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train · 6.09k 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 24	Award listlengths 0 2	Resources listlengths 0 5	ResourceLinks listlengths 0 10
EuroVis	2,020	Survey on Individual Differences in Visualization	10.1111/cgf.14033	Developments in data visualization research have enabled visualization systems to achieve great general usability and application across a variety of domains. These advancements have improved not only people's understanding of data, but also the general understanding of people themselves, and how they interact with vis...	false	false	[ "Zhengliang Liu", "R. Jordan Crouser", "Alvitta Ottley" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2002.07950v2", "icon": "paper" } ]
EuroVis	2,020	Survey on the Analysis of User Interactions and Visualization Provenance	10.1111/cgf.14035	There is fast‐growing literature on provenance‐related research, covering aspects such as its theoretical framework, use cases, and techniques for capturing, visualizing, and analyzing provenance data. As a result, there is an increasing need to identify and taxonomize the existing scholarship. Such an organization of ...	false	false	[ "Kai Xu 0003", "Alvitta Ottley", "Conny Walchshofer", "Marc Streit", "Remco Chang", "John E. Wenskovitch" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/jux76", "icon": "paper" } ]
EuroVis	2,020	The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations	10.1111/cgf.14034	Machine learning (ML) models are nowadays used in complex applications in various domains, such as medicine, bioinformatics, and other sciences. Due to their black box nature, however, it may sometimes be hard to understand and trust the results they provide. This has increased the demand for reliable visualization too...	false	false	[ "Angelos Chatzimparmpas", "Rafael Messias Martins", "Ilir Jusufi", "Kostiantyn Kucher", "Fabrice Rossi", "Andreas Kerren" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2212.11737v1", "icon": "paper" } ]
EuroVis	2,020	The State of the Art in Map-Like Visualization	10.1111/cgf.14031	Cartographic maps have been shown to provide cognitive benefits when interpreting data in relation to a geographic location. In visualization, the term map‐like describes techniques that incorporate characteristics of cartographic maps in their representation of abstract data. However, the field of map‐like visualizati...	false	false	[ "Marius Hogräfer", "Magnus Heitzler", "Hans-Jörg Schulz" ]	[]	[]	[]
EuroVis	2,020	Understanding the Design Space and Authoring Paradigms for Animated Data Graphics	10.1111/cgf.13974	Creating expressive animated data graphics often requires designers to possess highly specialized programming skills. Alternatively, the use of direct manipulation tools is popular among animation designers, but these tools have limited support for generating graphics driven by data. Our goal is to inform the design of...	false	false	[ "John Thompson 0002", "Zhicheng Liu", "Wilmot Li", "John T. Stasko" ]	[]	[]	[]
EuroVis	2,020	v-plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions	10.1111/cgf.14002	Comparing data distributions is a core focus in descriptive statistics, and part of most data analysis processes across disciplines. In particular, comparing distributions entails numerous tasks, ranging from identifying global distribution properties, comparing aggregated statistics (e.g., mean values), to the local i...	false	false	[ "Michael Blumenschein", "Luka J. Debbeler", "Nadine C. Lages", "Britta Renner", "Daniel A. Keim", "Mennatallah El-Assady" ]	[]	[]	[]
EuroVis	2,020	VA-TRAC: Geospatial Trajectory Analysis for Monitoring, Identification, and Verification in Fishing Vessel Operations	10.1111/cgf.13966	In order to ensure sustainability, fishing operations are governed by many rules and regulations that restrict the use of certain techniques and equipment, specify the species and size offish that can be harvested, and regulate commercial activities based on licensing schemes. As the world's second largest exporter off...	false	false	[ "S. Storm-Furru", "Stefan Bruckner" ]	[]	[]	[]
EuroVis	2,020	Visual Analysis of the Finite-Time Lyapunov Exponent	10.1111/cgf.13984	In this paper, we present an integrated visual analytics approach to support the parametrization and exploration of flow visualization based on the finite‐time Lyapunov exponent. Such visualization of time‐dependent flow faces various challenges, including the choice of appropriate advection times, temporal regions of ...	false	false	[ "Antoni Sagristà", "Stefan Jordan", "Filip Sadlo" ]	[]	[]	[]
EuroVis	2,020	VisuaLint: Sketchy In Situ Annotations of Chart Construction Errors	10.1111/cgf.13975	Chart construction errors, such as truncated axes or inexpressive visual encodings, can hinder reading a visualization, or worse, imply misleading facts about the underlying data. These errors can be caught by critical readings of visualizations, but readers must have a high level of data and design literacy and must b...	false	false	[ "Aspen K. Hopkins", "Michael Correll", "Arvind Satyanarayan" ]	[]	[]	[]
EuroVis	2,020	Warehouse Vis: A Visual Analytics Approach to Facilitating Warehouse Location Selection for Business Districts	10.1111/cgf.13996	Selecting a proper warehouse location serving to satisfy the demands of the goods from a certain business area is important to a successful retail business. However, the large solution space, uncertain traffic conditions, and varying business preferences impose great challenges on warehouse location selection. Conventi...	false	false	[ "Quan Li", "Qiangqiang Liu", "Chunfeng Tang", "Z. W. Li", "S. C. Wei", "X. R. Peng", "M. H. Zheng", "Tianjian Chen", "Q. Yang" ]	[]	[]	[]
CHI	2,020	A Comparison of Geographical Propagation Visualizations	10.1145/3313831.3376350	Geographical propagation phenomena occur in multiple domains, such as in epidemiology and social media. Propagation dynamics are often complex, and visualizations play a key role in helping subject-matter experts understand and analyze them. However, there is little empirical data about the effectiveness of the various...	false	false	[ "Vanessa Peña Araya", "Anastasia Bezerianos", "Emmanuel Pietriga" ]	[]	[]	[]
CHI	2,020	A Participatory Simulation of the Accountable Capitalism Act	10.1145/3313831.3376326	Interactive computing systems increasingly allow for experimental evaluations of fundamental issues in law, government, and society. In this paper, we describe a participatory simulation of the Accountable Capitalism Act, a bill proposed in 2018 by US Senator Elizabeth Warren. We present findings from an empirical stud...	false	false	[ "Bill Tomlinson", "M. Six Silberman", "Andrew W. Torrance", "Kurt Squire", "Paramdeep S. Atwal", "Ameya N. Mandalik", "Sahil Railkar", "Rebecca W. Black" ]	[]	[]	[]
CHI	2,020	A Probabilistic Grammar of Graphics	10.1145/3313831.3376466	Visualizations depicting probabilities and uncertainty are used everywhere from medical risk communication to machine learning, yet these probabilistic visualizations are difficult to specify, prone to error, and their designs are cumbersome to explore. We propose a Probabilistic Grammar of Graphics (PGoG), an extensio...	false	false	[ "Xiaoying Pu", "Matthew Kay 0001" ]	[ "HM" ]	[]	[]
CHI	2,020	Addressing Cognitive and Emotional Barriers in Parent-Clinician Communication through Behavioral Visualization Webtools	10.1145/3313831.3376181	Effective communication between clinicians and parents of young children with developmental delays can decrease parents' anxiety, help them handle bad news, and improve their adherence to proposed interventions. However, parents have reported dissatisfaction regarding their current communication with clinicians, and th...	false	false	[ "Ha Kyung Kong", "Karrie Karahalios" ]	[]	[]	[]
CHI	2,020	Assessing 2D and 3D Heatmaps for Comparative Analysis: An Empirical Study	10.1145/3313831.3376675	Heatmaps are a popular visualization technique that encode 2D density distributions using color or brightness. Experimental studies have shown though that both of these visual variables are inaccurate when reading and comparing numeric data values. A potential remedy might be to use 3D heatmaps by introducing height as...	false	false	[ "Matthias Kraus 0002", "Katrin Angerbauer", "Juri Buchmüller", "Daniel Schweitzer", "Daniel A. Keim", "Michael Sedlmair", "Johannes Fuchs 0001" ]	[]	[]	[]
CHI	2,020	Augmenting Static Visualizations with PapARVis Designer	10.1145/3313831.3376436	This paper presents an authoring environment for augmenting static visualizations with virtual content in augmented reality.Augmenting static visualizations can leverage the best of both physical and digital worlds, but its creation currently involves different tools and devices, without any means to explicitly design ...	false	false	[ "Zhutian Chen", "Wai Tong", "Qianwen Wang", "Benjamin Bach", "Huamin Qu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2310.04826v1", "icon": "paper" } ]
CHI	2,020	Automatic Annotation Synchronizing with Textual Description for Visualization	10.1145/3313831.3376443	In this paper, we propose a technique for automatically annotating visualizations according to the textual description. In our approach, visual elements in the target visualization, along with their visual properties, are identified and extracted with a Mask R-CNN model. Meanwhile, the description is parsed to generate...	false	false	[ "Chufan Lai", "Zhixian Lin", "Ruike Jiang", "Yun Han", "Can Liu 0004", "Xiaoru Yuan" ]	[]	[]	[]
CHI	2,020	Awareness, Understanding, and Action: A Conceptual Framework of User Experiences and Expectations about Indoor Air Quality Visualizations	10.1145/3313831.3376521	With the advent of new sensors and technologies, smart devices that monitor the level of indoor air quality (IAQ) are increasingly available to create a healthy home environment. However, little has been studied regarding design principles for effective IAQ visualizations to help better understand and improve IAQ. We a...	false	false	[ "Sunyoung Kim", "Muyang Li" ]	[]	[]	[]
CHI	2,020	Cheat Sheets for Data Visualization Techniques	10.1145/3313831.3376271	This paper introduces the concept of 'cheat sheets' for data visualization techniques, a set of concise graphical explanations and textual annotations inspired by infographics, data comics, and cheat sheets in other domains. Cheat sheets aim to address the increasing need for accessible material that supports a wide au...	false	false	[ "Zezhong Wang 0001", "Lovisa Sundin", "Dave Murray-Rust", "Benjamin Bach" ]	[]	[]	[]
CHI	2,020	COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations	10.1145/3313831.3376615	Interpretable machine learning models trade -off accuracy for simplicity to make explanations more readable and easier to comprehend. Drawing from cognitive psychology theories in graph comprehension, we formalize readability as visual cognitive chunks to measure and moderate the cognitive load in explanation visualiza...	false	false	[ "Ashraf M. Abdul", "Christian von der Weth", "Mohan S. Kankanhalli", "Brian Y. Lim" ]	[]	[]	[]
CHI	2,020	DataQuilt: Extracting Visual Elements from Images to Craft Pictorial Visualizations	10.1145/3313831.3376172	Recent years have seen an increasing interest in the authoring and crafting of personal visualizations. Mainstream data analysis and authoring tools lack the flexibility for customization and personalization, whereas tools from the research community either require creativity and drawing skills, or are limited to simpl...	false	false	[ "Jiayi Eris Zhang", "Nicole Sultanum", "Anastasia Bezerianos", "Fanny Chevalier" ]	[]	[]	[]
CHI	2,020	Dear Pictograph: Investigating the Role of Personalization and Immersion for Consuming and Enjoying Visualizations	10.1145/3313831.3376348	Much of the visualization literature focuses on assessment of visual representations with regard to their effectiveness for understanding data. In the present work, we instead focus on making data visualization experiences more enjoyable, to foster deeper engagement with data. We investigate two strategies to make visu...	false	false	[ "Hugo Romat", "Nathalie Henry Riche", "Christophe Hurter", "Steven Mark Drucker", "Fereshteh Amini", "Ken Hinckley" ]	[]	[]	[]
CHI	2,020	Debugging Database Queries: A Survey of Tools, Techniques, and Users	10.1145/3313831.3376485	Database management systems (or DBMSs) have been around for decades, and yet are still difficult to use, particularly when trying to identify and fix errors in user programs (or queries). We seek to understand what methods have been proposed to help people debug database queries, and whether these techniques have ultim...	false	false	[ "Sneha Gathani", "Peter Lim", "Leilani Battle" ]	[]	[]	[]
CHI	2,020	Decipher: An Interactive Visualization Tool for Interpreting Unstructured Design Feedback from Multiple Providers	10.1145/3313831.3376380	Feedback from diverse audiences can vary in focus, differ in structure, and contradict each other, making it hard to interpret and act on. While prior work has explored generating quality feedback, our work helps a designer interpret that feedback. Through a formative study with professional designers (N=10), we discov...	false	false	[ "Yu-Chun (Grace) Yen", "Joy O. Kim", "Brian P. Bailey" ]	[]	[]	[]
CHI	2,020	Design Study "Lite" Methodology: Expediting Design Studies and Enabling the Synergy of Visualization Pedagogy and Social Good	10.1145/3313831.3376829	Design studies are frequently used to conduct problem-driven visualization research by working with real-world domain experts. In visualization pedagogy, design studies are often introduced but rarely practiced due to their large time requirements. This limits students to a classroom curriculum, often involving project...	false	false	[ "Uzma Haque Syeda", "Prasanth Murali", "Lisa Roe", "Becca Berkey", "Michelle A. Borkin" ]	[ "BP" ]	[]	[]
CHI	2,020	DFSeer: A Visual Analytics Approach to Facilitate Model Selection for Demand Forecasting	10.1145/3313831.3376866	Selecting an appropriate model to forecast product demand is critical to the manufacturing industry. However, due to the data complexity, market uncertainty and users' demanding requirements for the model, it is challenging for demand analysts to select a proper model. Although existing model selection methods can redu...	false	false	[ "Dong Sun 0001", "Zezheng Feng", "Yuanzhe Chen", "Yong Wang 0021", "Jia Zeng", "Mingxuan Yuan", "Ting-Chuen Pong", "Huamin Qu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2005.03244v1", "icon": "paper" } ]
CHI	2,020	DoughNets: Visualising Networks Using Torus Wrapping	10.1145/3313831.3376180	We investigate visualisations of networks on a 2-dimensional torus topology, like an opened-up and flattened doughnut. That is, the network is drawn on a rectangular area while "wrapping" specific links around the border. Previous work on torus drawings of networks has been mostly theoretical, limited to certain classe...	false	false	[ "Kun-Ting Chen", "Tim Dwyer", "Kim Marriott", "Benjamin Bach" ]	[]	[]	[]
CHI	2,020	Du Bois Wrapped Bar Chart: Visualizing Categorical Data with Disproportionate Values	10.1145/3313831.3376365	We propose a visualization technique, Du Bois wrapped bar chart, inspired by work of W.E.B Du Bois. Du Bois wrapped bar charts enable better large-to-small bar comparison by wrapping large bars over a certain threshold. We first present two crowdsourcing experiments comparing wrapped and standard bar charts to evaluate...	false	false	[ "Alireza Karduni", "Ryan Wesslen", "Isaac Cho", "Wenwen Dou" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2001.03271v2", "icon": "paper" } ]
CHI	2,020	Dziban: Balancing Agency & Automation in Visualization Design via Anchored Recommendations	10.1145/3313831.3376880	Visualization recommender systems attempt to automate design decisions spanning choices of selected data, transformations, and visual encodings. However, across invocations such recommenders may lack the context of prior results, producing unstable outputs that override earlier design choices. To better balance automat...	false	false	[ "Halden Lin", "Dominik Moritz", "Jeffrey Heer" ]	[]	[]	[]
CHI	2,020	Ecology Meets Computer Science: Designing Tools to Reconcile People, Data, and Practices	10.1145/3313831.3376663	Ecoacoustics draws together computer scientists and ecologists to achieve an understanding of ecosystems and wildlife using acoustic recordings of the environment. Computer scientists are challenged to manage increasingly large datasets while developing analytic and visualisation tools. Ecologists struggle to find and ...	false	false	[ "Kellie Vella", "Jessica L. Oliver", "Tshering Dema", "Margot Brereton", "Paul Roe" ]	[]	[]	[]
CHI	2,020	Embodied Axes: Tangible, Actuated Interaction for 3D Augmented Reality Data Spaces	10.1145/3313831.3376613	We present Embodied Axes, a controller which supports selection operations for 3D imagery and data visualisations in Augmented Reality. The device is an embodied representation of a 3D data space -- each of its three orthogonal arms corresponds to a data axis or domain specific frame of reference. Each axis is composed...	false	false	[ "Maxime Cordeil", "Benjamin Bach", "Andrew Cunningham", "Bastian Montoya", "Ross T. Smith", "Bruce H. Thomas", "Tim Dwyer" ]	[]	[]	[]
CHI	2,020	Evaluating Multivariate Network Visualization Techniques Using a Validated Design and Crowdsourcing Approach	10.1145/3313831.3376381	Visualizing multivariate networks is challenging because of the trade-offs necessary for effectively encoding network topology and encoding the attributes associated with nodes and edges. A large number of multivariate network visualization techniques exist, yet there is little empirical guidance on their respective st...	false	false	[ "Carolina Nobre", "Dylan Wootton", "Lane Harrison", "Alexander Lex" ]	[]	[]	[]
CHI	2,020	Evaluating the Effect of Timeline Shape on Visualization Task Performance	10.1145/3313831.3376237	Timelines are commonly represented on a horizontal line, which is not necessarily the most effective way to visualize temporal event sequences. However, few experiments have evaluated how timeline shape influences task performance. We present the design and results of a controlled experiment run on Amazon Mechanical Tu...	false	false	[ "Sara Di Bartolomeo", "Aditeya Pandey", "Aristotelis Leventidis", "David Saffo", "Uzma Haque Syeda", "Elín Carstensdóttir", "Magy Seif El-Nasr", "Michelle A. Borkin", "Cody Dunne" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2005.06039v1", "icon": "paper" } ]
CHI	2,020	Evaluation of a Financial Portfolio Visualization using Computer Displays and Mixed Reality Devices with Domain Experts	10.1145/3313831.3376556	With the advent of mixed reality devices such as the Microsoft HoloLens, developers have been faced with the challenge to utilize the third dimension in information visualization effectively. Research on stereoscopic devices has shown that three-dimensional representation can improve accuracy in specific tasks (e.g., n...	false	false	[ "Kay Schröder", "Batoul Ajdadilish", "Alexander P. Henkel", "André Calero Valdez" ]	[]	[]	[]
CHI	2,020	FDHelper: Assist Unsupervised Fraud Detection Experts with Interactive Feature Selection and Evaluation	10.1145/3313831.3376140	Online fraud is the well-known dark side of the modern Internet. Unsupervised fraud detection algorithms are widely used to address this problem. However, selecting features, adjusting hyperparameters, evaluating the algorithms, and eliminating false positives all require human expert involvement. In this work, we desi...	false	false	[ "Jiao Sun", "Yin Li", "Charley Chen", "Jihae Lee", "Xin Liu", "Zhongping Zhang", "Ling Huang", "Lei Shi 0002", "Wei Xu 0005" ]	[]	[]	[]
CHI	2,020	From Data to Insights: A Layered Storytelling Approach for Multimodal Learning Analytics	10.1145/3313831.3376148	Significant progress to integrate and analyse multimodal data has been carried out in the last years. Yet, little research has tackled the challenge of visualising and supporting the sensemaking of multimodal data to inform teaching and learning. It is naïve to expect that simply by rendering multiple data streams visu...	false	false	[ "Roberto Martínez Maldonado", "Vanessa Echeverría", "Gloria Fernández-Nieto", "Simon Buckingham Shum" ]	[]	[]	[]
CHI	2,020	Genie in the Bottle: Anthropomorphized Perceptions of Conversational Agents	10.1145/3313831.3376665	This paper presents a qualitative multi-phase study seeking to identify patterns in users' anthropomorphized perceptions of conversational agents. Through a comparative analysis of behavioral perceptions and visual conceptions of three agents - Alexa, Google Assistant, and Siri - we first show that the perceptions of a...	false	false	[ "Anastasia Kuzminykh", "Jenny Sun", "Nivetha Govindaraju", "Jeff Avery", "Edward Lank" ]	[]	[]	[]
CHI	2,020	GoTree: A Grammar of Tree Visualizations	10.1145/3313831.3376297	We present GoTree, a declarative grammar allowing users to instantiate tree visualizations by specifying three aspects: visual elements, layout, and coordinate system. Within the set of all possible tree visualization techniques, we identify a subset of techniques that are both "unit-decomposable" and "axis-decomposabl...	false	false	[ "Guozheng Li 0002", "Min Tian", "Qinmei Xu 0001", "Michael J. McGuffin", "Xiaoru Yuan" ]	[]	[]	[]
CHI	2,020	Heatmaps, Shadows, Bubbles, Rays: Comparing Mid-Air Pen Position Visualizations in Handheld AR	10.1145/3313831.3376848	In Handheld Augmented Reality, users look at AR scenes through the smartphone held in their hand. In this setting, having a mid-air pointing device like a pen in the other hand greatly expands the interaction possibilities. For example, it lets users create 3D sketches and models while on the go. However, perceptual is...	false	false	[ "Philipp Wacker", "Adrian Wagner", "Simon Voelker", "Jan O. Borchers" ]	[]	[]	[]
CHI	2,020	How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results	10.1145/3313831.3376454	When presenting visualizations of experimental results, scientists often choose to display either inferential uncertainty (e.g., uncertainty in the estimate of a population mean) or outcome uncertainty (e.g., variation of outcomes around that mean) about their estimates. How does this choice impact readers' beliefs abo...	false	false	[ "Jake M. Hofman", "Daniel G. Goldstein", "Jessica Hullman" ]	[ "HM" ]	[]	[]
CHI	2,020	InChorus: Designing Consistent Multimodal Interactions for Data Visualization on Tablet Devices	10.1145/3313831.3376782	While tablet devices are a promising platform for data visualization, supporting consistent interactions across different types of visualizations on tablets remains an open challenge. In this paper, we present multimodal interactions that function consistently across different visualizations, supporting common operatio...	false	false	[ "Arjun Srinivasan", "Bongshin Lee", "Nathalie Henry Riche", "Steven Mark Drucker", "Ken Hinckley" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2001.06423v1", "icon": "paper" } ]
CHI	2,020	Interacting with Literary Style through Computational Tools	10.1145/3313831.3376730	Style is an important aspect of writing, shaping how audiences interpret and engage with literary works. However, for most people style is difficult to articulate precisely. While users frequently interact with computational word processing tools with well-defined metrics, such as spelling and grammar checkers, style i...	false	false	[ "Sarah Sterman", "Evey Huang", "Vivian Liu", "Eric Paulos" ]	[]	[]	[]
CHI	2,020	Interaction Techniques for Visual Exploration Using Embedded Word-Scale Visualizations	10.1145/3313831.3376842	We describe a design space of view manipulation interactions for small data-driven contextual visualizations (word-scale visualizations). These interaction techniques support an active reading experience and engage readers through exploration of embedded visualizations whose placement and content connect them to specif...	false	false	[ "Pascal Goffin", "Tanja Blascheck", "Petra Isenberg", "Wesley Willett" ]	[]	[]	[]
CHI	2,020	Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning	10.1145/3313831.3376219	Machine learning (ML) models are now routinely deployed in domains ranging from criminal justice to healthcare. With this newfound ubiquity, ML has moved beyond academia and grown into an engineering discipline. To that end, interpretability tools have been designed to help data scientists and machine learning practiti...	false	false	[ "Harmanpreet Kaur", "Harsha Nori", "Samuel Jenkins", "Rich Caruana", "Hanna M. Wallach", "Jennifer Wortman Vaughan" ]	[ "HM" ]	[]	[]
CHI	2,020	Investigating Collaborative Exploration of Design Alternatives on a Wall-Sized Display	10.1145/3313831.3376736	Industrial design review is an iterative process which mainly relies on two steps involving many stakeholders: design discussion and CAD data adjustment. We investigate how a wall-sized display could be used to merge these two steps by allowing multidisciplinary collaborators to simultaneously generate and explore desi...	false	false	[ "Yujiro Okuya", "Olivier Gladin", "Nicolas Ladevèze", "Cédric Fleury", "Patrick Bourdot" ]	[]	[]	[]
CHI	2,020	MaraVis: Representation and Coordinated Intervention of Medical Encounters in Urban Marathon	10.1145/3313831.3376281	There is an increased use of Internet-of-Things and wearable sensing devices in the urban marathon to ensure effective response to unforeseen medical needs. However, the massive amount of real-time, heterogeneous movement and psychological data of runners impose great challenges on prompt medical incident analysis and ...	false	false	[ "Quan Li", "Huanbin Lin", "Xiguang Wei", "Yangkun Huang", "Lixin Fan", "Jian Du", "Xiaojuan Ma", "Tianjian Chen" ]	[]	[]	[]
CHI	2,020	Move Your Body: Engaging Museum Visitors with Human-Data Interaction	10.1145/3313831.3376186	Museums have embraced embodied interaction: its novelty generates buzz and excitement among their patrons, and it has enormous educational potential. Human-Data Interaction (HDI) is a class of embodied interactions that enables people to explore large sets of data using interactive visualizations that users control wit...	false	false	[ "Milka Trajkova", "A'aeshah Alhakamy", "Francesco Cafaro", "Rashmi Mallappa", "Sreekanth R. Kankara" ]	[]	[]	[]
CHI	2,020	MRAT: The Mixed Reality Analytics Toolkit	10.1145/3313831.3376330	Significant tool support exists for the development of mixed reality (MR) applications; however, there is a lack of tools for analyzing MR experiences. We elicit requirements for future tools through interviews with 8 university research, instructional, and media teams using AR/VR in a variety of domains. While we find...	false	false	[ "Michael Nebeling", "Maximilian Speicher", "Xizi Wang", "Shwetha Rajaram", "Brian D. Hall", "Zijian Xie", "Alexander R. E. Raistrick", "Michelle Aebersold", "Edward G. Happ", "Jiayin Wang", "Yanan Sun", "Lotus Zhang", "Leah E. Ramsier", "Rhea Kulkarni" ]	[ "BP" ]	[]	[]
CHI	2,020	Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis	10.1145/3313831.3376533	Drawing reliable inferences from data involves many, sometimes arbitrary, decisions across phases of data collection, wrangling, and modeling. As different choices can lead to diverging conclusions, understanding how researchers make analytic decisions is important for supporting robust and replicable analysis. In this...	false	false	[ "Yang Liu 0136", "Tim Althoff", "Jeffrey Heer" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1910.13602v3", "icon": "paper" } ]
CHI	2,020	Prior Setting in Practice: Strategies and Rationales Used in Choosing Prior Distributions for Bayesian Analysis	10.1145/3313831.3376377	Bayesian statistical analysis is steadily growing in popularity and use. Choosing priors is an integral part of Bayesian inference. While there exist extensive normative recommendations for prior setting, little is known about how priors are chosen in practice. We conducted a survey (N = 50) and interviews (N = 9) wher...	false	false	[ "Abhraneel Sarma", "Matthew Kay 0001" ]	[]	[]	[]
CHI	2,020	Progression Maps: Conceptualizing Narrative Structure for Interaction Design Support	10.1145/3313831.3376527	Interactive narratives are frequently designed for learning and training applications, such as social training. In these contexts, designers may be inexperienced in storytelling and interaction design, and it may be difficult to quickly build an effective experience, even for experienced designers. Designers often appr...	false	false	[ "Elín Carstensdóttir", "Nathan Partlan", "Steven C. Sutherland", "Tyler Duke", "Erika Ferris", "Robin M. Richter", "Maria Jose Valladares", "Magy Seif El-Nasr" ]	[]	[]	[]
CHI	2,020	Projection Boxes: On-the-fly Reconfigurable Visualization for Live Programming	10.1145/3313831.3376494	Live programming is a regime in which the programming environment provides continual feedback, most often in the form of runtime values. In this paper, we present Projection Boxes, a novel visualization technique for displaying runtime values of programs. The key idea behind projection boxes is to start with a full sem...	false	false	[ "Sorin Lerner" ]	[]	[]	[]
CHI	2,020	Pushing the (Visual) Narrative: The Effects of Prior Knowledge Elicitation in Provocative Topics	10.1145/3313831.3376887	Narrative visualization is a popular style of data-driven storytelling. Authors use this medium to engage viewers with complex and sometimes controversial issues. A challenge for authors is to not only deliver new information, but to also overcome people's biases and misconceptions. We study how people adjust their att...	false	false	[ "Jeremy Heyer", "Nirmal Kumar Raveendranath", "Khairi Reda" ]	[]	[]	[]
CHI	2,020	QMaps: Engaging Students in Voluntary Question Generation and Linking	10.1145/3313831.3376882	Generating multiple-choice questions is known to improve students' critical thinking and deep learning. Visualizing relationships between concepts enhances meaningful learning, students' ability to relate new concepts to previously learned concepts. We designed and deployed a collaborative learning process through whic...	false	false	[ "Iman YeckehZaare", "Tirdad Barghi", "Paul Resnick" ]	[]	[]	[]
CHI	2,020	RunAhead: Exploring Head Scanning based Navigation for Runners	10.1145/3313831.3376828	Navigation systems for runners commonly provide turn-by-turn directions via voice and/or map-based visualizations. While voice directions require permanent attention, map-based guidance requires regular consultation. Both disrupt the running activity. To address this, we designed RunAhead, a navigation system using hea...	false	false	[ "Danilo Gallo", "Shreepriya Shreepriya", "Jutta Willamowski" ]	[]	[]	[]
CHI	2,020	See, Feel, Move: Player Behaviour Analysis through Combined Visualization of Gaze, Emotions, and Movement	10.1145/3313831.3376401	Playtesting of games often relies on a mixed-methods approach to obtain more holistic insights about and, in turn, improve the player experience. However, triangulating the different data sources and visualizing them in an integrated manner such that they contextualize each other still proves challenging. Despite its p...	false	false	[ "Daniel Kepplinger", "Günter Wallner", "Simone Kriglstein", "Michael Lankes" ]	[ "HM" ]	[]	[]
CHI	2,020	Surfacing Visualization Mirages	10.1145/3313831.3376420	Dirty data and deceptive design practices can undermine, invert, or invalidate the purported messages of charts and graphs. These failures can arise silently: a conclusion derived from a particular visualization may look plausible unless the analyst looks closer and discovers an issue with the backing data, visual spec...	false	false	[ "Andrew M. McNutt", "Gordon L. Kindlmann", "Michael Correll" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2001.02316v1", "icon": "paper" } ]
CHI	2,020	Tactile Presentation of Network Data: Text, Matrix or Diagram?	10.1145/3313831.3376367	Visualisations are commonly used to understand social, biological and other kinds of networks. Currently we do not know how to effectively present network data to people who are blind or have low-vision (BLV). We ran a controlled study with 8 BLV participants comparing four tactile representations: organic node-link di...	false	false	[ "Yalong Yang 0001", "Kim Marriott", "Matthew Butler 0002", "Cagatay Goncu", "Leona Holloway" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2003.14274v1", "icon": "paper" } ]
CHI	2,020	Techniques for Flexible Responsive Visualization Design	10.1145/3313831.3376777	Responsive visualizations adapt to effectively present information based on the device context. Such adaptations are essential for news content that is increasingly consumed on mobile devices. However, existing tools provide little support for responsive visualization design. We analyze a corpus of 231 responsive news ...	false	false	[ "Jane Hoffswell", "Wilmot Li", "Zhicheng Liu 0001" ]	[ "BP" ]	[]	[]
CHI	2,020	Toward Automated Feedback on Teacher Discourse to Enhance Teacher Learning	10.1145/3313831.3376418	Like anyone, teachers need feedback to improve. Due to the high cost of human classroom observation, teachers receive infrequent feedback which is often more focused on evaluating performance than on improving practice. To address this critical barrier to teacher learning, we aim to provide teachers with detailed and a...	false	false	[ "Emily Jensen", "Meghan Dale", "Patrick J. Donnelly", "Cathlyn Stone", "Sean Kelly", "Amanda Godley", "Sidney K. D'Mello" ]	[]	[]	[]
CHI	2,020	Towards an Understanding of Augmented Reality Extensions for Existing 3D Data Analysis Tools	10.1145/3313831.3376657	We present an observational study with domain experts to understand how augmented reality (AR) extensions to traditional PC-based data analysis tools can help particle physicists to explore and understand 3D data. Our goal is to allow researchers to integrate stereoscopic AR-based visual representations and interaction...	false	false	[ "Xiyao Wang", "Lonni Besançon", "David Rousseau", "Mickaël Sereno", "Mehdi Ammi", "Tobias Isenberg 0001" ]	[]	[]	[]
CHI	2,020	Truncating the Y-Axis: Threat or Menace?	10.1145/3313831.3376222	Bar charts with y-axes that don't begin at zero can visually exaggerate effect sizes. However, advice for whether or not to truncate the y-axis can be equivocal for other visualization types. In this paper we present examples of visualizations where this y-axis truncation can be beneficial as well as harmful, depending...	false	false	[ "Michael Correll", "Enrico Bertini", "Steven Franconeri" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.02035v2", "icon": "paper" } ]
CHI	2,020	Understanding and Visualizing Data Iteration in Machine Learning	10.1145/3313831.3376177	Successful machine learning (ML) applications require iterations on both modeling and the underlying data. While prior visualization tools for ML primarily focus on modeling, our interviews with 23 ML practitioners reveal that they improve model performance frequently by iterating on their data (e.g., collecting new da...	false	false	[ "Fred Hohman", "Kanit Wongsuphasawat", "Mary Beth Kery", "Kayur Patel" ]	[]	[]	[]
CHI	2,020	Unwind: Interactive Fish Straightening	10.1145/3313831.3376846	The ScanAllFish project is a large-scale effort to scan all the world's 33,100 known species of fishes. It has already generated thousands of volumetric CT scans of fish species which are available on open access platforms such as the Open Science Framework. To achieve a scanning rate required for a project of this mag...	false	false	[ "Francis Williams", "Alexander Bock 0002", "Harish Doraiswamy", "Cassandra M. Donatelli", "Kayla Hall", "Adam Summers", "Daniele Panozzo", "Cláudio T. Silva" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1904.04890v2", "icon": "paper" } ]
CHI	2,020	Watch+Strap: Extending Smartwatches with Interactive StrapDisplays	10.1145/3313831.3376199	While smartwatches are widely adopted these days, their input and output space remains fairly limited by their screen size. We present StrapDisplays-interactive watchbands with embedded display and touch technologies-that enhance commodity watches and extend their input and output capabilities. After introducing the ph...	false	false	[ "Konstantin Klamka", "Tom Horak", "Raimund Dachselt" ]	[]	[]	[]
CHI	2,020	What's Wrong with Computational Notebooks? Pain Points, Needs, and Design Opportunities	10.1145/3313831.3376729	Computational notebooks - such as Azure, Databricks, and Jupyter - are a popular, interactive paradigm for data scientists to author code, analyze data, and interleave visualizations, all within a single document. Nevertheless, as data scientists incorporate more of their activities into notebooks, they encounter unexp...	false	false	[ "Souti Chattopadhyay", "Ishita Prasad", "Austin Z. Henley", "Anita Sarma", "Titus Barik" ]	[ "HM" ]	[]	[]
CHI	2,020	Would you do it?: Enacting Moral Dilemmas in Virtual Reality for Understanding Ethical Decision-Making	10.1145/3313831.3376788	A moral dilemma is a decision-making paradox without unambiguously acceptable or preferable options. This paper investigates if and how the virtual enactment of two renowned moral dilemmas---the Trolley and the Mad Bomber---influence decision-making when compared with mentally visualizing such situations. We conducted ...	false	false	[ "Evangelos Niforatos", "Adam Palma", "Roman Gluszny", "Athanasios Vourvopoulos", "Fotis Liarokapis" ]	[]	[]	[]
VAST	2,019	A Natural-language-based Visual Query Approach of Uncertain Human Trajectories	10.1109/TVCG.2019.2934671	Visual querying is essential for interactively exploring massive trajectory data. However, the data uncertainty imposes profound challenges to fulfill advanced analytics requirements. On the one hand, many underlying data does not contain accurate geographic coordinates, e.g., positions of a mobile phone only refer to ...	false	false	[ "Zhaosong Huang", "Ye Zhao 0003", "Wei Chen 0001", "Shengjie Gao", "Kejie Yu", "Weixia Xu", "MingJie Tang", "Min-Feng Zhu", "Mingliang Xu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00277v2", "icon": "paper" } ]
VAST	2,019	Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures	10.1109/TVCG.2019.2934261	The performance of deep learning models is dependent on the precise configuration of many layers and parameters. However, there are currently few systematic guidelines for how to configure a successful model. This means model builders often have to experiment with different configurations by manually programming differ...	false	false	[ "Dylan Cashman", "Adam Perer", "Remco Chang", "Hendrik Strobelt" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00387v1", "icon": "paper" } ]
VAST	2,019	AirVis: Visual Analytics of Air Pollution Propagation	10.1109/TVCG.2019.2934670	Air pollution has become a serious public health problem for many cities around the world. To find the causes of air pollution, the propagation processes of air pollutants must be studied at a large spatial scale. However, the complex and dynamic wind fields lead to highly uncertain pollutant transportation. The state-...	false	false	[ "Zikun Deng", "Di Weng", "Jiahui Chen", "Ren Liu", "Zhibin Wang", "Jie Bao 0003", "Yu Zheng 0004", "Yingcai Wu" ]	[]	[]	[]
VAST	2,019	CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems	10.1109/TVCG.2019.2934613	Detecting and analyzing potential anomalous performances in cloud computing systems is essential for avoiding losses to customers and ensuring the efficient operation of the systems. To this end, a variety of automated techniques have been developed to identify anomalies in cloud computing. These techniques are usually...	false	false	[ "Ke Xu", "Yun Wang 0012", "Leni Yang", "Yifang Wang 0001", "Bo Qiao 0001", "Si Qin", "Yong Xu", "Haidong Zhang", "Huamin Qu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.13187v1", "icon": "paper" } ]
VAST	2,019	CourtTime: Generating Actionable Insights into Tennis Matches Using Visual Analytics	10.1109/TVCG.2019.2934243	Tennis players and coaches of all proficiency levels seek to understand and improve their play. Summary statistics alone are inadequate to provide the insights players need to improve their games. Spatio-temporal data capturing player and ball movements is likely to provide the actionable insights needed to identify pl...	false	false	[ "Tom Polk", "Dominik Jäckle", "Johannes Häußler", "Jing Yang" ]	[]	[]	[]
VAST	2,019	Do What I Mean, Not What I Say! Design Considerations for Supporting Intent and Context in Analytical Conversation	10.1109/VAST47406.2019.8986918	Natural language can be a useful modality for creating and interacting with visualizations but users often have unrealistic expectations about the intelligence of natural language systems. The gulf between user expectations and system capabilities may lead to a disappointing user experience. So - if we want to engineer...	false	false	[ "Melanie Tory", "Vidya Setlur" ]	[]	[]	[]
VAST	2,019	EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos	10.1109/TVCG.2019.2934656	Emotions play a key role in human communication and public presentations. Human emotions are usually expressed through multiple modalities. Therefore, exploring multimodal emotions and their coherence is of great value for understanding emotional expressions in presentations and improving presentation skills. However, ...	false	false	[ "Haipeng Zeng", "Xingbo Wang 0001", "Aoyu Wu", "Yong Wang 0021", "Quan Li", "Alex Endert", "Huamin Qu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.12918v2", "icon": "paper" } ]
VAST	2,019	Evaluating Perceptual Bias During Geometric Scaling of Scatterplots	10.1109/TVCG.2019.2934208	Scatterplots are frequently scaled to fit display areas in multi-view and multi-device data analysis environments. A common method used for scaling is to enlarge or shrink the entire scatterplot together with the inside points synchronously and proportionally. This process is called geometric scaling. However, geometri...	false	false	[ "Yating Wei", "Honghui Mei", "Ying Zhao 0001", "Shuyue Zhou", "Bingru Lin", "Haojing Jiang", "Wei Chen 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00403v2", "icon": "paper" } ]
VAST	2,019	explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning	10.1109/TVCG.2019.2934629	We propose a framework for interactive and explainable machine learning that enables users to (1) understand machine learning models; (2) diagnose model limitations using different explainable AI methods; as well as (3) refine and optimize the models. Our framework combines an iterative XAI pipeline with eight global m...	false	false	[ "Thilo Spinner", "Udo Schlegel", "Hanna Hauptmann", "Mennatallah El-Assady" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00087v2", "icon": "paper" } ]
VAST	2,019	Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics	10.1109/TVCG.2019.2934631	Machine learning models are currently being deployed in a variety of real-world applications where model predictions are used to make decisions about healthcare, bank loans, and numerous other critical tasks. As the deployment of artificial intelligence technologies becomes ubiquitous, it is unsurprising that adversari...	false	false	[ "Yuxin Ma", "Tiankai Xie", "Jundong Li", "Ross Maciejewski" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.07296v4", "icon": "paper" } ]
VAST	2,019	Exploranative Code Quality Documents	10.1109/TVCG.2019.2934669	Good code quality is a prerequisite for efficiently developing maintainable software. In this paper, we present a novel approach to generate exploranative (explanatory and exploratory) data-driven documents that report code quality in an interactive, exploratory environment. We employ a template-based natural language ...	false	false	[ "Haris Mumtaz", "Shahid Latif", "Fabian Beck 0001", "Daniel Weiskopf" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.11481v2", "icon": "paper" } ]
VAST	2,019	Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel Image Data	10.1109/TVCG.2019.2934547	Facetto is a scalable visual analytics application that is used to discover single-cell phenotypes in high-dimensional multi-channel microscopy images of human tumors and tissues. Such images represent the cutting edge of digital histology and promise to revolutionize how diseases such as cancer are studied, diagnosed,...	false	false	[ "Robert Krüger", "Johanna Beyer", "Won-Dong Jang", "Nam Wook Kim", "Artem Sokolov", "Peter K. Sorger", "Hanspeter Pfister" ]	[]	[]	[]
VAST	2,019	FairSight: Visual Analytics for Fairness in Decision Making	10.1109/TVCG.2019.2934262	Data-driven decision making related to individuals has become increasingly pervasive, but the issue concerning the potential discrimination has been raised by recent studies. In response, researchers have made efforts to propose and implement fairness measures and algorithms, but those efforts have not been translated ...	false	false	[ "Yongsu Ahn", "Yu-Ru Lin" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00176v2", "icon": "paper" } ]
VAST	2,019	FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning	10.1109/VAST47406.2019.8986948	The growing capability and accessibility of machine learning has led to its application to many real-world domains and data about people. Despite the benefits algorithmic systems may bring, models can reflect, inject, or exacerbate implicit and explicit societal biases into their outputs, disadvantaging certain demogra...	false	false	[ "Ángel Alexander Cabrera", "Will Epperson", "Fred Hohman", "Minsuk Kahng", "Jamie Morgenstern", "Polo Chau" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1904.05419v4", "icon": "paper" } ]
VAST	2,019	FDive: Learning Relevance Models Using Pattern-based Similarity Measures	10.1109/VAST47406.2019.8986940	The detection of interesting patterns in large high-dimensional datasets is difficult because of their dimensionality and pattern complexity. Therefore, analysts require automated support for the extraction of relevant patterns. In this paper, we present FDive, a visual active learning system that helps to create visua...	false	false	[ "Frederik L. Dennig", "Tom Polk", "Zudi Lin", "Tobias Schreck", "Hanspeter Pfister", "Michael Behrisch 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.12489v3", "icon": "paper" } ]
VAST	2,019	FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System	10.1109/TVCG.2019.2934668	Dataflow visualization systems enable flexible visual data exploration by allowing the user to construct a dataflow diagram that composes query and visualization modules to specify system functionality. However learning dataflow diagram usage presents overhead that often discourages the user. In this work we design Flo...	false	false	[ "Bowen Yu 0004", "Cláudio T. Silva" ]	[ "BP" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00681v2", "icon": "paper" } ]
VAST	2,019	Galex: Exploring the Evolution and Intersection of Disciplines	10.1109/TVCG.2019.2934667	Revealing the evolution of science and the intersections among its sub-fields is extremely important to understand the characteristics of disciplines, discover new topics, and predict the future. The current work focuses on either building the skeleton of science, lacking interaction, detailed exploration and interpret...	false	false	[ "Zeyu Li 0003", "Changhong Zhang", "Shichao Jia", "Jiawan Zhang" ]	[]	[]	[]
VAST	2,019	GPGPU Linear Complexity t-SNE Optimization	10.1109/TVCG.2019.2934307	In recent years the t-distributed Stochastic Neighbor Embedding (t-SNE) algorithm has become one of the most used and insightful techniques for exploratory data analysis of high-dimensional data. It reveals clusters of high-dimensional data points at different scales while only requiring minimal tuning of its parameter...	false	false	[ "Nicola Pezzotti", "Julian Thijssen", "Alexander Mordvintsev", "Thomas Höllt", "Baldur van Lew", "Boudewijn P. F. Lelieveldt", "Elmar Eisemann", "Anna Vilanova" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1805.10817v2", "icon": "paper" } ]
VAST	2,019	GUIRO: User-Guided Matrix Reordering	10.1109/TVCG.2019.2934300	Matrix representations are one of the main established and empirically proven to be effective visualization techniques for relational (or network) data. However, matrices—similar to node-link diagrams—are most effective if their layout reveals the underlying data topology. Given the many developed algorithms, a practic...	false	false	[ "Michael Behrisch 0001", "Tobias Schreck", "Hanspeter Pfister" ]	[]	[]	[]
VAST	2,019	ICE: An Interactive Configuration Explorer for High Dimensional Categorical Parameter Spaces	10.1109/VAST47406.2019.8986923	There are many applications where users seek to explore the impact of the settings of several categorical variables with respect to one dependent numerical variable. For example, a computer systems analyst might want to study how the type of file system or storage device affects system performance. A usual choice is th...	false	false	[ "Anjul Tyagi", "Zhen Cao", "Tyler Estro", "Erez Zadok", "Klaus Mueller 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.12627v2", "icon": "paper" } ]
VAST	2,019	Influence Flowers of Academic Entities	10.1109/VAST47406.2019.8986934	We present the Influence Flower, a new visual metaphor for the influence profile of academic entities, including people, projects, institutions, conferences, and journals. While many tools quantify influence, we aim to expose the flow of influence between entities. The Influence Flower is an ego-centric graph, with a q...	false	false	[ "Minjeong Shin", "Alexander Soen", "Benjamin T. Readshaw", "Steve Blackburn", "Mitchell Whitelaw", "Lexing Xie" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.12748v1", "icon": "paper" } ]
VAST	2,019	Interactive Correction of Mislabeled Training Data	10.1109/VAST47406.2019.8986943	In this paper, we develop a visual analysis method for interactively improving the quality of labeled data, which is essential to the success of supervised and semi-supervised learning. The quality improvement is achieved through the use of user-selected trusted items. We employ a bi-level optimization model to accurat...	false	false	[ "Shouxing Xiang", "Xi Ye", "Jiazhi Xia", "Jing Wu 0004", "Yang Chen", "Shixia Liu" ]	[]	[]	[]
VAST	2,019	Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness	10.1109/TVCG.2019.2934614	Various domain users are increasingly leveraging real-time social media data to gain rapid situational awareness. However, due to the high noise in the deluge of data, effectively determining semantically relevant information can be difficult, further complicated by the changing definition of relevancy by each end user...	false	false	[ "Luke S. Snyder", "Yi-Shan Lin", "Morteza Karimzadeh", "Dan Goldwasser", "David S. Ebert" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.02588v2", "icon": "paper" } ]
VAST	2,019	LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization	10.1109/TVCG.2019.2934658	LightGuider is a novel guidance-based approach to interactive lighting design, which typically consists of interleaved 3D modeling operations and light transport simulations. Rather than having designers use a trial-and-error approach to match their illumination constraints and aesthetic goals, LightGuider supports the...	false	false	[ "Andreas Walch", "Michael Schwärzler", "Christian Luksch", "Elmar Eisemann", "Theresia Gschwandtner" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.08553v2", "icon": "paper" } ]
VAST	2,019	MetricsVis: A Visual Analytics System for Evaluating Employee Performance in Public Safety Agencies	10.1109/TVCG.2019.2934603	Evaluating employee performance in organizations with varying workloads and tasks is challenging. Specifically, it is important to understand how quantitative measurements of employee achievements relate to supervisor expectations, what the main drivers of good performance are, and how to combine these complex and flex...	false	false	[ "Jieqiong Zhao", "Morteza Karimzadeh", "Luke S. Snyder", "Chittayong Surakitbanharn", "Cheryl Z. Qian", "David S. Ebert" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.13601v3", "icon": "paper" } ]
VAST	2,019	Motion Browser: Visualizing and Understanding Complex Upper Limb Movement Under Obstetrical Brachial Plexus Injuries	10.1109/TVCG.2019.2934280	The brachial plexus is a complex network of peripheral nerves that enables sensing from and control of the movements of the arms and hand. Nowadays, the coordination between the muscles to generate simple movements is still not well understood, hindering the knowledge of how to best treat patients with this type of per...	false	false	[ "Gromit Yeuk-Yin Chan", "Luis Gustavo Nonato", "Alice Chu", "Preeti Raghavan", "Viswanath Aluru", "Cláudio T. Silva" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.09146v1", "icon": "paper" } ]
VAST	2,019	NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation	10.1109/TVCG.2019.2934591	Complex computational models are often designed to simulate real-world physical phenomena in many scientific disciplines. However, these simulation models tend to be computationally very expensive and involve a large number of simulation input parameters, which need to be analyzed and properly calibrated before the mod...	false	false	[ "Subhashis Hazarika", "Haoyu Li", "Ko-Chih Wang", "Han-Wei Shen", "Ching-Shan Chou" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1904.09044v3", "icon": "paper" } ]
VAST	2,019	OD Morphing: Balancing Simplicity with Faithfulness for OD Bundling	10.1109/TVCG.2019.2934657	OD bundling is a promising method to identify key origin-destination (OD) patterns, but the bundling can mislead the interpretation of actual trajectories traveled. We present OD Morphing, an interactive OD bundling technique that improves geographical faithfulness to actual trajectories while preserving visual simplic...	false	false	[ "Yan Lyu", "Xu Liu 0014", "Hanyi Chen", "Arpan Mangal", "Kai Liu 0001", "Chao Chen 0004", "Brian Y. Lim" ]	[]	[]	[]
VAST	2,019	Origraph: Interactive Network Wrangling	10.1109/VAST47406.2019.8986909	Networks are a natural way of thinking about many datasets. The data on which a network is based, however, is rarely collected in a form that suits the analysis process, making it necessary to create and reshape networks. Data wrangling is widely acknowledged to be a critical part of the data analysis pipeline, yet int...	false	false	[ "Alex Bigelow", "Carolina Nobre", "Miriah D. Meyer", "Alexander Lex" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1812.06337v3", "icon": "paper" } ]
VAST	2,019	PlanningVis: A Visual Analytics Approach to Production Planning in Smart Factories	10.1109/TVCG.2019.2934275	Production planning in the manufacturing industry is crucial for fully utilizing factory resources (e.g., machines, raw materials and workers) and reducing costs. With the advent of industry 4.0, plenty of data recording the status of factory resources have been collected and further involved in production planning, wh...	false	false	[ "Dong Sun 0001", "Renfei Huang", "Yuanzhe Chen", "Yong Wang 0021", "Jia Zeng", "Mingxuan Yuan", "Ting-Chuen Pong", "Huamin Qu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.12201v3", "icon": "paper" } ]
VAST	2,019	ProtoSteer: Steering Deep Sequence Model with Prototypes	10.1109/TVCG.2019.2934267	Recently we have witnessed growing adoption of deep sequence models (e.g. LSTMs) in many application domains, including predictive health care, natural language processing, and log analysis. However, the intricate working mechanism of these models confines their accessibility to the domain experts. Their black-box natu...	false	false	[ "Yao Ming", "Panpan Xu", "Furui Cheng", "Huamin Qu", "Ren Liu" ]	[]	[]	[]
VAST	2,019	R-Map: A Map Metaphor for Visualizing Information Reposting Process in Social Media	10.1109/TVCG.2019.2934263	We propose R-Map (Reposting Map), a visual analytical approach with a map metaphor to support interactive exploration and analysis of the information reposting process in social media. A single original social media post can cause large cascades of repostings (i.e., retweets) on online networks, involving thousands, ev...	false	false	[ "Shuai Chen 0001", "Sihang Li", "Siming Chen 0001", "Xiaoru Yuan" ]	[]	[]	[]
VAST	2,019	Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications	10.1109/TVCG.2019.2934594	With the rapid adoption of machine learning techniques for large-scale applications in science and engineering comes the convergence of two grand challenges in visualization. First, the utilization of black box models (e.g., deep neural networks) calls for advanced techniques in exploring and interpreting model behavio...	false	false	[ "Shusen Liu", "Jim Gaffney", "Jayson Luc Peterson", "Peter B. Robinson", "Harsh Bhatia", "Valerio Pascucci", "Brian K. Spears", "Peer-Timo Bremer", "Di Wang", "Dan Maljovec", "Rushil Anirudh", "Jayaraman J. Thiagarajan", "Sam Ade Jacobs", "Brian Van Essen", "David Hysom", "Jae-Seung Ye...	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.08325v1", "icon": "paper" } ]

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