trafficking, law enforcement officers face a host of challenges. Working in complex, layered organizational structures, they face challenges of collaboration and communication. Online information is central to every phase of a human-trafficking investigation. With terabytes of avai...	false	false	[ "Julia Deeb-Swihart", "Alex Endert", "Amy S. Bruckman" ]	[]	[]	[]
CHI	2,019	Understanding Visual Cues in Visualizations Accompanied by Audio Narrations	10.1145/3290605.3300280	It is often assumed that visual cues, which highlight specific parts of a visualization to guide the audience's attention, facilitate visualization storytelling and presentation. This assumption has not been systematically studied. We present an in-lab experiment and a Mechanical Turk study to examine the effects of in...	false	false	[ "Ha Kyung Kong", "Wenjie Zhu", "Zhicheng Liu 0001", "Karrie Karahalios" ]	[]	[]	[]
CHI	2,019	Vistribute: Distributing Interactive Visualizations in Dynamic Multi-Device Setups	10.1145/3290605.3300846	We present Vistribute, a framework for the automatic distribution of visualizations and UI components across multiple heterogeneous devices. Our framework consists of three parts: (i) a design space considering properties and relationships of interactive visualizations, devices, and user preferences in multi-display en...	false	false	[ "Tom Horak", "Andreas Mathisen", "Clemens Nylandsted Klokmose", "Raimund Dachselt", "Niklas Elmqvist" ]	[]	[]	[]
CHI	2,019	Visualizing Uncertainty and Alternatives in Event Sequence Predictions	10.1145/3290605.3300803	Data analysts apply machine learning and statistical methods to timestamped event sequences to tackle various problems but face unique challenges when interpreting the results. Especially in event sequence prediction, it is difficult to convey uncertainty and possible alternative paths or outcomes. In this work, inform...	false	false	[ "Shunan Guo", "Fan Du", "Sana Malik", "Eunyee Koh", "Sungchul Kim", "Zhicheng Liu 0001", "Donghyun Kim 0007", "Hongyuan Zha", "Nan Cao 0001" ]	[]	[]	[]
CHI	2,019	Visually Encoding the Lived Experience of Bipolar Disorder	10.1145/3290605.3300363	Issues of social identity, attitudes towards self-disclosure, and potentially biased approaches to what is considered "typical" or "normal" are critical factors when designing visualizations for personal informatics systems. This is particularly true when working with vulnerable populations like those who self-track to...	false	false	[ "Jaime Snyder", "Elizabeth L. Murnane", "Caitlin Lustig", "Stephen Voida" ]	[]	[]	[]
CHI	2,019	VizML: A Machine Learning Approach to Visualization Recommendation	10.1145/3290605.3300358	Visualization recommender systems aim to lower the barrier to exploring basic visualizations by automatically generating results for analysts to search and select, rather than manually specify. Here, we demonstrate a novel machine learning-based approach to visualization recommendation that learns visualization design ...	false	false	[ "Kevin Zeng Hu", "Michiel A. Bakker", "Stephen Li", "Tim Kraska", "César A. Hidalgo 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1808.04819v1", "icon": "paper" } ]
CHI	2,019	VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository	10.1145/3290605.3300892	Researchers currently rely on ad hoc datasets to train automated visualization tools and evaluate the effectiveness of visualization designs. These exemplars often lack the characteristics of real-world datasets, and their one-off nature makes it difficult to compare different techniques. In this paper, we present VizN...	false	false	[ "Kevin Zeng Hu", "Snehalkumar (Neil) S. Gaikwad", "Madelon Hulsebos", "Michiel A. Bakker", "Emanuel Zgraggen", "César A. Hidalgo 0001", "Tim Kraska", "Guoliang Li 0001", "Arvind Satyanarayan", "Çagatay Demiralp" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1905.04616v1", "icon": "paper" } ]
VAST	2,018	A Visual Analytics Framework for Spatiotemporal Trade Network Analysis	10.1109/TVCG.2018.2864844	Economic globalization is increasing connectedness among regions of the world, creating complex interdependencies within various supply chains. Recent studies have indicated that changes and disruptions within such networks can serve as indicators for increased risks of violence and armed conflicts. This is especially ...	false	false	[ "Hong Wang", "Yafeng Lu", "Shade T. Shutters", "Michael Steptoe", "Feng Wang 0012", "Steven Landis", "Ross Maciejewski" ]	[]	[]	[]
VAST	2,018	A Visual Analytics Framework for the Detection of Anomalous Call Stack Trees in High Performance Computing Applications	10.1109/TVCG.2018.2865026	Anomalous runtime behavior detection is one of the most important tasks for performance diagnosis in High Performance Computing (HPC). Most of the existing methods find anomalous executions based on the properties of individual functions, such as execution time. However, it is insufficient to identify abnormal behavior...	false	false	[ "Cong Xie", "Wei Xu 0020", "Klaus Mueller 0001" ]	[ "HM" ]	[]	[]
VAST	2,018	An Information-Theoretic Approach to the Cost-benefit Analysis of Visualization in Virtual Environments	10.1109/TVCG.2018.2865025	Visualization and virtual environments (VEs) have been two interconnected parallel strands in visual computing for decades. Some VEs have been purposely developed for visualization applications, while many visualization applications are exemplary showcases in general-purpose VEs. Because of the development and operatio...	false	false	[ "Min Chen 0001", "Kelly P. Gaither", "Nigel W. John", "Brian C. McCann" ]	[]	[]	[]
VAST	2,018	An Interactive Method to Improve Crowdsourced Annotations	10.1109/TVCG.2018.2864843	In order to effectively infer correct labels from noisy crowdsourced annotations, learning-from-crowds models have introduced expert validation. However, little research has been done on facilitating the validation procedure. In this paper, we propose an interactive method to assist experts in verifying uncertain insta...	false	false	[ "Shixia Liu", "Changjian Chen", "Yafeng Lu", "Fang-Xin Ou-Yang", "Bin Wang 0021" ]	[]	[]	[]
VAST	2,018	Analysis of Flight Variability: a Systematic Approach	10.1109/TVCG.2018.2864811	In movement data analysis, there exists a problem of comparing multiple trajectories of moving objects to common or distinct reference trajectories. We introduce a general conceptual framework for comparative analysis of trajectories and an analytical procedure, which consists of (1) finding corresponding points in pai...	false	false	[ "Natalia V. Andrienko", "Gennady L. Andrienko", "Jose Manuel Cordero Garcia", "David Scarlatti" ]	[]	[]	[]
VAST	2,018	Analyzing the Noise Robustness of Deep Neural Networks	10.1109/VAST.2018.8802509	Deep neural networks (DNNs) are vulnerable to maliciously generated adversarial examples. These examples are intentionally designed by making imperceptible perturbations and often mislead a DNN into making an incorrect prediction. This phenomenon means that there is significant risk in applying DNNs to safety-critical ...	false	false	[ "Mengchen Liu", "Shixia Liu", "Hang Su 0006", "Kelei Cao", "Jun Zhu 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2001.09395v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/1qzUAMTdWO4", "icon": "video" } ]
VAST	2,018	BitExTract: Interactive Visualization for Extracting Bitcoin Exchange Intelligence	10.1109/TVCG.2018.2864814	The emerging prosperity of cryptocurrencies, such as Bitcoin, has come into the spotlight during the past few years. Cryptocurrency exchanges, which act as the gateway to this world, now play a dominant role in the circulation of Bitcoin. Thus, delving into the analysis of the transaction patterns of exchanges can shed...	false	false	[ "Xuanwu Yue", "Xinhuan Shu", "Xinyu Zhu", "Xinnan Du", "Zheqing Yu", "Dimitrios Papadopoulos 0001", "Siyuan Liu" ]	[]	[]	[]
VAST	2,018	Clustrophile 2: Guided Visual Clustering Analysis	10.1109/TVCG.2018.2864477	Data clustering is a common unsupervised learning method frequently used in exploratory data analysis. However, identifying relevant structures in unlabeled, high-dimensional data is nontrivial, requiring iterative experimentation with clustering parameters as well as data features and instances. The number of possible...	false	false	[ "Marco Cavallo", "Çagatay Demiralp" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1804.03048v3", "icon": "paper" } ]
VAST	2,018	Doccurate: A Curation-Based Approach for Clinical Text Visualization	10.1109/TVCG.2018.2864905	Before seeing a patient, physicians seek to obtain an overview of the patient's medical history. Text plays a major role in this activity since it represents the bulk of the clinical documentation, but reviewing it quickly becomes onerous when patient charts grow too large. Text visualization methods have been widely e...	false	false	[ "Nicole Sultanum", "Devin Singh", "Michael Brudno", "Fanny Chevalier" ]	[]	[]	[]
VAST	2,018	DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks	10.1109/TVCG.2018.2864504	Deep Q-Network (DQN), as one type of deep reinforcement learning model, targets to train an intelligent agent that acquires optimal actions while interacting with an environment. The model is well known for its ability to surpass professional human players across many Atari 2600 games. Despite the superhuman performanc...	false	false	[ "Junpeng Wang", "Liang Gou", "Han-Wei Shen", "Hao Yang 0007" ]	[ "HM" ]	[]	[]
VAST	2,018	Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space	10.1109/TVCG.2018.2865051	We present a direct manipulation technique that allows material scientists to interactively highlight relevant parameterized simulation instances located in dimensionally reduced spaces, enabling a user-defined understanding of a continuous parameter space. Our goals are two-fold: first, to build a user-directed intuit...	false	false	[ "Daniel Orban", "Daniel F. Keefe", "Ayan Biswas", "James P. Ahrens", "David H. Rogers 0001" ]	[]	[]	[]
VAST	2,018	Duet: Helping Data Analysis Novices Conduct Pairwise Comparisons by Minimal Specification	10.1109/TVCG.2018.2864526	Data analysis novices often encounter barriers in executing low-level operations for pairwise comparisons. They may also run into barriers in interpreting the artifacts (e.g., visualizations) created as a result of the operations. We developed Duet, a visual analysis system designed to help data analysis novices conduc...	false	false	[ "Po-Ming Law", "Rahul C. Basole", "Yanhong Wu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/rzk49", "icon": "paper" } ]
VAST	2,018	EmbeddingVis: A Visual Analytics Approach to Comparative Network Embedding Inspection	10.1109/VAST.2018.8802454	Constructing latent vector representation for nodes in a network through embedding models has shown its practicality in many graph analysis applications, such as node classification, clustering, and link prediction. However, despite the high efficiency and accuracy of learning an embedding model, people have little clu...	false	false	[ "Quan Li", "Kristanto Sean Njotoprawiro", "Hammad Haleem", "Qiaoan Chen", "Chris Yi", "Xiaojuan Ma" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1808.09074v1", "icon": "paper" } ]
VAST	2,018	Enhancing Web-based Analytics Applications through Provenance	10.1109/TVCG.2018.2865039	Visual analytics systems continue to integrate new technologies and leverage modern environments for exploration and collaboration, making tools and techniques available to a wide audience through web browsers. Many of these systems have been developed with rich interactions, offering users the opportunity to examine d...	false	false	[ "Akhilesh Camisetty", "Chaitanya Chandurkar", "Maoyuan Sun", "David Koop" ]	[]	[]	[]
VAST	2,018	EnsembleLens: Ensemble-based Visual Exploration of Anomaly Detection Algorithms with Multidimensional Data	10.1109/TVCG.2018.2864825	The results of anomaly detection are sensitive to the choice of detection algorithms as they are specialized for different properties of data, especially for multidimensional data. Thus, it is vital to select the algorithm appropriately. To systematically select the algorithms, ensemble analysis techniques have been de...	false	false	[ "Ke Xu", "Meng Xia", "Xing Mu", "Yun Wang 0012", "Nan Cao" ]	[]	[]	[]
VAST	2,018	Evaluating Multi-Dimensional Visualizations for Understanding Fuzzy Clusters	10.1109/TVCG.2018.2865020	Fuzzy clustering assigns a probability of membership for a datum to a cluster, which veritably reflects real-world clustering scenarios but significantly increases the complexity of understanding fuzzy clusters. Many studies have demonstrated that visualization techniques for multi-dimensional data are beneficial to un...	false	false	[ "Ying Zhao 0001", "Feng Luo", "Minghui Chen", "Yingchao Wang", "Jiazhi Xia", "Fangfang Zhou", "Yunhai Wang", "Yi Chen 0007", "Wei Chen 0001" ]	[]	[]	[]
VAST	2,018	ForVizor: Visualizing Spatio-Temporal Team Formations in Soccer	10.1109/TVCG.2018.2865041	Regarded as a high-level tactic in soccer, a team formation assigns players different tasks and indicates their active regions on the pitch, thereby influencing the team performance significantly. Analysis of formations in soccer has become particularly indispensable for soccer analysts. However, formations of a team a...	false	false	[ "Yingcai Wu", "Xiao Xie", "Jiachen Wang", "Dazhen Deng", "Hongye Liang", "Hui Zhang 0051", "Shoubin Cheng", "Wei Chen 0001" ]	[]	[]	[]
VAST	2,018	Futzing and Moseying: Interviews with Professional Data Analysts on Exploration Practices	10.1109/TVCG.2018.2865040	We report the results of interviewing thirty professional data analysts working in a range of industrial, academic, and regulatory environments. This study focuses on participants' descriptions of exploratory activities and tool usage in these activities. Highlights of the findings include: distinctions between explora...	false	false	[ "Sara Alspaugh", "Nava Zokaei", "Andrea Liu", "Cindy Jin", "Marti A. Hearst" ]	[]	[]	[]
VAST	2,018	GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation	10.1109/TVCG.2018.2864500	Recent success in deep learning has generated immense interest among practitioners and students, inspiring many to learn about this new technology. While visual and interactive approaches have been successfully developed to help people more easily learn deep learning, most existing tools focus on simpler models. In thi...	false	false	[ "Minsuk Kahng", "Nikhil Thorat", "Polo Chau", "Fernanda B. Viégas", "Martin Wattenberg" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1809.01587v1", "icon": "paper" } ]
VAST	2,018	GraphProtector: A Visual Interface for Employing and Assessing Multiple Privacy Preserving Graph Algorithms	10.1109/TVCG.2018.2865021	Analyzing social networks reveals the relationships between individuals and groups in the data. However, such analysis can also lead to privacy exposure (whether intentionally or inadvertently): leaking the real-world identity of ostensibly anonymous individuals. Most sanitization strategies modify the graph's structur...	false	false	[ "Xumeng Wang", "Wei Chen 0001", "Jia-Kai Chou", "Chris Bryan", "Huihua Guan", "Wenlong Chen", "Rusheng Pan", "Kwan-Liu Ma" ]	[]	[]	[]
VAST	2,018	Identification of Temporally Varying Areas of Interest in Long-Duration Eye-Tracking Data Sets	10.1109/TVCG.2018.2865042	Eye-tracking has become an invaluable tool for the analysis of working practices in many technological fields of activity. Typically studies focus on short tasks and use static expected areas of interest (AoI) in the display to explore subjects' behaviour, making the analyst's task quite straightforward. In long-durati...	false	false	[ "Prithiviraj K. Muthumanickam", "Katerina Vrotsou", "Aida Nordman", "Jimmy Johansson 0001", "Matthew Cooper 0001" ]	[]	[]	[]
VAST	2,018	iForest: Interpreting Random Forests via Visual Analytics	10.1109/TVCG.2018.2864475	As an ensemble model that consists of many independent decision trees, random forests generate predictions by feeding the input to internal trees and summarizing their outputs. The ensemble nature of the model helps random forests outperform any individual decision tree. However, it also leads to a poor model interpret...	false	false	[ "Xun Zhao", "Yanhong Wu", "Dik Lun Lee", "Weiwei Cui" ]	[]	[]	[]
VAST	2,018	InkPlanner: Supporting Prewriting via Intelligent Visual Diagramming	10.1109/TVCG.2018.2864887	Prewriting is the process of generating and organizing ideas before drafting a document. Although often overlooked by novice writers and writing tool developers, prewriting is a critical process that improves the quality of a final document. To better understand current prewriting practices, we first conducted intervie...	false	false	[ "Zhicong Lu", "Mingming Fan 0001", "Yun Wang 0012", "Jian Zhao 0010", "Michelle Annett", "Daniel J. Wigdor" ]	[]	[]	[]
VAST	2,018	KnowledgePearls: Provenance-Based Visualization Retrieval	10.1109/TVCG.2018.2865024	Storing analytical provenance generates a knowledge base with a large potential for recalling previous results and guiding users in future analyses. However, without extensive manual creation of meta information and annotations by the users, search and retrieval of analysis states can become tedious. We present Knowled...	false	false	[ "Holger Stitz", "Samuel Gratzl", "Harald Piringer", "Thomas Zichner", "Marc Streit" ]	[]	[]	[]
VAST	2,018	Lessons Learned Developing a Visual Analytics Solution for Investigative Analysis of Scamming Activities	10.1109/TVCG.2018.2865023	The forensic investigation of communication datasets which contain unstructured text, social network information, and metadata is a complex task that is becoming more important due to the immense amount of data being collected. Currently there are limited approaches that allow an investigator to explore the network, te...	false	false	[ "Jay Koven", "Cristian Felix", "Hossein Siadati", "Markus Jakobsson", "Enrico Bertini" ]	[]	[]	[]
VAST	2,018	Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models	10.1109/TVCG.2018.2864499	Interpretation and diagnosis of machine learning models have gained renewed interest in recent years with breakthroughs in new approaches. We present Manifold, a framework that utilizes visual analysis techniques to support interpretation, debugging, and comparison of machine learning models in a more transparent and i...	false	false	[ "Jiawei Zhang 0003", "Yang Wang", "Piero Molino", "Lezhi Li", "David S. Ebert" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1808.00196v1", "icon": "paper" } ]

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