Split (1)

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
CHI	2,023	Speech-Augmented Cone-of-Vision for Exploratory Data Analysis	10.1145/3544548.3581283	Mutual awareness of visual attention is crucial for successful collaboration. Previous research has explored various ways to represent visual attention, such as field-of-view visualizations and cursor visualizations based on eye-tracking, but these methods have limitations. Verbal communication is often utilized as a c...	false	false	[ "Riccardo Bovo", "Daniele Giunchi", "Ludwig Sidenmark", "Joshua Newn", "Hans Gellersen", "Enrico Costanza", "Thomas Heinis" ]	[]	[]	[]
CHI	2,023	The tactile dimension: a method for physicalizing touch behaviors	10.1145/3544548.3581137	Traces of touch provide valuable insight into how we interact with the physical world. Measuring touch behavior, however, is expensive and imprecise. Utilizing a fluorescent UV tracer powder, we developed a low-cost analog method to capture persistent, high-contrast touch records on arbitrary objects. We describe our p...	false	false	[ "Laura J. Perovich", "Bernice E. Rogowitz", "Victoria Crabb", "Jack Vogelsang", "Sara Hartleben", "Dietmar Offenhuber" ]	[]	[]	[]
CHI	2,023	This Watchface Fits with my Tattoos: Investigating Customisation Needs and Preferences in Personal Tracking	10.1145/3544548.3580955	People engage in self-tracking with diverse data collection and visualisation needs and preferences. Customisable self-tracking tools offer the potential to support individualized preferences by letting people make changes to the aesthetics and functionality of tracker displays. In this paper, we use the customisation ...	false	false	[ "Rúben Gouveia 0001", "Daniel A. Epstein" ]	[]	[]	[]
CHI	2,023	Through Their Eyes and In Their Shoes: Providing Group Awareness During Collaboration Across Virtual Reality and Desktop Platforms	10.1145/3544548.3581093	Many collaborative data analysis situations benefit from collaborators utilizing different platforms. However, maintaining group awareness between team members using diverging devices is difficult, not least because common ground diminishes. A person using head-mounted VR cannot physically see a user on a desktop compu...	false	false	[ "David Saffo", "Andrea Batch", "Cody Dunne", "Niklas Elmqvist" ]	[]	[]	[]
CHI	2,023	Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work	10.1145/3544548.3580819	Automated Machine Learning (AutoML) technology can lower barriers in data work yet still requires human intervention to be functional. However, the complex and collaborative process resulting from humans and machines trading off work makes it difficult to trace what was done, by whom (or what), and when. In this resear...	false	false	[ "Jen Rogers", "Anamaria Crisan" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2304.02699v1", "icon": "paper" } ]
CHI	2,023	Troubling Collaboration: Matters of Care for Visualization Design Study	10.1145/3544548.3581168	A common research process in visualization is for visualization researchers to collaborate with domain experts to solve particular applied data problems. While there is existing guidance and expertise around how to structure collaborations to strengthen research contributions, there is comparatively little guidance on ...	false	false	[ "Derya Akbaba", "Devin Lange", "Michael Correll", "Alexander Lex", "Miriah Meyer" ]	[]	[]	[]
CHI	2,023	Tutor In-sight: Guiding and Visualizing Students' Attention with Mixed Reality Avatar Presentation Tools	10.1145/3544548.3581069	Remote conferencing systems are increasingly used to supplement or even replace in-person teaching. However, prevailing conferencing systems restrict the teacher’s representation to a webcam live-stream, hamper the teacher’s use of body-language, and result in students’ decreased sense of co-presence and participation....	false	false	[ "Santawat Thanyadit", "Matthias Heintz 0001", "Effie L.-C. Law" ]	[]	[]	[]
CHI	2,023	UndoPort: Exploring the Influence of Undo-Actions for Locomotion in Virtual Reality on the Efficiency, Spatial Understanding and User Experience	10.1145/3544548.3581557	When we get lost in Virtual Reality (VR) or want to return to a previous location, we use the same methods of locomotion for the way back as for the way forward. This is time-consuming and requires additional physical orientation changes, increasing the risk of getting tangled in the headsets’ cables. In this paper, we...	false	false	[ "Florian Müller 0003", "Arantxa Ye", "Dominik Schön", "Julian Rasch" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2303.15800v2", "icon": "paper" } ]
CHI	2,023	VisLab: Enabling Visualization Designers to Gather Empirically Informed Design Feedback	10.1145/3544548.3581132	When creating a visualization, designers face various conflicting design choices. They typically rely on their hunches to deal with intricate trade-offs or resort to feedback from their colleagues. On the other hand, researchers have long used empirical methods to derive useful quantitative insights into visualization ...	false	false	[ "Jinhan Choi", "Changhoon Oh", "Yea-Seul Kim", "Nam Wook Kim" ]	[]	[]	[]
CHI	2,023	Visual Belief Elicitation Reduces the Incidence of False Discovery	10.1145/3544548.3580808	Visualization supports exploratory data analysis (EDA), but EDA frequently presents spurious charts, which can mislead people into drawing unwarranted conclusions. We investigate interventions to prevent false discovery from visualized data. We evaluate whether eliciting analyst beliefs helps guard against the over-int...	false	false	[ "Ratanond Koonchanok", "Gauri Yatindra Tawde", "Gokul Ragunandhan Narayanasamy", "Shalmali Walimbe", "Khairi Reda" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2301.12512v1", "icon": "paper" } ]
CHI	2,023	Visual Task Performance and Spatial Abilities: An Investigation of Artists and Mathematicians	10.1145/3544548.3580765	This study builds on past research to present a domain-specific empirical investigation of artists and math & computer scientists on their respective relationships to, perceptions of, and interactions with data visualization. We conducted a three-phase study utilizing mixed-methods to investigate performance on visual ...	false	false	[ "Sara Tandon", "Alfie Abdul-Rahman", "Rita Borgo" ]	[]	[]	[]
CHI	2,023	Visualization of Speech Prosody and Emotion in Captions: Accessibility for Deaf and Hard-of-Hearing Users	10.1145/3544548.3581511	Speech is expressive in ways that caption text does not capture, with emotion or emphasis information not conveyed. We interviewed eight Deaf and Hard-of-Hearing (dhh) individuals to understand if and how captions’ inexpressiveness impacts them in online meetings with hearing peers. Automatically captioned speech, we f...	false	false	[ "Caluã de Lacerda Pataca", "Matthew Watkins", "Roshan L. Peiris", "Sooyeon Lee", "Matt Huenerfauth" ]	[]	[]	[]
CHI	2,023	VizProg: Identifying Misunderstandings By Visualizing Students' Coding Progress	10.1145/3544548.3581516	Programming instructors often conduct in-class exercises to help them identify students that are falling behind and surface students’ misconceptions. However, as we found in interviews with programming instructors, monitoring students’ progress during exercises is difficult, particularly for large classes. We present V...	false	false	[ "Ashley Ge Zhang", "Yan Chen 0033", "Steve Oney" ]	[]	[]	[]
CHI	2,023	VRGit: A Version Control System for Collaborative Content Creation in Virtual Reality	10.1145/3544548.3581136	Immersive authoring tools allow users to intuitively create and manipulate 3D scenes while immersed in Virtual Reality (VR). Collaboratively designing these scenes is a creative process that involves numerous edits, explorations of design alternatives, and frequent communication with collaborators. Version Control Syst...	false	false	[ "Lei Zhang", "Ashutosh Agrawal", "Steve Oney", "Anhong Guo" ]	[]	[]	[]
CHI	2,023	We are the Data: Challenges and Opportunities for Creating Demographically Diverse Anthropographics	10.1145/3544548.3581086	Anthropographics are human-shaped visualizations that aim to emphasize the human importance of datasets and the people behind them. However, current anthropographics tend to employ homogeneous human shapes to encode data about diverse demographic groups. Such anthropographics can obscure important differences between g...	false	false	[ "Priya Dhawka", "Helen Ai He", "Wesley Willett" ]	[]	[]	[]
CHI	2,023	When do data visualizations persuade? The impact of prior attitudes on learning about correlations from scatterplot visualizations	10.1145/3544548.3581330	Data visualizations are vital to scientific communication on critical issues such as public health, climate change, and socioeconomic policy. They are often designed not just to inform, but to persuade people to make consequential decisions (e.g., to get vaccinated). Are such visualizations persuasive, especially when ...	false	false	[ "Douglas Markant", "Milad Rogha", "Alireza Karduni", "Ryan Wesslen", "Wenwen Dou" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2302.03776v1", "icon": "paper" } ]
CHI	2,023	Who Do We Mean When We Talk About Visualization Novices?	10.1145/3544548.3581524	As more people rely on visualization to inform their personal and collective decisions, researchers have focused on a broader range of audiences, including “novices.” But successfully applying, interrogating, or advancing visualization research for novices demands a clear understanding of what “novice” means in theory ...	false	false	[ "Alyxander Burns", "Christiana Lee", "Ria Chawla", "Evan Peck", "Narges Mahyar" ]	[ "BP" ]	[]	[]
CHI	2,023	Why Combining Text and Visualization Could Improve Bayesian Reasoning: A Cognitive Load Perspective	10.1145/3544548.3581218	Investigations into using visualization to improve Bayesian reasoning and advance risk communication have produced mixed results, suggesting that cognitive ability might affect how users perform with different presentation formats. Our work examines the cognitive load elicited when solving Bayesian problems using icon ...	false	false	[ "Melanie Bancilhon", "Amanda Wright", "Sunwoo Ha", "R. Jordan Crouser", "Alvitta Ottley" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2302.00707v1", "icon": "paper" } ]
CHI	2,023	Working with Forensic Practitioners to Understand the Opportunities and Challenges for Mixed-Reality Digital Autopsy	10.1145/3544548.3580768	Forensic practitioners analyse intrinsic 3D data daily on 2D screens. We explore novel immersive visualisation techniques that enable digital autopsy through analysis of 3D imagery. We employ a user-centred design process involving four rounds of user feedback: (1) formative interviews eliciting opportunities and requi...	false	false	[ "Vahid Pooryousef", "Maxime Cordeil", "Lonni Besançon", "Christophe Hurter", "Tim Dwyer", "Richard Bassed" ]	[]	[]	[]
CHI	2,023	Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning	10.1145/3544548.3581268	Machine learning models with high accuracy on test data can still produce systematic failures, such as harmful biases and safety issues, when deployed in the real world. To detect and mitigate such failures, practitioners run behavioral evaluation of their models, checking model outputs for specific types of inputs. Be...	false	false	[ "Ángel Alexander Cabrera", "Erica Fu", "Donald Bertucci", "Kenneth Holstein", "Ameet Talwalkar", "Jason I. Hong", "Adam Perer" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2302.04732v1", "icon": "paper" } ]
Vis	2,022	A Comparison of Spatiotemporal Visualizations for 3D Urban Analytics	10.1109/TVCG.2022.3209474	Recent technological innovations have led to an increase in the availability of 3D urban data, such as shadow, noise, solar potential, and earthquake simulations. These spatiotemporal datasets create opportunities for new visualizations to engage experts from different domains to study the dynamic behavior of urban spa...	false	false	[ "Roberta C. Ramos Mota", "Nivan Ferreira", "Julio Daniel Silva", "Marius Horga", "Marcos Lage", "Luis Ceferino", "Usman R. Alim", "Ehud Sharlin", "Fabio Miranda 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.05370v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/TyrUZWjKRw0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/qgoNzM9SeUw", "icon": "video" } ]
Vis	2,022	A Design Space for Surfacing Content Recommendations in Visual Analytic Platforms	10.1109/TVCG.2022.3209445	Recommendation algorithms have been leveraged in various ways within visualization systems to assist users as they perform of a range of information tasks. One common focus for these techniques has been the recommendation of content, rather than visual form, as a means to assist users in the identification of informati...	false	false	[ "Zhilan Zhou", "Wenyuan Wang", "Mengtian Guo", "Yue Wang 0035", "David Gotz" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.04219v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/xzaOTSubu4Y", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/CIdzyf9xHIs", "icon": "video" } ]
Vis	2,022	A Framework for Multiclass Contour Visualization	10.1109/TVCG.2022.3209482	Multiclass contour visualization is often used to interpret complex data attributes in such fields as weather forecasting, computational fluid dynamics, and artificial intelligence. However, effective and accurate representations of underlying data patterns and correlations can be challenging in multiclass contour visu...	false	false	[ "Sihang Li", "Jiacheng Yu", "Mingxuan Li", "Le Liu", "Xiaolong Zhang 0001", "Xiaoru Yuan" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/ZUFIRLy3McE", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/ZTwky8yd_yY", "icon": "video" } ]
Vis	2,022	A Scanner Deeply: Predicting Gaze Heatmaps on Visualizations Using Crowdsourced Eye Movement Data	10.1109/TVCG.2022.3209472	Visual perception is a key component of data visualization. Much prior empirical work uses eye movement as a proxy to understand human visual perception. Diverse apparatus and techniques have been proposed to collect eye movements, but there is still no optimal approach. In this paper, we review 30 prior works for coll...	false	false	[ "Sungbok Shin", "Sunghyo Chung", "Sanghyun Hong 0001", "Niklas Elmqvist" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/kZyUfaertD8", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/W_5DWEkUPeA", "icon": "video" } ]
Vis	2,022	A Unified Comparison of User Modeling Techniques for Predicting Data Interaction and Detecting Exploration Bias	10.1109/TVCG.2022.3209476	The visual analytics community has proposed several user modeling algorithms to capture and analyze users' interaction behavior in order to assist users in data exploration and insight generation. For example, some can detect exploration biases while others can predict data points that the user will interact with befor...	false	false	[ "Sunwoo Ha", "Shayan Monadjemi", "Roman Garnett", "Alvitta Ottley" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.05021v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/ZfXk_wFENmY", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/3c3wp4MtdFQ", "icon": "video" } ]
Vis	2,022	A Visual Analytics System for Improving Attention-based Traffic Forecasting Models	10.1109/TVCG.2022.3209462	With deep learning (DL) outperforming conventional methods for different tasks, much effort has been devoted to utilizing DL in various domains. Researchers and developers in the traffic domain have also designed and improved DL models for forecasting tasks such as estimation of traffic speed and time of arrival. Howev...	false	false	[ "Seungmin Jin", "Hyunwook Lee", "Cheonbok Park", "Hyeshin Chu", "Yunwon Tae", "Jaegul Choo", "Sungahn Ko" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.04350v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/vv-eZ1lHGoo", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/JiObcRiyv9Q", "icon": "video" } ]
Vis	2,022	Affective Learning Objectives for Communicative Visualizations	10.1109/TVCG.2022.3209500	When designing communicative visualizations, we often focus on goals that seek to convey patterns, relations, or comparisons (cognitive learning objectives). We pay less attention to affective intents–those that seek to influence or leverage the audience's opinions, attitudes, or values in some way. Affective objective...	false	false	[ "Elsie Lee-Robbins", "Eytan Adar" ]	[ "BP" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.04078v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/UrW92ubvSdo", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/2MJlzAd9Ua0", "icon": "video" } ]
Vis	2,022	Animated Vega-Lite: Unifying Animation with a Grammar of Interactive Graphics	10.1109/TVCG.2022.3209369	We present Animated Vega-Lite, a set of extensions to Vega-Lite that model animated visualizations as time-varying data queries. In contrast to alternate approaches for specifying animated visualizations, which prize a highly expressive design space, Animated Vega-Lite prioritizes unifying animation with the language's...	false	false	[ "Jonathan Zong", "Josh Pollock", "Dylan Wootton", "Arvind Satyanarayan" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.03869v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Qe3Foy2h3ag", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/3awOHEVAjME", "icon": "video" } ]
Vis	2,022	ASTF: Visual Abstractions of Time-Varying Patterns in Radio Signals	10.1109/TVCG.2022.3209469	A time-frequency diagram is a commonly used visualization for observing the time-frequency distribution of radio signals and analyzing their time-varying patterns of communication states in radio monitoring and management. While it excels when performing short-term signal analyses, it becomes inadaptable for long-term ...	false	false	[ "Ying Zhao 0001", "Luhao Ge", "Huixuan Xie", "Genghuai Bai", "Zhao Zhang", "Qiang Wei", "Yun Lin 0005", "Yuchao Liu", "Fangfang Zhou" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.15223v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/z16ClvSo8lQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Id5k5AXg7is", "icon": "video" } ]
Vis	2,022	BeauVis: A Validated Scale for Measuring the Aesthetic Pleasure of Visual Representations	10.1109/TVCG.2022.3209390	We developed and validated a rating scale to assess the aesthetic pleasure (or beauty) of a visual data representation: the BeauVis scale. With our work we offer researchers and practitioners a simple instrument to compare the visual appearance of different visualizations, unrelated to data or context of use. Our ratin...	false	false	[ "Tingying He", "Petra Isenberg", "Raimund Dachselt", "Tobias Isenberg 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2207.14147v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/QjHI0eHLhRU", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/k9iC6typxYA", "icon": "video" } ]
Vis	2,022	Breaking the Fourth Wall of Data Stories through Interaction	10.1109/TVCG.2022.3209409	Interaction is increasingly integrating into data stories to support data exploration and explanation. Interaction can also be combined with the narrative device, breaking the fourth wall (BTFW), to build a deeper connection between readers and data stories. BTFW interaction directly addresses readers by requiring thei...	false	false	[ "Yang Shi 0007", "Tian Gao", "Xiaohan Jiao", "Nan Cao" ]	[ "HM" ]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/m1MwgbOWVxg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/gqdC0w04wxY", "icon": "video" } ]
Vis	2,022	Calibrate: Interactive Analysis of Probabilistic Model Output	10.1109/TVCG.2022.3209489	Analyzing classification model performance is a crucial task for machine learning practitioners. While practitioners often use count-based metrics derived from confusion matrices, like accuracy, many applications, such as weather prediction, sports betting, or patient risk prediction, rely on a classifier's predicted p...	false	false	[ "Peter Xenopoulos", "João Rulff", "Luis Gustavo Nonato", "Brian Barr", "Cláudio T. Silva" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2207.13770v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/IXfUiI3Lybg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/B55HitnGlw4", "icon": "video" } ]
Vis	2,022	ChartWalk: Navigating large collections of text notes in electronic health records for clinical chart review	10.1109/TVCG.2022.3209444	Before seeing a patient for the first time, healthcare workers will typically conduct a comprehensive clinical chart review of the patient's electronic health record (EHR). Within the diverse documentation pieces included there, text notes are among the most important and thoroughly perused segments for this task; and ...	false	false	[ "Nicole Sultanum", "Farooq Naeem", "Michael Brudno", "Fanny Chevalier" ]	[ "HM" ]	[]	[]
Vis	2,022	CohortVA: A Visual Analytic System for Interactive Exploration of Cohorts based on Historical Data	10.1109/TVCG.2022.3209483	In history research, cohort analysis seeks to identify social structures and figure mobilities by studying the group-based behavior of historical figures. Prior works mainly employ automatic data mining approaches, lacking effective visual explanation. In this paper, we present CohortVA, an interactive visual analytic ...	false	false	[ "Wei Zhang", "Jason K. Wong", "Xumeng Wang", "Youcheng Gong", "Rongchen Zhu", "Kai Liu", "Zihan Yan", "Siwei Tan", "Huamin Qu", "Siming Chen 0001", "Wei Chen 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.09237v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/MlxXPJ5FN1A", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Pyn6-kD13Ho", "icon": "video" } ]
Vis	2,022	Communicating Uncertainty in Digital Humanities Visualization Research	10.1109/TVCG.2022.3209436	Due to their historical nature, humanistic data encompass multiple sources of uncertainty. While humanists are accustomed to handling such uncertainty with their established methods, they are cautious of visualizations that appear overly objective and fail to communicate this uncertainty. To design more trustworthy vis...	false	false	[ "Georgia Panagiotidou", "Houda Lamqaddam", "Jeroen Poblome", "Koenraad Brosens", "Katrien Verbert", "Andrew Vande Moere" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/YlUu-_7EItI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/mqfGYPMD8gE", "icon": "video" } ]
Vis	2,022	Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations	10.1109/TVCG.2022.3209427	This work investigates and compares the performance of node-link diagrams, adjacency matrices, and bipartite layouts for visualizing networks. In a crowd-sourced user study ($\mathrm{n}=150$), we measure the task accuracy and completion time of the three representations for different network classes and properties. In ...	false	false	[ "Moataz Abdelaal", "Nathan Daniel Schiele", "Katrin Angerbauer", "Kuno Kurzhals", "Michael Sedlmair", "Daniel Weiskopf" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.04458v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/QzNWtkJhnzI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/oNKd4xQCG64", "icon": "video" } ]
Vis	2,022	Comparison Conundrum and the Chamber of Visualizations: An Exploration of How Language Influences Visual Design	10.1109/TVCG.2022.3209456	The language for expressing comparisons is often complex and nuanced, making supporting natural language-based visual comparison a non-trivial task. To better understand how people reason about comparisons in natural language, we explore a design space of utterances for comparing data entities. We identified different ...	false	false	[ "Aimen Gaba", "Vidya Setlur", "Arjun Srinivasan", "Jane Hoffswell", "Cindy Xiong" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.03785v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/XYBfY4IU-CI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/yVpPhEb2BNg", "icon": "video" } ]
Vis	2,022	Computing a Stable Distance on Merge Trees	10.1109/TVCG.2022.3209395	Distances on merge trees facilitate visual comparison of collections of scalar fields. Two desirable properties for these distances to exhibit are 1) the ability to discern between scalar fields which other, less complex topological summaries cannot and 2) to still be robust to perturbations in the dataset. The combina...	false	false	[ "Brian Bollen", "Pasindu Tennakoon", "Joshua A. Levine" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2210.08644v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/TWudEI4tBlQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/pRQ1Q_yCHNc", "icon": "video" } ]
Vis	2,022	ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective	10.1109/TVCG.2022.3209384	Traditional deep learning interpretability methods which are suitable for model users cannot explain network behaviors at the global level and are inflexible at providing fine-grained explanations. As a solution, concept-based explanations are gaining attention due to their human intuitiveness and their flexibility to ...	false	false	[ "Jinbin Huang", "Aditi Mishra", "Bum Chul Kwon", "Chris Bryan" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2204.01888v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/gltneexyhYs", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/EvArXDWxCXI", "icon": "video" } ]
Vis	2,022	Constrained Dynamic Mode Decomposition	10.1109/TVCG.2022.3209437	Frequency-based decomposition of time series data is used in many visualization applications. Most of these decomposition methods (such as Fourier transform or singular spectrum analysis) only provide interaction via pre- and post-processing, but no means to influence the core algorithm. A method that also belongs to t...	false	false	[ "Tim Krake", "Daniel Klötzl", "Bernd Eberhardt", "Daniel Weiskopf" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/vqahHdOPkzM", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/zc3xLI1wt14", "icon": "video" } ]
Vis	2,022	Cultivating Visualization Literacy for Children Through Curiosity and Play	10.1109/TVCG.2022.3209442	Fostering data visualization literacy (DVL) as part of childhood education could lead to a more data literate society. However, most work in DVL for children relies on a more formal educational context (i.e., a teacher-led approach) that limits children's engagement with data to classroom-based environments and, conseq...	false	false	[ "Sandra Bae", "Rishi Vanukuru", "Ruhan Yang", "Peter Gyory", "Ran Zhou 0003", "Ellen Yi-Luen Do", "Danielle Albers Szafir" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.05015v1", "icon": "paper" } ]
Vis	2,022	D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias	10.1109/TVCG.2022.3209484	With the rise of AI, algorithms have become better at learning underlying patterns from the training data including ingrained social biases based on gender, race, etc. Deployment of such algorithms to domains such as hiring, healthcare, law enforcement, etc. has raised serious concerns about fairness, accountability, t...	false	false	[ "Bhavya Ghai", "Klaus Mueller 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.05126v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/v0VY4fZfsNc", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/iN5kabYi_g4", "icon": "video" } ]
Vis	2,022	Dashboard Design Patterns	10.1109/TVCG.2022.3209448	This paper introduces design patterns for dashboards to inform dashboard design processes. Despite a growing number of public examples, case studies, and general guidelines there is surprisingly little design guidance for dashboards. Such guidance is necessary to inspire designs and discuss tradeoffs in, e.g., screensp...	false	false	[ "Benjamin Bach", "Euan Freeman", "Alfie Abdul-Rahman", "Cagatay Turkay", "Saiful Khan", "Yulei Fan", "Min Chen 0001" ]	[ "HM" ]	[ "PW", "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2205.00757v2", "icon": "paper" }, { "name": "Project Website", "url": "https://dashboarddesignpatterns.github.io/", "icon": "project_website" }, { "name": "Fast Forward", "url": "https://youtu.be/igHTCf93aa8", "icon...
Vis	2,022	DashBot: Insight-Driven Dashboard Generation Based on Deep Reinforcement Learning	10.1109/TVCG.2022.3209468	Analytical dashboards are popular in business intelligence to facilitate insight discovery with multiple charts. However, creating an effective dashboard is highly demanding, which requires users to have adequate data analysis background and be familiar with professional tools, such as Power BI. To create a dashboard, ...	false	false	[ "Dazhen Deng", "Aoyu Wu", "Huamin Qu", "Yingcai Wu" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.01232v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Nb22kJIVT7Q", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/nfJAyE7A9zA", "icon": "video" } ]
Vis	2,022	Data Hunches: Incorporating Personal Knowledge into Visualizations	10.1109/TVCG.2022.3209451	The trouble with data is that it frequently provides only an imperfect representation of a phenomenon of interest. Experts who are familiar with their datasets will often make implicit, mental corrections when analyzing a dataset, or will be cautious not to be overly confident about their findings if caveats are presen...	false	false	[ "Haihan Lin", "Derya Akbaba", "Miriah D. Meyer", "Alexander Lex" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2109.07035v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Akb9_1qg-EE", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/tZ4HaUAoSNw", "icon": "video" } ]
Vis	2,022	DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps	10.1109/TVCG.2022.3209425	In this paper, we present DendroMap, a novel approach to interactively exploring large-scale image datasets for machine learning (ML). ML practitioners often explore image datasets by generating a grid of images or projecting high-dimensional representations of images into 2-D using dimensionality reduction techniques ...	false	false	[ "Donald Bertucci", "Md Montaser Hamid", "Yashwanthi Anand", "Anita Ruangrotsakun", "Delyar Tabatabai", "Melissa Perez", "Minsuk Kahng" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2205.06935v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/2Fq7Z4Y-cbI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/cZAoAEcMW6I", "icon": "video" } ]
Vis	2,022	Development and Evaluation of Two Approaches of Visual Sensitivity Analysis to Support Epidemiological Modeling	10.1109/TVCG.2022.3209464	Computational modeling is a commonly used technology in many scientific disciplines and has played a noticeable role in combating the COVID-19 pandemic. Modeling scientists conduct sensitivity analysis frequently to observe and monitor the behavior of a model during its development and deployment. The traditional algor...	false	false	[ "Erik Rydow", "Rita Borgo", "Hui Fang 0003", "Thomas Torsney-Weir", "Ben Swallow", "Thibaud Porphyre", "Cagatay Turkay", "Min Chen 0001" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/g_GonL3WuTs", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/yA458DmorBQ", "icon": "video" } ]
Vis	2,022	Dispersion vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social Outcomes	10.1109/TVCG.2022.3209377	Visualization research often focuses on perceptual accuracy or helping readers interpret key messages. However, we know very little about how chart designs might influence readers' perceptions of the people behind the data. Specifically, could designs interact with readers' social cognitive biases in ways that perpetua...	false	false	[ "Eli Holder", "Cindy Xiong" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.04440v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/qak_QLRIiqQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/kI3NcukbVsA", "icon": "video" } ]
Vis	2,022	Diverse Interaction Recommendation for Public Users Exploring Multi-view Visualization using Deep Learning	10.1109/TVCG.2022.3209461	Interaction is an important channel to offer users insights in interactive visualization systems. However, which interaction to operate and which part of data to explore are hard questions for public users facing a multi-view visualization for the first time. Making these decisions largely relies on professional experi...	false	false	[ "Yixuan Li", "Yusheng Qi", "Yang Shi 0007", "Qing Chen 0001", "Nan Cao", "Siming Chen 0001" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/Ut5l987xayw", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/D73x0sHuQ4Q", "icon": "video" } ]
Vis	2,022	DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy	10.1109/TVCG.2022.3209391	Data privacy is an essential issue in publishing data visualizations. However, it is challenging to represent multiple data patterns in privacy-preserving visualizations. The prior approaches target specific chart types or perform an anonymization model uniformly without considering the importance of data patterns in v...	false	false	[ "Jiehui Zhou", "Xumeng Wang", "Jason K. Wong", "Huanliang Wang", "Zhongwei Wang", "Xiaoyu Yang", "Xiaoran Yan", "Haozhe Feng", "Huamin Qu", "Haochao Ying", "Wei Chen 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.13418v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/-cmsbm8opvg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/LYdxLA3hD3c", "icon": "video" } ]
Vis	2,022	Dual Space Coupling Model Guided Overlap-Free Scatterplot	10.1109/TVCG.2022.3209459	The overdraw problem of scatterplots seriously interferes with the visual tasks. Existing methods, such as data sampling, node dispersion, subspace mapping, and visual abstraction, cannot guarantee the correspondence and consistency between the data points that reflect the intrinsic original data distribution and the c...	false	false	[ "Zeyu Li 0003", "Ruizhi Shi", "Yan Liu", "Shizhuo Long", "Ziheng Guo", "Shichao Jia", "Jiawan Zhang" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.09706v1", "icon": "paper" } ]
Vis	2,022	ECoalVis: Visual Analysis of Control Strategies in Coal-fired Power Plants	10.1109/TVCG.2022.3209430	Improving the efficiency of coal-fired power plants has numerous benefits. The control strategy is one of the major factors affecting such efficiency. However, due to the complex and dynamic environment inside the power plants, it is hard to extract and evaluate control strategies and their cascading impact across mass...	false	false	[ "Shuhan Liu", "Di Weng", "Yuan Tian", "Zikun Deng", "Haoran Xu", "Xiangyu Zhu", "Honglei Yin", "Xianyuan Zhan", "Yingcai Wu" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/F0UEbxpkC0o", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/MJtqd5u-h54", "icon": "video" } ]
Vis	2,022	Effects of View Layout on Situated Analytics for Multiple-View Representations in Immersive Visualization	10.1109/TVCG.2022.3209475	Multiple-view (MV) representations enabling multi-perspective exploration of large and complex data are often employed on 2D displays. The technique also shows great potential in addressing complex analytic tasks in immersive visualization. However, although useful, the design space of MV representations in immersive v...	false	false	[ "Zhen Wen", "Wei Zeng 0004", "Luoxuan Weng", "Yihan Liu", "Mingliang Xu", "Wei Chen 0001" ]	[]	[]	[]
Vis	2,022	Erato: Cooperative Data Story Editing via Fact Interpolation	10.1109/TVCG.2022.3209428	As an effective form of narrative visualization, visual data stories are widely used in data-driven storytelling to communicate complex insights and support data understanding. Although important, they are difficult to create, as a variety of interdisciplinary skills, such as data analysis and design, are required. In ...	false	false	[ "Mengdi Sun", "Ligan Cai", "Weiwei Cui", "Yanqiu Wu", "Yang Shi 0007", "Nan Cao" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.02529v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Qv6AlPPfZhg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Luv5dRwLLnw", "icon": "video" } ]
Vis	2,022	ErgoExplorer: Interactive Ergonomic Risk Assessment from Video Collections	10.1109/TVCG.2022.3209432	Ergonomic risk assessment is now, due to an increased awareness, carried out more often than in the past. The conventional risk assessment evaluation, based on expert-assisted observation of the workplaces and manually filling in score tables, is still predominant. Data analysis is usually done with a focus on critical...	false	false	[ "Manlio Massiris Fernández", "Sanjin Rados", "Kresimir Matkovic", "M. Eduard Gröller", "Claudio Delrieux" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.05252v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/INIZJUllKuI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/MJFVNNI5Pqs", "icon": "video" } ]
Vis	2,022	Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots	10.1109/TVCG.2022.3209348	Most real-world datasets contain missing values yet most exploratory data analysis (EDA) systems only support visualising data points with complete cases. This omission may potentially lead the user to biased analyses and insights. Imputation techniques can help estimate the value of a missing data point, but introduce...	false	false	[ "Abhraneel Sarma", "Shunan Guo", "Jane Hoffswell", "Ryan A. Rossi", "Fan Du", "Eunyee Koh", "Matthew Kay 0001" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/5cy8k", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/xS7TURfPCdQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/ey3Jy2iW-bI", "icon": "video" } ]
Vis	2,022	Exploring Interactions with Printed Data Visualizations in Augmented Reality	10.1109/TVCG.2022.3209386	This paper presents a design space of interaction techniques to engage with visualizations that are printed on paper and augmented through Augmented Reality. Paper sheets are widely used to deploy visualizations and provide a rich set of tangible affordances for interactions, such as touch, folding, tilting, or stackin...	false	false	[ "Wai Tong", "Zhutian Chen", "Meng Xia", "Leo Yu-Ho Lo", "Linping Yuan", "Benjamin Bach", "Huamin Qu" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.10603v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/WYP_7ASDHEo", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/edZMvbOatfA", "icon": "video" } ]
Vis	2,022	Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing	10.1109/TVCG.2022.3209435	Whether AI explanations can help users achieve specific tasks efficiently (i.e., usable explanations) is significantly influenced by their visual presentation. While many techniques exist to generate explanations, it remains unclear how to select and visually present AI explanations based on the characteristics of doma...	false	false	[ "Qianwen Wang", "Kexin Huang", "Payal Chandak", "Marinka Zitnik", "Nils Gehlenborg" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/yhdpv", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/r1QpPuw3zbw", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/0VgjOUTmtjY", "icon": "video" } ]
Vis	2,022	Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models	10.1109/TVCG.2022.3209424	Visualization and analysis of multivariate data and their uncertainty are top research challenges in data visualization. Constructing fiber surfaces is a popular technique for multivariate data visualization that generalizes the idea of level-set visualization for univariate data to multivariate data. In this paper, we...	false	false	[ "Tushar M. Athawale", "Christopher R. Johnson 0001", "Sudhanshu Sane", "David Pugmire" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2207.11318v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/X2qxav8zXsk", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/33pVyJ9bUqc", "icon": "video" } ]
Vis	2,022	FlowNL: Asking the Flow Data in Natural Languages	10.1109/TVCG.2022.3209453	Flow visualization is essentially a tool to answer domain experts' questions about flow fields using rendered images. Static flow visualization approaches require domain experts to raise their questions to visualization experts, who develop specific techniques to extract and visualize the flow structures of interest. I...	false	false	[ "Jieying Huang", "Yang Xi", "Junnan Hu", "Jun Tao 0002" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/54yeCnVaTdE", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/sY9o7WDRbGU", "icon": "video" } ]
Vis	2,022	FoVolNet: Fast Volume Rendering using Foveated Deep Neural Networks	10.1109/TVCG.2022.3209498	Volume data is found in many important scientific and engineering applications. Rendering this data for visualization at high quality and interactive rates for demanding applications such as virtual reality is still not easily achievable even using professional-grade hardware. We introduce FoVolNet—a method to signific...	false	false	[ "David Bauer", "Qi Wu 0015", "Kwan-Liu Ma" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.09965v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/axiljcwYYMI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/TCQiw2DTc_0", "icon": "video" } ]
Vis	2,022	GenoREC: A Recommendation System for Interactive Genomics Data Visualization	10.1109/TVCG.2022.3209407	Interpretation of genomics data is critically reliant on the application of a wide range of visualization tools. A large number of visualization techniques for genomics data and different analysis tasks pose a significant challenge for analysts: which visualization technique is most likely to help them generate insight...	false	false	[ "Aditeya Pandey", "Sehi L'Yi", "Qianwen Wang", "Michelle Borkin", "Nils Gehlenborg" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/rscb4", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/MK8OcbGlaCk", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/UmYxcrR1PmY", "icon": "video" } ]
Vis	2,022	Geo-Storylines: Integrating Maps into Storyline Visualizations	10.1109/TVCG.2022.3209480	Storyline visualizations are a powerful way to compactly visualize how the relationships between people evolve over time. Real-world relationships often also involve space, for example the cities that two political rivals visited together or alone over the years. By default, Storyline visualizations only show implicitl...	false	false	[ "Golina Hulstein", "Vanessa Peña Araya", "Anastasia Bezerianos" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/sPzsQqHDSGo", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/S_WISD78cfs", "icon": "video" } ]
Vis	2,022	GRay: Ray Casting for Visualization and Interactive Data Exploration of Gaussian Mixture Models	10.1109/TVCG.2022.3209374	The Gaussian mixture model (GMM) describes the distribution of random variables from several different populations. GMMs have widespread applications in probability theory, statistics, machine learning for unsupervised cluster analysis and topic modeling, as well as in deep learning pipelines. So far, few efforts have ...	false	false	[ "Kai Lawonn", "Monique Meuschke", "Pepe Eulzer", "Matthias Mitterreiter", "Joachim Giesen", "Tobias Günther" ]	[ "HM" ]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/Vh9iA5A-HNo", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/4KbR6BNn-ws", "icon": "video" } ]
Vis	2,022	HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning	10.1109/TVCG.2022.3209347	Horizontal federated learning (HFL) enables distributed clients to train a shared model and keep their data privacy. In training high-quality HFL models, the data heterogeneity among clients is one of the major concerns. However, due to the security issue and the complexity of deep learning models, it is challenging to...	false	false	[ "Xumeng Wang", "Wei Chen 0001", "Jiazhi Xia", "Zhen Wen", "Rongchen Zhu", "Tobias Schreck" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.07491v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/bboSdZ294x0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/mN4rlnMSD7Y", "icon": "video" } ]
Vis	2,022	HiTailor: Interactive Transformation and Visualization for Hierarchical Tabular Data	10.1109/TVCG.2022.3209354	Tabular visualization techniques integrate visual representations with tabular data to avoid additional cognitive load caused by splitting users' attention. However, most of the existing studies focus on simple flat tables instead of hierarchical tables, whose complex structure limits the expressiveness of visualizatio...	false	false	[ "Guozheng Li 0002", "Runfei Li", "Zicheng Wang", "Chi Harold Liu", "Min Lu 0002", "Guoren Wang" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.05821v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/nrSju2-lqCc", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Eem27BmZfXs", "icon": "video" } ]
Vis	2,022	How Do Viewers Synthesize Conflicting Information from Data Visualizations?	10.1109/TVCG.2022.3209467	Scientific knowledge develops through cumulative discoveries that build on, contradict, contextualize, or correct prior findings. Scientists and journalists often communicate these incremental findings to lay people through visualizations and text (e.g., the positive and negative effects of caffeine intake). Consequent...	false	false	[ "Prateek Mantri", "Hariharan Subramonyam", "Audrey L. Michal", "Cindy Xiong" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.03828v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/nudl0CYXZBU", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Un-d8rKSqrs", "icon": "video" } ]
Vis	2,022	IDLat: An Importance-Driven Latent Generation Method for Scientific Data	10.1109/TVCG.2022.3209419	Deep learning based latent representations have been widely used for numerous scientific visualization applications such as isosurface similarity analysis, volume rendering, flow field synthesis, and data reduction, just to name a few. However, existing latent representations are mostly generated from raw data in an un...	false	false	[ "Jingyi Shen", "Haoyu Li", "Jiayi Xu 0001", "Ayan Biswas", "Han-Wei Shen" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.03345v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/0rCVIDzQG6Y", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/wJkr7i_yRXg", "icon": "video" } ]
Vis	2,022	In Defence of Visual Analytics Systems: Replies to Critics	10.1109/TVCG.2022.3209360	The last decade has witnessed many visual analytics (VA) systems that make successful applications to wide-ranging domains like urban analytics and explainable AI. However, their research rigor and contributions have been extensively challenged within the visualization community. We come in defence of VA systems by con...	false	false	[ "Aoyu Wu", "Dazhen Deng", "Furui Cheng", "Yingcai Wu", "Shixia Liu", "Huamin Qu" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2201.09772v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/i5bp51QSFCQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/KJMstdzDEeY", "icon": "video" } ]
Vis	2,022	Incorporation of Human Knowledge into Data Embeddings to Improve Pattern Significance and Interpretability	10.1109/TVCG.2022.3209382	Embedding is a common technique for analyzing multi-dimensional data. However, the embedding projection cannot always form significant and interpretable visual structures that foreshadow underlying data patterns. We propose an approach that incorporates human knowledge into data embeddings to improve pattern significan...	false	false	[ "Jie Li 0006", "Chun-qi Zhou" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.11364v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/LUmmzKTx-rM", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/oQyBQv530RA", "icon": "video" } ]
Vis	2,022	Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models	10.1109/TVCG.2022.3209479	State-of-the-art neural language models can now be used to solve ad-hoc language tasks through zero-shot prompting without the need for supervised training. This approach has gained popularity in recent years, and researchers have demonstrated prompts that achieve strong accuracy on specific NLP tasks. However, finding...	false	false	[ "Hendrik Strobelt", "Albert Webson", "Victor Sanh", "Benjamin Hoover", "Johanna Beyer", "Hanspeter Pfister", "Alexander M. Rush" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.07852v1", "icon": "paper" } ]
Vis	2,022	Interactive Visual Analysis of Structure-borne Noise Data	10.1109/TVCG.2022.3209478	Numerical simulation has become omnipresent in the automotive domain, posing new challenges such as high-dimensional parameter spaces and large as well as incomplete and multi-faceted data. In this design study, we show how interactive visual exploration and analysis of high-dimensional, spectral data from noise simula...	false	false	[ "Rainer Splechtna", "Denis Gracanin", "Goran Todorovic", "Stanislav Goja", "Boris Bedic", "Helwig Hauser", "Kresimir Matkovic" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.03083v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/3xxYS7aTSo4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/k6SuFkvq4FY", "icon": "video" } ]
Vis	2,022	Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction	10.1109/TVCG.2022.3209423	We propose a contrastive dimensionality reduction approach (CDR) for interactive visual cluster analysis. Although dimensionality reduction of high-dimensional data is widely used in visual cluster analysis in conjunction with scatterplots, there are several limitations on effective visual cluster analysis. First, it i...	false	false	[ "Jiazhi Xia", "Linquan Huang", "Weixing Lin", "Xin Zhao", "Jing Wu 0004", "Yang Chen", "Ying Zhao 0001", "Wei Chen 0001" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/jCzKrn_Sins", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/E-TnYjcNyW4", "icon": "video" } ]
Vis	2,022	KiriPhys: Exploring New Data Physicalization Opportunities	10.1109/TVCG.2022.3209365	We present KiriPhys, a new type of data physicalization based on kirigami, a traditional Japanese art form that uses paper-cutting. Within the kirigami possibilities, we investigate how different aspects of cutting patterns offer opportunities for mapping data to both independent and dependent physical variables. As a ...	false	false	[ "Foroozan Daneshzand", "Charles Perin", "Sheelagh Carpendale" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/ra36e", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/KqPcvUkoyK4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/nxg0FpRtrXk", "icon": "video" } ]
Vis	2,022	LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies	10.1109/TVCG.2022.3209477	Temporal (or time-evolving) networks are commonly used to model complex systems and the evolution of their components throughout time. Although these networks can be analyzed by different means, visual analytics stands out as an effective way for a pre-analysis before doing quantitative/statistical analyses to identify...	false	false	[ "Claudio D. G. Linhares", "Jean R. Ponciano", "Diogenes S. Pedro", "Luis Enrique Correa da Rocha", "Agma J. M. Traina", "Jorge Poco" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.04358v1", "icon": "paper" } ]
Vis	2,022	Level Set Restricted Voronoi Tessellation for Large scale Spatial Statistical Analysis	10.1109/TVCG.2022.3209473	Spatial statistical analysis of multivariate volumetric data can be challenging due to scale, complexity, and occlusion. Advances in topological segmentation, feature extraction, and statistical summarization have helped overcome the challenges. This work introduces a new spatial statistical decomposition method based ...	false	false	[ "Tyson Neuroth", "Martin Rieth", "Aditya Konduri", "Myoungkyu Lee", "Jacqueline Chen", "Kwan-Liu Ma" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.06970v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/QQN-LcMdhkY", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/-HMcxq7x_eQ", "icon": "video" } ]
Vis	2,022	Lotse: A Practical Framework for Guidance in Visual Analytics	10.1109/TVCG.2022.3209393	Co-adaptive guidance aims to enable efficient human-machine collaboration in visual analytics, as proposed by multiple theoretical frameworks. This paper bridges the gap between such conceptual frameworks and practical implementation by introducing an accessible model of guidance and an accompanying guidance library, m...	false	false	[ "Fabian Sperrle", "Davide Ceneda", "Mennatallah El-Assady" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.04434v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/AiCCyBacEcs", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/cYallUixgps", "icon": "video" } ]
Vis	2,022	Measuring Effects of Spatial Visualization and Domain on Visualization Task Performance: A Comparative Study	10.1109/TVCG.2022.3209491	Understanding one's audience is foundational to creating high impact visualization designs. However, individual differences and cognitive abilities influence interactions with information visualization. Different user needs and abilities suggest that an individual's background could influence cognitive performance and ...	false	false	[ "Sara Tandon", "Alfie Abdul-Rahman", "Rita Borgo" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.04844v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/9fMhNt5XZSs", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/iQVkv1GjArs", "icon": "video" } ]
Vis	2,022	MedChemLens: An Interactive Visual Tool to Support Direction Selection in Interdisciplinary Experimental Research of Medicinal Chemistry	10.1109/TVCG.2022.3209434	Interdisciplinary experimental science (e.g., medicinal chemistry) refers to the disciplines that integrate knowledge from different scientific backgrounds and involve experiments in the research process. Deciding “in what direction to proceed” is critical for the success of the research in such disciplines, since the ...	false	false	[ "Chuhan Shi", "Fei Nie", "Yicheng Hu", "Yige Xu 0001", "Lei Chen 0002", "Xiaojuan Ma", "Qiong Luo 0001" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/ZiZ9i8QZLR0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/_n2PNb6qzuM", "icon": "video" } ]
Vis	2,022	MEDLEY: Intent-based Recommendations to Support Dashboard Composition	10.1109/TVCG.2022.3209421	Despite the ever-growing popularity of dashboards across a wide range of domains, their authoring still remains a tedious and complex process. Current tools offer considerable support for creating individual visualizations but provide limited support for discovering groups of visualizations that can be collectively use...	false	false	[ "Aditeya Pandey", "Arjun Srinivasan", "Vidya Setlur" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.03175v1", "icon": "paper" } ]
Vis	2,022	MetaGlyph: Automatic Generation of Metaphoric Glyph-based Visualization	10.1109/TVCG.2022.3209447	Glyph-based visualization achieves an impressive graphic design when associated with comprehensive visual metaphors, which help audiences effectively grasp the conveyed information through revealing data semantics. However, creating such metaphoric glyph-based visualization (MGV) is not an easy task, as it requires not...	false	false	[ "Lu Ying", "Xinhuan Shu", "Dazhen Deng", "Yuchen Yang", "Tan Tang", "Lingyun Yu 0001", "Yingcai Wu" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.05739v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/7VAaN2HhsJw", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/3Xq2cN06nos", "icon": "video" } ]
Vis	2,022	MosaicSets: Embedding Set Systems into Grid Graphs	10.1109/TVCG.2022.3209485	Visualizing sets of elements and their relations is an important research area in information visualization. In this paper, we present MosaicSets: a novel approach to create Euler-like diagrams from non-spatial set systems such that each element occupies one cell of a regular hexagonal or square grid. The main challeng...	false	false	[ "Peter Rottmann", "Markus Wallinger", "Annika Bonerath", "Sven Gedicke", "Martin Nöllenburg", "Jan-Henrik Haunert" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.07982v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/kvvDm_5661Q", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/hB8RRJeHuCA", "icon": "video" } ]
Vis	2,022	Multi-View Design Patterns and Responsive Visualization for Genomics Data	10.1109/TVCG.2022.3209398	A series of recent studies has focused on designing cross-resolution and cross-device visualizations, i.e., responsive visualization, a concept adopted from responsive web design. However, these studies mainly focused on visualizations with a single view to a small number of views, and there are still unresolved questi...	false	false	[ "Sehi L'Yi", "Nils Gehlenborg" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/pd7vq", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/vPc0sh_iVB0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/dJVPjcxK_-Q", "icon": "video" } ]
Vis	2,022	Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations	10.1109/TVCG.2022.3209457	The prevalence of inadequate SARS-COV-2 (COVID-19) responses may indicate a lack of trust in forecasts and risk communication. However, no work has empirically tested how multiple forecast visualization choices impact trust and task-based performance. The three studies presented in this paper ($N=1299$) examine how vis...	false	false	[ "Lace M. K. Padilla", "Racquel Fygenson", "Spencer C. Castro", "Enrico Bertini" ]	[ "BP" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/2sq7j", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/O9IqmSVsfXI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/6vQJYh7O3lg", "icon": "video" } ]
Vis	2,022	Multivariate Probabilistic Range Queries for Scalable Interactive 3D Visualization	10.1109/TVCG.2022.3209439	Large-scale scientific data, such as weather and climate simulations, often comprise a large number of attributes for each data sample, like temperature, pressure, humidity, and many more. Interactive visualization and analysis require filtering according to any desired combination of attributes, in particular logical ...	false	false	[ "Amani Ageeli", "Alberto Jaspe Villanueva", "Ronell Sicat", "Florian Mannuß", "Peter Rautek", "Markus Hadwiger" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/8X8Ctt10oII", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/yrQRYjA_NTg", "icon": "video" } ]
Vis	2,022	NAS-Navigator: Visual Steering for Explainable One-Shot Deep Neural Network Synthesis	10.1109/TVCG.2022.3209361	The success of DL can be attributed to hours of parameter and architecture tuning by human experts. Neural Architecture Search (NAS) techniques aim to solve this problem by automating the search procedure for DNN architectures making it possible for non-experts to work with DNNs. Specifically, One-shot NAS techniques h...	false	false	[ "Anjul Tyagi", "Cong Xie", "Klaus Mueller 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.13008v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/DwCxfleJStg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/xKcNSf9gGko", "icon": "video" } ]
Vis	2,022	No Grammar to Rule Them All: A Survey of JSON-style DSLs for Visualization	10.1109/TVCG.2022.3209460	There has been substantial growth in the use of JSON-based grammars, as well as other standard data serialization languages, to create visualizations. Each of these grammars serves a purpose: some focus on particular computational tasks (such as animation), some are concerned with certain chart types (such as maps), an...	false	false	[ "Andrew M. McNutt" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2207.07998v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/1GTqeZ4nKpk", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/eudQcdPhXDU", "icon": "video" } ]
Vis	2,022	OBTracker: Visual Analytics of Off-ball Movements in Basketball	10.1109/TVCG.2022.3209373	In a basketball play, players who are not in possession of the ball (i.e., off-ball players) can still effectively contribute to the team's offense, such as making a sudden move to create scoring opportunities. Analyzing the movements of off-ball players can thus facilitate the development of effective strategies for c...	false	false	[ "Yihong Wu", "Dazhen Deng", "Xiao Xie", "Moqi He", "Jie Xu", "Hongzeng Zhang", "Hui Zhang 0051", "Yingcai Wu" ]	[ "HM" ]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/AGYqHPqQ8_4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/iKKbQScLptg", "icon": "video" } ]
Vis	2,022	On-Tube Attribute Visualization for Multivariate Trajectory Data	10.1109/TVCG.2022.3209400	Stylized tubes are an established visualization primitive for line data as encountered in many scientific fields, ranging from characteristic lines in flow fields, fiber tracks reconstructed from diffusion tensor imaging, to trajectories of moving objects as they arise from cyber-physical systems in many engineering di...	false	false	[ "Benjamin Russig", "David Groß", "Raimund Dachselt", "Stefan Gumhold" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/no-xqx4VRQ8", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/0uB3HGtLuO4", "icon": "video" } ]
Vis	2,022	PC-Expo: A Metrics-Based Interactive Axes Reordering Method for Parallel Coordinate Displays	10.1109/TVCG.2022.3209392	Parallel coordinate plots (PCPs) have been widely used for high-dimensional (HD) data storytelling because they allow for presenting a large number of dimensions without distortions. The axes ordering in PCP presents a particular story from the data based on the user perception of PCP polylines. Existing works focus on...	false	false	[ "Anjul Tyagi", "Tyler Estro", "Geoffrey H. Kuenning", "Erez Zadok", "Klaus Mueller 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.03430v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/TjxnMIOaJo4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/yQD5nKklvN8", "icon": "video" } ]
Vis	2,022	Photosensitive Accessibility for Interactive Data Visualizations	10.1109/TVCG.2022.3209359	Accessibility guidelines place restrictions on the use of animations and interactivity on webpages to lessen the likelihood of webpages inadvertently producing sequences with flashes, patterns, or color changes that may trigger seizures for individuals with photosensitive epilepsy. Online data visualizations often inco...	false	false	[ "Laura South", "Michelle Borkin" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/7uyn9", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/O9PXUJM2ocQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/QSFUOVRGHzU", "icon": "video" } ]
Vis	2,022	PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid	10.1109/TVCG.2022.3209380	The electrical power grid is a critical infrastructure, with disruptions in transmission having severe repercussions on daily activities, across multiple sectors. To identify, prevent, and mitigate such events, power grids are being refurbished as ‘smart’ systems that include the widespread deployment of GPS-enabled ph...	false	false	[ "Anjana Arunkumar", "Andrea Pinceti", "Lalitha Sankar", "Chris Bryan" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.03514v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Q0-SJVxudh8", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/VfjyqEqoitQ", "icon": "video" } ]
Vis	2,022	Polyphony: an Interactive Transfer Learning Framework for Single-Cell Data Analysis	10.1109/TVCG.2022.3209408	Reference-based cell-type annotation can significantly reduce time and effort in single-cell analysis by transferring labels from a previously-annotated dataset to a new dataset. However, label transfer by end-to-end computational methods is challenging due to the entanglement of technical (e.g., from different sequenc...	false	false	[ "Furui Cheng", "Mark S. Keller", "Huamin Qu", "Nils Gehlenborg", "Qianwen Wang" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/b76nt", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/-_vFKtJsliQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/FkbFjJO8QZY", "icon": "video" } ]
Vis	2,022	Predicting User Preferences of Dimensionality Reduction Embedding Quality	10.1109/TVCG.2022.3209449	A plethora of dimensionality reduction techniques have emerged over the past decades, leaving researchers and analysts with a wide variety of choices for reducing their data, all the more so given some techniques come with additional hyper-parametrization (e.g., t-SNE, UMAP, etc.). Recent studies are showing that peopl...	false	false	[ "Cristina Morariu", "Adrien Bibal", "René Cutura", "Benoît Frénay", "Michael Sedlmair" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/x6qjUoEUpIc", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/NGWxpprFM1A", "icon": "video" } ]
Vis	2,022	Probablement, Wahrscheinlich, Likely? A Cross-Language Study of How People Verbalize Probabilities in Icon Array Visualizations	10.1109/TVCG.2022.3209367	Visualizations today are used across a wide range of languages and cultures. Yet the extent to which language impacts how we reason about data and visualizations remains unclear. In this paper, we explore the intersection of visualization and language through a cross-language study on estimative probability tasks with ...	false	false	[ "Noëlle Rakotondravony", "Yiren Ding", "Lane Harrison" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2207.09608v3", "icon": "paper" } ]
Vis	2,022	PromotionLens: Inspecting Promotion Strategies of Online E-commerce via Visual Analytics	10.1109/TVCG.2022.3209440	Promotions are commonly used by e-commerce merchants to boost sales. The efficacy of different promotion strategies can help sellers adapt their offering to customer demand in order to survive and thrive. Current approaches to designing promotion strategies are either based on econometrics, which may not scale to large...	false	false	[ "Chenyang Zhang", "Xiyuan Wang", "Chuyi Zhao", "Yijing Ren", "Tianyu Zhang", "Zhenhui Peng", "Xiaomeng Fan", "Xiaojuan Ma", "Quan Li" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.01404v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/pWUqTkf0S74", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/pbwjVySy8O8", "icon": "video" } ]
Vis	2,022	PuzzleFixer: A Visual Reassembly System for Immersive Fragments Restoration	10.1109/TVCG.2022.3209388	We present PuzzleFixer, an immersive interactive system for experts to rectify defective reassembled 3D objects. Reassembling the fragments of a broken object to restore its original state is the prerequisite of many analytical tasks such as cultural relics analysis and forensics reasoning. While existing computer-aide...	false	false	[ "Shuainan Ye", "Zhutian Chen", "Xiangtong Chu", "Kang Li 0005", "Juntong Luo", "Yi Li", "Guohua Geng", "Yingcai Wu" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/52xbZtb1cmo", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/q1ZT8jv7EUE", "icon": "video" } ]
Vis	2,022	Quick Clusters: A GPU-Parallel Partitioning for Efficient Path Tracing of Unstructured Volumetric Grids	10.1109/TVCG.2022.3209418	We propose a simple yet effective method for clustering finite elements to improve preprocessing times and rendering performance of unstructured volumetric grids without requiring auxiliary connectivity data. Rather than building bounding volume hierarchies (BVHs) over individual elements, we sort elements along with a...	false	false	[ "Nathan Morrical", "Alper Sahistan", "Ugur Güdükbay", "Ingo Wald", "Valerio Pascucci" ]	[ "HM" ]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/shi-_p-9QTE", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Msu4ZX01FHY", "icon": "video" } ]
Vis	2,022	RankAxis: Towards a Systematic Combination of Projection and Ranking in Multi-Attribute Data Exploration	10.1109/TVCG.2022.3209463	Projection and ranking are frequently used analysis techniques in multi-attribute data exploration. Both families of techniques help analysts with tasks such as identifying similarities between observations and determining ordered subgroups, and have shown good performances in multi-attribute data exploration. However,...	false	false	[ "Qiangqiang Liu", "Yukun Ren", "Zhihua Zhu", "Dai Li", "Xiaojuan Ma", "Quan Li" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.01493v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/NnsJSS34pPI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/DmA0g8UlNjU", "icon": "video" } ]
Vis	2,022	RASIPAM: Interactive Pattern Mining of Multivariate Event Sequences in Racket Sports	10.1109/TVCG.2022.3209452	Experts in racket sports like tennis and badminton use tactical analysis to gain insight into competitors' playing styles. Many data-driven methods apply pattern mining to racket sports data — which is often recorded as multivariate event sequences — to uncover sports tactics. However, tactics obtained in this way are ...	false	false	[ "Jiang Wu", "Dongyu Liu", "Ziyang Guo", "Yingcai Wu" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.00671v4", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/CL8HxPjKHuI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Wr956aLgcmU", "icon": "video" } ]

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