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train · 6.25k rows

Conference stringclasses 6 values	Year int64 1.99k 2.03k	Title stringlengths 8 187	DOI stringlengths 16 32	Abstract stringlengths 128 7.15k ⌀	Accessible bool 2 classes	Early bool 2 classes	AuthorNames-Deduped listlengths 1 29	Award listlengths 0 2	Resources listlengths 0 5	ResourceLinks listlengths 0 10
CHI	2,022	Designing for Knowledge Construction to Facilitate the Uptake of Open Science: Laying out the Design Space	10.1145/3491102.3517450	The uptake of open science resources needs knowledge construction on the side of the readers/receivers of scientific content. The design of technologies surrounding open science resources can facilitate such knowledge construction, but this has not been investigated yet. To do so, we first conducted a scoping review of...	false	false	[ "Leonie Disch", "Angela Fessl", "Viktoria Pammer-Schindler" ]	[]	[]	[]
CHI	2,022	Designing Word Filter Tools for Creator-led Comment Moderation	10.1145/3491102.3517505	Online social platforms centered around content creators often allow comments on content, where creators can then moderate the comments they receive. As creators can face overwhelming numbers of comments, with some of them harassing or hateful, platforms typically provide tools such as word filters for creators to auto...	false	false	[ "Shagun Jhaver", "Quan Ze Chen", "Detlef Knauss", "Amy X. Zhang" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2202.08818v1", "icon": "paper" } ]
CHI	2,022	Diff in the Loop: Supporting Data Comparison in Exploratory Data Analysis	10.1145/3491102.3502123	Data science is characterized by evolution: since data science is exploratory, results evolve from moment to moment; since it can be collaborative, results evolve as the work changes hands. While existing tools help data scientists track changes in code, they provide less support for understanding the iterative changes...	false	false	[ "April Yi Wang", "Will Epperson", "Robert A. DeLine", "Steven Mark Drucker" ]	[]	[]	[]
CHI	2,022	Do You See What I Hear? - Peripheral Absolute and Relational Visualisation Techniques for Sound Zones	10.1145/3491102.3501938	Sound zone technology allows multiple simultaneous sound experiences for multiple people in the same room without interference. However, given the inherent invisible and intangible nature of sound zones, it is unclear how to communicate the position and size of sound zones to users. This paper compares two visualisatio...	false	false	[ "Rune Møberg Jacobsen", "Niels van Berkel", "Mikael B. Skov", "Stine S. Johansen", "Jesper Kjeldskov" ]	[]	[]	[]
CHI	2,022	Do You See What You Mean? Using Predictive Visualizations to Reduce Optimism in Duration Estimates	10.1145/3491102.3502010	Making time estimates, such as how long a given task might take, frequently leads to inaccurate predictions because of an optimistic bias. Previous attempts to alleviate this bias, including decomposing the task into smaller components and listing potential surprises, have not shown any major improvement. This article ...	false	false	[ "Morgane Koval", "Yvonne Jansen" ]	[ "HM" ]	[]	[]
CHI	2,022	FluidMeet: Enabling Frictionless Transitions Between In-Group, Between-Group, and Private Conversations During Virtual Breakout Meetings	10.1145/3491102.3517558	People often form small conversation groups during physical gatherings to have ad-hoc and informal conversations. As these groups are loosely defined, others can often overhear and join the conversation. However, current video-conferencing tools only allow for strict boundaries between small conversation groups, inhibi...	false	false	[ "Erzhen Hu", "Md. Aashikur Rahman Azim", "Seongkook Heo" ]	[]	[]	[]
CHI	2,022	GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information	10.1145/3491102.3502141	We investigate how multiple sliders with and without feedforward visualizations influence users’ control of generative models. In an online study (N=138), we collected a dataset of people interacting with a generative adversarial network (StyleGAN2) in an image reconstruction task. We found that more control dimensions...	false	false	[ "Hai Dang", "Lukas Mecke", "Daniel Buschek" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2202.00965v1", "icon": "paper" } ]
CHI	2,022	graphiti: Sketch-based Graph Analytics for Images and Videos	10.1145/3491102.3501923	Graph analytics is currently performed using a combination of code, symbolic algebra, and network visualizations. The analyst has to work with symbolic and abstract forms of data to construct and analyze graphs. We locate unique design opportunities at the intersection of computer vision and graph analytics, by utilizi...	false	false	[ "Nazmus Saquib", "Faria Huq", "Syed Arefinul Haque" ]	[]	[]	[]
CHI	2,022	HAExplorer: Understanding Interdependent Biomechanical Motions with Interactive Helical Axes	10.1145/3491102.3501841	The helical axis is a common tool used in biomechanical modeling to parameterize the motion of rigid objects. It encodes an object’s rotation around and translation along a unique axis. Visualizations of helical axes have helped to make kinematic data tangible. However, the analysis process often remains tedious, espec...	false	false	[ "Pepe Eulzer", "Robert Rockenfeller", "Kai Lawonn" ]	[]	[]	[]
CHI	2,022	i-LaTeX : Manipulating Transitional Representations between LaTeX Code and Generated Documents	10.1145/3491102.3517494	Document description languages such as LaTeX are used extensively to author scientific and technical documents, but editing them is cumbersome: code-based editors only provide generic features, while WYSIWYG interfaces only support a subset of the language. Our interviews with 11 LaTeX users highlighted their difficult...	false	false	[ "Camille Gobert", "Michel Beaudouin-Lafon" ]	[]	[]	[]
CHI	2,022	Infosonics: Accessible Infographics for People who are Blind using Sonification and Voice	10.1145/3491102.3517465	Data visualisations are increasingly used online to engage readers and enable independent analysis of the data underlying news stories. However, access to such infographics is problematic for readers who are blind or have low vision (BLV). Equitable access to information is a basic human right and essential for indepen...	false	false	[ "Leona M. Holloway", "Cagatay Goncu", "Alon Ilsar", "Matthew Butler 0002", "Kim Marriott" ]	[]	[]	[]
CHI	2,022	Interpolating Happiness: Understanding the Intensity Gradations of Face Emojis Across Cultures	10.1145/3491102.3517661	We frequently utilize face emojis to express emotions in digital communication. But how wholly and precisely do such pictographs sample the emotional spectrum, and are there gaps to be closed? Our research establishes emoji intensity scales for seven basic emotions: happiness, anger, disgust, sadness, shock, annoyance,...	false	false	[ "Andrey Krekhov", "Katharina Emmerich", "Johannes Fuchs 0001", "Jens Harald Krüger" ]	[]	[]	[]
CHI	2,022	Investigating Potentials of Shape-Changing Displays for Sound Zones	10.1145/3491102.3517632	In this paper, we investigate the use of shape-change for interaction with sound zones. A core challenge to designing interaction with sound zone systems is to support users’ understanding of the unique spatial properties of sound zones. Shape-changing interfaces present new opportunities for addressing this. We presen...	false	false	[ "Stine S. Johansen", "Timothy Merritt 0001", "Rune Møberg Jacobsen", "Peter Axel Nielsen", "Jesper Kjeldskov" ]	[]	[]	[]
CHI	2,022	Juvenile Graphical Perception: A Comparison between Children and Adults	10.1145/3491102.3501893	Data visualization is pervasive in the lives of children as they encounter graphs and charts in early education and online media. In spite of this prevalence, our guidelines and understanding of how children perceive graphs stem primarily from studies conducted with adults. Previous psychology and education research in...	false	false	[ "Liudas Panavas", "Amy E. Worth", "Tarik Crnovrsanin", "Tejas Sathyamurthi", "Sara Cordes", "Michelle A. Borkin", "Cody Dunne" ]	[]	[]	[]
CHI	2,022	Making Data Tangible: A Cross-disciplinary Design Space for Data Physicalization	10.1145/3491102.3501939	Designing a data physicalization requires a myriad of different considerations. Despite the cross-disciplinary nature of these considerations, research currently lacks a synthesis across the different communities data physicalization sits upon, including their approaches, theories, and even terminologies. To bridge the...	false	false	[ "S. Sandra Bae", "Clement Zheng", "Mary Etta West", "Ellen Yi-Luen Do", "Samuel Huron", "Danielle Albers Szafir" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2202.10520v1", "icon": "paper" } ]
CHI	2,022	Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels	10.1145/3491102.3501823	The confusion matrix, a ubiquitous visualization for helping people evaluate machine learning models, is a tabular layout that compares predicted class labels against actual class labels over all data instances. We conduct formative research with machine learning practitioners at Apple and find that conventional confus...	false	false	[ "Jochen Görtler", "Fred Hohman", "Dominik Moritz", "Kanit Wongsuphasawat", "Donghao Ren", "Rahul Nair", "Marc Kirchner", "Kayur Patel" ]	[ "BP" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2110.12536v2", "icon": "paper" } ]
CHI	2,022	One Week in the Future: Previs Design Futuring for HCI Research	10.1145/3491102.3517584	We explore the use of cinematic “pre-visualization” (previs) techniques as a rapid ideation and design futuring method for human computer interaction (HCI) research. Previs approaches, which are widely used in animation and film production, use digital design tools to create medium-fidelity videos that capture richer i...	false	false	[ "Alexander Ivanov 0004", "Tim Au Yeung", "Kathryn Blair", "Kurtis Thorvald Danyluk", "Georgina Freeman", "Marcus Friedel", "Carmen Hull", "Michael Yuk-Shing Hung", "Sydney Pratte", "Wesley Willett" ]	[]	[]	[]
CHI	2,022	Pandemic Displays: Considering Hygiene on Public Touchscreens in the Post-Pandemic Era	10.1145/3491102.3501937	The COVID-19 pandemic created unprecedented questions for touch-based public displays regarding hygiene, risks, and general awareness. We study how people perceive and consider hygiene on shared touchscreens, and how touchscreens could be improved through hygiene-related functions. First, we report the results from an ...	false	false	[ "Ville Mäkelä", "Jonas Winter", "Jasmin Schwab", "Michael Koch 0001", "Florian Alt" ]	[]	[]	[]
CHI	2,022	Paracentral and near-peripheral visualizations: Towards attention-maintaining secondary information presentation on OHMDs during in-person social interactions	10.1145/3491102.3502127	Optical see-through Head-Mounted Displays (OST HMDs, OHMDs) are known to facilitate situational awareness while accessing secondary information. However, information displayed on OHMDs can cause attention shifts, which distract users from natural social interactions. We hypothesize that information displayed in paracen...	false	false	[ "Nuwan Janaka", "Chloe Haigh", "Hyeong Cheol Kim", "Shan Zhang", "Shengdong Zhao" ]	[ "HM" ]	[]	[]
CHI	2,022	Preferences and Effectiveness of Sleep Data Visualizations for Smartwatches and Fitness Bands	10.1145/3491102.3501921	We present the findings of four studies related to the visualization of sleep data on wearables with two form factors: smartwatches and fitness bands. Our goal was to understand the interests, preferences, and effectiveness of different sleep visualizations by form factor. In a survey, we showed that wearers were mostl...	false	false	[ "Alaul Islam", "Ranjini Aravind", "Tanja Blascheck", "Anastasia Bezerianos", "Petra Isenberg" ]	[]	[]	[]
CHI	2,022	Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages	10.1145/3491102.3502114	People write personalized greeting cards on various occasions. While prior work has studied gender roles in greeting card messages, systematic analysis at scale and tools for raising the awareness of gender stereotyping remain under-investigated. To this end, we collect a large greeting card message corpus covering thr...	false	false	[ "Jiao Sun", "Tongshuang Wu", "Yue Jiang", "Ronil Awalegaonkar", "Xi Victoria Lin", "Diyi Yang" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2112.13980v1", "icon": "paper" } ]
CHI	2,022	Put a Label On It! Approaches for Constructing and Contextualizing Bar Chart Physicalizations	10.1145/3491102.3501952	Physicalizations represent data through their tangible and material properties. In contrast to screen-based visualizations, there is currently very limited understanding of how to label or annotate physicalizations to support people in interpreting the data encoded by the physicalization. Because of its spatiality, con...	false	false	[ "Kim Sauvé", "Argenis Ramirez Gomez", "Steven Houben" ]	[]	[]	[]
CHI	2,022	Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health	10.1145/3491102.3501891	The promise of visualization recommendation systems is that analysts will be automatically provided with relevant and high-quality visualizations that will reduce the work of manual exploration or chart creation. However, little research to date has focused on what analysts value in the design of visualization recommen...	false	false	[ "Calvin S. Bao", "Siyao Li", "Sarah G. Flores", "Michael Correll", "Leilani Battle" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2202.01335v1", "icon": "paper" } ]
CHI	2,022	Reflective Spring Cleaning: Using Personal Informatics to Support Infrequent Notification Personalization	10.1145/3491102.3517493	Distracting mobile notifications are a high-profile problem but previous research suggests notification management tools are underused because of the barriers users face in relation to the perceived benefits. We posit that users might be more motivated to personalize if they could view contextual data for how personali...	false	false	[ "Izabelle F. Janzen", "Joanna McGrenere" ]	[]	[]	[]
CHI	2,022	ReLive: Bridging In-Situ and Ex-Situ Visual Analytics for Analyzing Mixed Reality User Studies	10.1145/3491102.3517550	The nascent field of mixed reality is seeing an ever-increasing need for user studies and field evaluation, which are particularly challenging given device heterogeneity, diversity of use, and mobile deployment. Immersive analytics tools have recently emerged to support such analysis in situ, yet the complexity of the ...	false	false	[ "Sebastian Hubenschmid", "Jonathan Wieland", "Daniel Immanuel Fink 0001", "Andrea Batch", "Johannes Zagermann", "Niklas Elmqvist", "Harald Reiterer" ]	[]	[]	[]
CHI	2,022	RoleSeer: Understanding Informal Social Role Changes in MMORPGs via Visual Analytics	10.1145/3491102.3517712	Massively multiplayer online role-playing games create virtual communities that support heterogeneous “social roles” determined by gameplay interaction behaviors under a specific social context. For all social roles, formal roles are pre-defined, obvious, and explicitly ascribed to the people holding the roles, whereas...	false	false	[ "Laixin Xie", "Ziming Wu", "Peng Xu", "Wei Li 0094", "Xiaojuan Ma", "Quan Li" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2210.10698v1", "icon": "paper" } ]
CHI	2,022	Sensitive Pictures: Emotional Interpretation in the Museum	10.1145/3491102.3502080	Museums are interested in designing emotional visitor experiences to complement traditional interpretations. HCI is interested in the relationship between Affective Computing and Affective Interaction. We describe Sensitive Pictures, an emotional visitor experience co-created with the Munch art museum. Visitors choose ...	false	false	[ "Steve Benford", "Anders Sundnes Løvlie", "Karin Ryding", "Paulina Rajkowska", "Edgar Bodiaj", "Dimitrios Paris Darzentas", "Harriet R. Cameron", "Jocelyn Spence", "Joy Egede", "Bogdan Spanjevic" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2203.01041v1", "icon": "paper" } ]
CHI	2,022	Slide-Tone and Tilt-Tone: 1-DOF Haptic Techniques for Conveying Shape Characteristics of Graphs to Blind Users	10.1145/3491102.3517790	We increasingly rely on up-to-date, data-driven graphs to understand our environments and make informed decisions. However, many of the methods blind and visually impaired users (BVI) rely on to access data-driven information do not convey important shape-characteristics of graphs, are not refreshable, or are prohibiti...	false	false	[ "Danyang Fan", "Alexa Fay Siu", "Wing-Sum Adrienne Law", "Raymond Ruihong Zhen", "Sile O'Modhrain", "Sean Follmer" ]	[]	[]	[]
CHI	2,022	Smooth as Steel Wool: Effects of Visual Stimuli on the Haptic Perception of Roughness in Virtual Reality	10.1145/3491102.3517454	Haptic Feedback is essential for lifelike Virtual Reality (VR) experiences. To provide a wide range of matching sensations of being touched or stroked, current approaches typically need large numbers of different physical textures. However, even advanced devices can only accommodate a limited number of textures to rema...	false	false	[ "Sebastian Günther 0001", "Julian Rasch", "Dominik Schön", "Florian Müller 0003", "Martin Schmitz", "Jan Riemann", "Andrii Matviienko", "Max Mühlhäuser" ]	[]	[]	[]
CHI	2,022	STRAIDE: A Research Platform for Shape-Changing Spatial Displays based on Actuated Strings	10.1145/3491102.3517462	We present STRAIDE, a string-actuated interactive display environment that allows to explore the promising potential of shape-changing interfaces for casual visualizations. At the core, we envision a platform that spatially levitates elements to create dynamic visual shapes in space. We conceptualize this type of tangi...	false	false	[ "Severin Engert", "Konstantin Klamka", "Andreas Peetz", "Raimund Dachselt" ]	[]	[]	[]
CHI	2,022	Structure-aware Visualization Retrieval	10.1145/3491102.3502048	With the wide usage of data visualizations, a huge number of Scalable Vector Graphic (SVG)-based visualizations have been created and shared online. Accordingly, there has been an increasing interest in exploring how to retrieve perceptually similar visualizations from a large corpus, since it can benefit various downs...	false	false	[ "Haotian Li 0001", "Yong Wang 0021", "Aoyu Wu", "Huan Wei", "Huamin Qu" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2202.05960v1", "icon": "paper" } ]
CHI	2,022	Supporting Accessible Data Visualization Through Audio Data Narratives	10.1145/3491102.3517678	Online data visualizations play an important role in informing public opinion but are often inaccessible to screen reader users. To address the need for accessible data representations on the web that provide direct, multimodal, and up-to-date access to the data, we investigate audio data narratives –which combine text...	false	false	[ "Alexa F. Siu", "Gene S.-H. Kim", "Sile O'Modhrain", "Sean Follmer" ]	[]	[]	[]
CHI	2,022	Supporting Data-Driven Basketball Journalism through Interactive Visualization	10.1145/3491102.3502078	Basketball writers and journalists report on the sport that millions of fans follow and love. However, the recent emergence of pervasive data about the sport and the growth of new forms of sports analytics is changing writers’ jobs. While these writers seek to leverage the data and analytics to create engaging, data-dr...	false	false	[ "Yu Fu", "John T. Stasko" ]	[]	[]	[]
CHI	2,022	Supporting the Contact Tracing Process with WiFi Location Data: Opportunities and Challenges	10.1145/3491102.3517703	Contact tracers assist in containing the spread of highly infectious diseases such as COVID-19 by engaging community members who receive a positive test result in order to identify close contacts. Many contact tracers rely on community member’s recall for those identifications, and face limitations such as unreliable m...	false	false	[ "Kaely Hall", "Dong Whi Yoo", "Wenrui Zhang", "Mehrab Bin Morshed", "Vedant Das Swain", "Gregory D. Abowd", "Munmun De Choudhury", "Alex Endert", "John T. Stasko", "Jennifer G. Kim" ]	[]	[]	[]
CHI	2,022	Symphony: Composing Interactive Interfaces for Machine Learning	10.1145/3491102.3502102	Interfaces for machine learning (ML), information and visualizations about models or data, can help practitioners build robust and responsible ML systems. Despite their benefits, recent studies of ML teams and our interviews with practitioners (n=9) showed that ML interfaces have limited adoption in practice. While exi...	false	false	[ "Alex Bäuerle", "Ángel Alexander Cabrera", "Fred Hohman", "Megan Maher", "David Koski", "Xavier Suau", "Titus Barik", "Dominik Moritz" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2202.08946v1", "icon": "paper" } ]
CHI	2,022	Tangible Globes for Data Visualisation in Augmented Reality	10.1145/3491102.3517715	Head-mounted augmented reality (AR) displays allow for the seamless integration of virtual visualisation with contextual tangible references, such as physical (tangible) globes. We explore the design of immersive geospatial data visualisation with AR and tangible globes. We investigate the “tangible-virtual interplay” ...	false	false	[ "Kadek Ananta Satriadi", "Jim Smiley", "Barrett Ens", "Maxime Cordeil", "Tobias Czauderna", "Benjamin Lee", "Ying Yang", "Tim Dwyer", "Bernhard Jenny" ]	[]	[]	[]
CHI	2,022	Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work	10.1145/3491102.3517615	Creating presentation slides is a critical but time-consuming task for data scientists. While researchers have proposed many AI techniques to lift data scientists’ burden on data preparation and model selection, few have targeted the presentation creation task. Based on the needs identified from a formative study, this...	false	false	[ "Chengbo Zheng", "Dakuo Wang", "April Yi Wang", "Xiaojuan Ma" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2203.11085v3", "icon": "paper" } ]
CHI	2,022	The Pattern is in the Details: An Evaluation of Interaction Techniques for Locating, Searching, and Contextualizing Details in Multivariate Matrix Visualizations	10.1145/3491102.3517673	Matrix visualizations are widely used to display large-scale network, tabular, set, or sequential data. They typically only encode a single value per cell, e.g., through color. However, this can greatly limit the visualizations’ utility when exploring multivariate data, where each cell represents a data point with mult...	false	false	[ "Yalong Yang 0001", "Wenyu Xia", "Fritz Lekschas", "Carolina Nobre", "Robert Krüger", "Hanspeter Pfister" ]	[]	[]	[]
CHI	2,022	Understanding and Designing Avatar Biosignal Visualizations for Social Virtual Reality Entertainment	10.1145/3491102.3517451	Visualizing biosignals can be important for social Virtual Reality (VR), where avatar non-verbal cues are missing. While several biosignal representations exist, designing effective visualizations and understanding user perceptions within social VR entertainment remains unclear. We adopt a mixed-methods approach to des...	false	false	[ "Sueyoon Lee", "Abdallah El Ali", "Maarten W. A. Wijntjes", "Pablo César" ]	[]	[]	[]
CHI	2,022	Understanding Visual Investigation Patterns Through Digital "Field" Observations	10.1145/3491102.3517445	An extensive body of work in visual analytics has examined how users conduct analyses in scientific and academic settings, identifying and categorizing user goals and the actions they undertake to achieve them. However, most of this work has studied the analysis process in simulated or isolated environments, leading to...	false	false	[ "Irene Rae", "Feng Zhou", "Martin Bilsing", "Philipp Bunge" ]	[]	[]	[]
CHI	2,022	VisGuide: User-Oriented Recommendations for Data Event Extraction	10.1145/3491102.3517648	Data exploration systems have become popular tools with which data analysts and others can explore raw data and organize their observations. However, users of such systems who are unfamiliar with their datasets face several challenges when trying to extract data events of interest to them. Those challenges include prog...	false	false	[ "Yu-Rong Cao", "Xiao-Han Li", "Jia-Yu Pan", "Wen-Chieh Lin" ]	[]	[]	[]
CHI	2,022	Visualization Accessibility in the Wild: Challenges Faced by Visualization Designers	10.1145/3491102.3517630	Data visualizations are now widely used across many disciplines. However, many of them are not easily accessible for visually impaired people. In this work, we use three-staged mixed methods to understand the current practice of accessible visualization design for visually impaired people. We analyzed 95 visualizations...	false	false	[ "Shakila Cherise S. Joyner", "Amalia Riegelhuth", "Kathleen Garrity", "Yea-Seul Kim", "Nam Wook Kim" ]	[]	[]	[]
CHI	2,022	Visualizing Instructions for Physical Training: Exploring Visual Cues to Support Movement Learning from Instructional Videos	10.1145/3491102.3517735	Instructional videos for physical training have gained popularity in recent years among sport and fitness practitioners, due to the proliferation of affordable and ubiquitous forms of online training. Yet, learning movement this way poses challenges: lack of feedback and personalised instructions, and having to rely on...	false	false	[ "Alessandra Semeraro", "Laia Turmo Vidal" ]	[]	[]	[]
CHI	2,022	Visualizing Urban Accessibility: Investigating Multi-Stakeholder Perspectives through a Map-based Design Probe Study	10.1145/3491102.3517460	Urban accessibility assessments are challenging: they involve varied stakeholders across decision-making contexts while serving a diverse population of people with disabilities. To better support urban accessibility assessment using data visualizations, we conducted a three-part interview study with 25 participants acr...	false	false	[ "Manaswi Saha", "Siddhant Patil", "Emily Cho", "Evie Yu-Yen Cheng", "Chris Horng", "Devanshi Chauhan", "Rachel Kangas", "Richard McGovern", "Anthony Li", "Jeffrey Heer", "Jon E. Froehlich" ]	[]	[]	[]
CHI	2,022	VoxLens: Making Online Data Visualizations Accessible with an Interactive JavaScript Plug-In	10.1145/3491102.3517431	JavaScript visualization libraries are widely used to create online data visualizations but provide limited access to their information for screen-reader users. Building on prior findings about the experiences of screen-reader users with online data visualizations, we present VoxLens, an open-source JavaScript plug-in ...	false	false	[ "Ather Sharif", "Olivia H. Wang", "Alida T. Muongchan", "Katharina Reinecke", "Jacob O. Wobbrock" ]	[]	[]	[]
Vis	2,021	A Critical Reflection on Visualization Research: Where Do Decision Making Tasks Hide?	10.1109/TVCG.2021.3114813	It has been widely suggested that a key goal of visualization systems is to assist decision making, but is this true? We conduct a critical investigation on whether the activity of decision making is indeed central to the visualization domain. By approaching decision making as a user task, we explore the degree to whic...	false	false	[ "Evanthia Dimara", "John T. Stasko" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/UDfr73S95YU", "icon": "video" } ]
Vis	2,021	A Design Space for Applying the Freytag's Pyramid Structure to Data Stories	10.1109/TVCG.2021.3114774	Data stories integrate compelling visual content to communicate data insights in the form of narratives. The narrative structure of a data story serves as the backbone that determines its expressiveness, and it can largely influence how audiences perceive the insights. Freytag's Pyramid is a classic narrative structure...	false	false	[ "Leni Yang", "Xian Xu", "Xingyu Lan", "Ziyan Liu", "Shunan Guo", "Yang Shi 0007", "Huamin Qu", "Nan Cao" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/l7mmyofcD8A", "icon": "video" } ]
Vis	2,021	A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces for Clustering	10.1109/TVCG.2021.3114872	Persistence diagrams have been widely used to quantify the underlying features of filtered topological spaces in data visualization. In many applications, computing distances between diagrams is essential; however, computing these distances has been challenging due to the computational cost. In this paper, we propose a...	false	false	[ "Yu Qin", "Brittany Terese Fasy", "Carola Wenk", "Brian Summa" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2105.12208v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/7uGtGV1G7qc", "icon": "video" } ]
Vis	2,021	A Memory Efficient Encoding for Ray Tracing Large Unstructured Data	10.1109/TVCG.2021.3114869	In theory, efficient and high-quality rendering of unstructured data should greatly benefit from modern GPUs, but in practice, GPUs are often limited by the large amount of memory that large meshes require for element representation and for sample reconstruction acceleration structures. We describe a memory-optimized e...	false	false	[ "Ingo Wald", "Nathan Morrical", "Stefan Zellmann" ]	[]	[]	[]
Vis	2,021	A Mixed-Initiative Approach to Reusing Infographic Charts	10.1109/TVCG.2021.3114856	Infographic bar charts have been widely adopted for communicating numerical information because of their attractiveness and memorability. However, these infographics are often created manually with general tools, such as PowerPoint and Adobe Illustrator, and merely composed of primitive visual elements, such as text bl...	false	false	[ "Weiwei Cui", "Jinpeng Wang", "He Huang", "Yun Wang 0012", "Chin-Yew Lin", "Haidong Zhang", "Dongmei Zhang 0001" ]	[]	[]	[]
Vis	2,021	A Visualization Approach for Monitoring Order Processing in E-Commerce Warehouse	10.1109/TVCG.2021.3114878	The efficiency of warehouses is vital to e-commerce. Fast order processing at the warehouses ensures timely deliveries and improves customer satisfaction. However, monitoring, analyzing, and manipulating order processing in the warehouses in real time are challenging for traditional methods due to the sheer volume of i...	false	false	[ "Junxiu Tang", "Yuhua Zhou", "Tan Tang", "Di Weng", "Boyang Xie", "Lingyun Yu 0001", "Huaqiang Zhang", "Yingcai Wu" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/GZCKFCVMYFs", "icon": "video" } ]
Vis	2,021	Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content	10.1109/TVCG.2021.3114770	Natural language descriptions sometimes accompany visualizations to better communicate and contextualize their insights, and to improve their accessibility for readers with disabilities. However, it is difficult to evaluate the usefulness of these descriptions, and how effectively they improve access to meaningful info...	false	false	[ "Alan Lundgard", "Arvind Satyanarayan" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2110.04406v1", "icon": "paper" } ]
Vis	2,021	AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing	10.1109/TVCG.2021.3114784	We present an approach utilizing Topological Data Analysis to study the structure of face poses used in affective computing, i.e., the process of recognizing human emotion. The approach uses a conditional comparison of different emotions, both respective and irrespective of time, with multiple topological distance metr...	false	false	[ "Hamza Elhamdadi", "Shaun J. Canavan", "Paul Rosen 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.08573v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/KgQhn8BgztQ", "icon": "video" } ]
Vis	2,021	An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization	10.1109/TVCG.2021.3114782	Authors often transform a large screen visualization for smaller displays through rescaling, aggregation and other techniques when creating visualizations for both desktop and mobile devices (i.e., responsive visualization). However, transformations can alter relationships or patterns implied by the large screen view, ...	false	false	[ "Hyeok Kim", "Ryan A. Rossi", "Abhraneel Sarma", "Dominik Moritz", "Jessica Hullman" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.08141v1", "icon": "paper" } ]
Vis	2,021	An Efficient Dual-Hierarchy t-SNE Minimization	10.1109/TVCG.2021.3114817	t-distributed Stochastic Neighbour Embedding (t-SNE) has become a standard for exploratory data analysis, as it is capable of revealing clusters even in complex data while requiring minimal user input. While its run-time complexity limited it to small datasets in the past, recent efforts improved upon the expensive sim...	false	false	[ "Mark van de Ruit", "Markus Billeter", "Elmar Eisemann" ]	[]	[]	[]
Vis	2,021	An Evaluation-Focused Framework for Visualization Recommendation Algorithms	10.1109/TVCG.2021.3114814	Although we have seen a proliferation of algorithms for recommending visualizations, these algorithms are rarely compared with one another, making it difficult to ascertain which algorithm is best for a given visual analysis scenario. Though several formal frameworks have been proposed in response, we believe this issu...	false	false	[ "Zehua Zeng", "Phoebe Moh", "Fan Du", "Jane Hoffswell", "Tak Yeon Lee", "Sana Malik", "Eunyee Koh", "Leilani Battle" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2109.02706v1", "icon": "paper" } ]
Vis	2,021	Attribute-based Explanation of Non-Linear Embeddings of High-Dimensional Data	10.1109/TVCG.2021.3114870	Embeddings of high-dimensional data are widely used to explore data, to verify analysis results, and to communicate information. Their explanation, in particular with respect to the input attributes, is often difficult. With linear projects like PCA the axes can still be annotated meaningfully. With non-linear projecti...	false	false	[ "Jan-Tobias Sohns", "Michaela Schmitt", "Fabian Jirasek", "Hans Hasse", "Heike Leitte" ]	[]	[]	[]
Vis	2,021	Augmenting Sports Videos with VisCommentator	10.1109/TVCG.2021.3114806	Visualizing data in sports videos is gaining traction in sports analytics, given its ability to communicate insights and explicate player strategies engagingly. However, augmenting sports videos with such data visualizations is challenging, especially for sports analysts, as it requires considerable expertise in video ...	false	false	[ "Zhutian Chen", "Shuainan Ye", "Xiangtong Chu", "Haijun Xia", "Hui Zhang 0051", "Huamin Qu", "Yingcai Wu" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2306.13491v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/XyvyPYvd54k", "icon": "video" } ]
Vis	2,021	Automatic Polygon Layout for Primal-Dual Visualization of Hypergraphs	10.1109/TVCG.2021.3114759	N-ary relationships, which relate $N$ entities where $N$ is not necessarily two, can be visually represented as polygons whose vertices are the entities of the relationships. Manually generating a high-quality layout using this representation is labor-intensive. In this paper, we provide an automatic polygon layout gen...	false	false	[ "Botong Qu", "Eugene Zhang", "Yue Zhang 0009" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.00671v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/M9siftg-vIc", "icon": "video" } ]
Vis	2,021	Causal Support: Modeling Causal Inferences with Visualizations	10.1109/TVCG.2021.3114824	Analysts often make visual causal inferences about possible data-generating models. However, visual analytics (VA) software tends to leave these models implicit in the mind of the analyst, which casts doubt on the statistical validity of informal visual “insights”. We formally evaluate the quality of causal inferences ...	false	false	[ "Alex Kale", "Yifan Wu", "Jessica Hullman" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.13485v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Tl6gXHw-EvU", "icon": "video" } ]
Vis	2,021	Communicating Visualizations without Visuals: Investigation of Visualization Alternative Text for People with Visual Impairments	10.1109/TVCG.2021.3114846	Alternative text is critical in communicating graphics to people who are blind or have low vision. Especially for graphics that contain rich information, such as visualizations, poorly written or an absence of alternative texts can worsen the information access inequality for people with visual impairments. In this wor...	false	false	[ "Crescentia Jung", "Shubham Mehta", "Atharva Kulkarni", "Yuhang Zhao 0001", "Yea-Seul Kim" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03657v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/JsS1FfH7J8s", "icon": "video" } ]
Vis	2,021	Compass: Towards Better Causal Analysis of Urban Time Series	10.1109/TVCG.2021.3114875	The spatial time series generated by city sensors allow us to observe urban phenomena like environmental pollution and traffic congestion at an unprecedented scale. However, recovering causal relations from these observations to explain the sources of urban phenomena remains a challenging task because these causal rela...	false	false	[ "Zikun Deng", "Di Weng", "Xiao Xie", "Jie Bao 0003", "Yu Zheng 0004", "Mingliang Xu", "Wei Chen 0001", "Yingcai Wu" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/XQpSA3iRs7k", "icon": "video" } ]
Vis	2,021	Context Matters: A Theory of Semantic Discriminability for Perceptual Encoding Systems	10.1109/TVCG.2021.3114780	People's associations between colors and concepts influence their ability to interpret the meanings of colors in information visualizations. Previous work has suggested such effects are limited to concepts that have strong, specific associations with colors. However, although a concept may not be strongly associated wi...	false	false	[ "Kushin Mukherjee", "Brian Yin", "Brianne E. Sherman", "Laurent Lessard", "Karen B. Schloss" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03685v4", "icon": "paper" } ]
Vis	2,021	CoUX: Collaborative Visual Analysis of Think-Aloud Usability Test Videos for Digital Interfaces	10.1109/TVCG.2021.3114822	Reviewing a think-aloud video is both time-consuming and demanding as it requires UX (user experience) professionals to attend to many behavioral signals of the user in the video. Moreover, challenges arise when multiple UX professionals need to collaborate to reduce bias and errors. We propose a collaborative visual a...	false	false	[ "Ehsan Jahangirzadeh Soure", "Emily Kuang", "Mingming Fan 0001", "Jian Zhao 0010" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/36l1zxUS_N4", "icon": "video" } ]
Vis	2,021	COVID-view: Diagnosis of COVID-19 using Chest CT	10.1109/TVCG.2021.3114851	Significant work has been done towards deep learning (DL) models for automatic lung and lesion segmentation and classification of COVID-19 on chest CT data. However, comprehensive visualization systems focused on supporting the dual visual+DL diagnosis of COVID-19 are non-existent. We present COVID-view, a visualizatio...	false	false	[ "Shreeraj Jadhav", "Gaofeng Deng", "Marlene Zawin", "Arie E. Kaufman" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03799v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/q9PAQZU8bb0", "icon": "video" } ]
Vis	2,021	DDLVis: Real-time Visual Query of Spatiotemporal Data Distribution via Density Dictionary Learning	10.1109/TVCG.2021.3114762	Visual query of spatiotemporal data is becoming an increasingly important function in visual analytics applications. Various works have been presented for querying large spatiotemporal data in real time. However, the real-time query of spatiotemporal data distribution is still an open challenge. As spatiotemporal data ...	false	false	[ "Chenhui Li", "George Baciu", "Yunzhe Wang", "Junjie Chen", "Changbo Wang" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/mo92ArEk8Nk", "icon": "video" } ]
Vis	2,021	DIEL: Interactive Visualization Beyond the Here and Now	10.1109/TVCG.2021.3114796	Interactive visualization design and research have primarily focused on local data and synchronous events. However, for more complex use cases-e.g., remote database access and streaming data sources-developers must grapple with distributed data and asynchronous events. Currently, constructing these use cases is difficu...	false	false	[ "Yifan Wu", "Remco Chang", "Joseph M. Hellerstein", "Arvind Satyanarayan", "Eugene Wu 0002" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.00062v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/PB3D4RRI7Es", "icon": "video" } ]
Vis	2,021	Differentiable Direct Volume Rendering	10.1109/TVCG.2021.3114769	We present a differentiable volume rendering solution that provides differentiability of all continuous parameters of the volume rendering process. This differentiable renderer is used to steer the parameters towards a setting with an optimal solution of a problem-specific objective function. We have tailored the appro...	false	false	[ "Sebastian Weiss", "Rüdiger Westermann" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.12672v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/5E2I8iDKVIc", "icon": "video" } ]
Vis	2,021	E-ffective: A Visual Analytic System for Exploring the Emotion and Effectiveness of Inspirational Speeches	10.1109/TVCG.2021.3114789	What makes speeches effective has long been a subject for debate, and until today there is broad controversy among public speaking experts about what factors make a speech effective as well as the roles of these factors in speeches. Moreover, there is a lack of quantitative analysis methods to help understand effective...	false	false	[ "Kevin T. Maher", "Ze-Yuan Huang", "Jian-Cheng Song", "Xiaoming Deng 0001", "Yu-Kun Lai", "CuiXia Ma", "Hao Wang 0005", "Yong-Jin Liu", "Hongan Wang" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2110.14908v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/TyKuaEtYQm0", "icon": "video" } ]
Vis	2,021	Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach	10.1109/TVCG.2021.3114795	Edge bundling techniques cluster edges with similar attributes (i.e. similarity in direction and proximity) together to reduce the visual clutter. All edge bundling techniques to date implicitly or explicitly cluster groups of individual edges, or parts of them, together based on these attributes. These clusters can re...	false	false	[ "Markus Wallinger", "Daniel Archambault", "David Auber", "Martin Nöllenburg", "Jaakko Peltonen" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.05467v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/3NHfrXpS2IU", "icon": "video" } ]
Vis	2,021	Effect of uncertainty visualizations on myopic loss aversion and the equity premium puzzle in retirement investment decisions	10.1109/TVCG.2021.3114692	For many households, investing for retirement is one of the most significant decisions and is fraught with uncertainty. In a classic study in behavioral economics, Benartzi and Thaler (1999) found evidence using bar charts that investors exhibit myopic loss aversion in retirement decisions: Investors overly focus on th...	false	false	[ "Ryan Wesslen", "Alireza Karduni", "Douglas Markant", "Wenwen Dou" ]	[]	[]	[]
Vis	2,021	EVis: Visually Analyzing Environmentally Driven Events	10.1109/TVCG.2021.3114867	Earth scientists are increasingly employing time series data with multiple dimensions and high temporal resolution to study the impacts of climate and environmental changes on Earth's atmosphere, biosphere, hydrosphere, and lithosphere. However, the large number of variables and varying time scales of antecedent condit...	false	false	[ "Tinghao Feng", "Jing Yang 0001", "Martha-Cary Eppes", "Zhaocong Yang", "Faye Moser" ]	[]	[]	[]
Vis	2,021	Examining Effort in 1D Uncertainty Communication Using Individual Differences in Working Memory and NASA-TLX	10.1109/TVCG.2021.3114803	As uncertainty visualizations for general audiences become increasingly common, designers must understand the full impact of uncertainty communication techniques on viewers' decision processes. Prior work demonstrates mixed performance outcomes with respect to how individuals make decisions using various visual and tex...	false	false	[ "Spencer C. Castro", "P. Samuel Quinan", "Helia Hosseinpour", "Lace M. K. Padilla" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/wpz8b", "icon": "paper" } ]
Vis	2,021	Explanatory Journeys: Visualising to Understand and Explain Administrative Justice Paths of Redress	10.1109/TVCG.2021.3114818	Administrative justice concerns the relationships between individuals and the state. It includes redress and complaints on decisions of a child's education, social care, licensing, planning, environment, housing and homelessness. However, if someone has a complaint or an issue, it is challenging for people to understan...	false	false	[ "Jonathan Roberts 0002", "Peter W. S. Butcher", "Ann Sherlock", "Sarah Nason" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.14013v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/uwJeTbqri0M", "icon": "video" } ]
Vis	2,021	Exploring the Personal Informatics Analysis Gap: "There's a Lot of Bacon"	10.1109/TVCG.2021.3114798	Personal informatics research helps people track personal data for the purposes of self-reflection and gaining self-knowledge. This field, however, has predominantly focused on the data collection and insight-generation elements of self-tracking, with less attention paid to flexible data analysis. As a result, this ina...	false	false	[ "Jimmy Moore", "Pascal Goffin", "Jason Wiese", "Miriah D. Meyer" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03761v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/8U4hGTpmzXE", "icon": "video" } ]
Vis	2,021	F2-Bubbles: Faithful Bubble Set Construction and Flexible Editing	10.1109/TVCG.2021.3114761	In this paper, we propose F2-Bubbles, a set overlay visualization technique that addresses overlapping artifacts and supports interactive editing with intelligent suggestions. The core of our method is a new, efficient set overlay construction algorithm that approximates the optimal set overlay by considering set eleme...	false	false	[ "Yunhai Wang", "Da Cheng", "Zhirui Wang", "Jian Zhang 0070", "Liang Zhou 0001", "Gaoqi He", "Oliver Deussen" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/AeQuMMXHWl8", "icon": "video" } ]
Vis	2,021	FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models	10.1109/TVCG.2021.3114850	Graph mining is an essential component of recommender systems and search engines. Outputs of graph mining models typically provide a ranked list sorted by each item's relevance or utility. However, recent research has identified issues of algorithmic bias in such models, and new graph mining algorithms have been propos...	false	false	[ "Tiankai Xie", "Yuxin Ma", "Jian Kang", "Hanghang Tong", "Ross Maciejewski" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/LAxI6_i3CHo", "icon": "video" } ]
Vis	2,021	Feature Curves and Surfaces of 3D Asymmetric Tensor Fields	10.1109/TVCG.2021.3114808	3D asymmetric tensor fields have found many applications in science and engineering domains, such as fluid dynamics and solid mechanics. 3D asymmetric tensors can have complex eigenvalues, which makes their analysis and visualization more challenging than 3D symmetric tensors. Existing research in tensor field visualiz...	false	false	[ "Shih-Hsuan Hung", "Yue Zhang 0009", "Harry Yeh", "Eugene Zhang" ]	[ "BP" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.02114v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/kIYX3lWuIew", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/LZ5MjWtcGp8?si=DXxOiwZ8NnbGPhFt", "icon": ...
Vis	2,021	From Jam Session to Recital: Synchronous Communication and Collaboration Around Data in Organizations	10.1109/TVCG.2021.3114760	Prior research on communicating with visualization has focused on public presentation and asynchronous individual consumption, such as in the domain of journalism. The visualization research community knows comparatively little about synchronous and multimodal communication around data within organizations, from team m...	false	false	[ "Matthew Brehmer", "Robert Kosara" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.09042v1", "icon": "paper" } ]
Vis	2,021	Gender in 30 Years of IEEE Visualization	10.1109/TVCG.2021.3114787	We present an exploratory analysis of gender representation among the authors, committee members, and award winners at the IEEE Visualization (VIS) conference over the last 30 years. Our goal is to provide descriptive data on which diversity discussions and efforts in the community can build. We look in particular at t...	false	false	[ "Natkamon Tovanich", "Pierre Dragicevic", "Petra Isenberg" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/00FBt95k2-s", "icon": "video" } ]
Vis	2,021	Generative Design Inspiration for Glyphs with Diatoms	10.1109/TVCG.2021.3114792	We introduce Diatoms, a technique that generates design inspiration for glyphs by sampling from palettes of mark shapes, encoding channels, and glyph scaffold shapes. Diatoms allows for a degree of randomness while respecting constraints imposed by columns in a data table: their data types and domains as well as semant...	false	false	[ "Matthew Brehmer", "Robert Kosara", "Carmen Hull" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.09015v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/xm2Hn7ykKt4", "icon": "video" } ]
Vis	2,021	GenNI: Human-AI Collaboration for Data-Backed Text Generation	10.1109/TVCG.2021.3114845	Table2Text systems generate textual output based on structured data utilizing machine learning. These systems are essential for fluent natural language interfaces in tools such as virtual assistants; however, left to generate freely these ML systems often produce misleading or unexpected outputs. GenNI (Generation Nego...	false	false	[ "Hendrik Strobelt", "Jambay Kinley", "Robert Krüger", "Johanna Beyer", "Hanspeter Pfister", "Alexander M. Rush" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2110.10185v1", "icon": "paper" } ]
Vis	2,021	Geo-Context Aware Study of Vision-Based Autonomous Driving Models and Spatial Video Data	10.1109/TVCG.2021.3114853	Vision-based deep learning (DL) methods have made great progress in learning autonomous driving models from large-scale crowd-sourced video datasets. They are trained to predict instantaneous driving behaviors from video data captured by on-vehicle cameras. In this paper, we develop a geo-context aware visualization sy...	false	false	[ "Suphanut Jamonnak", "Ye Zhao 0003", "Xinyi Huang", "Md. Amiruzzaman" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2109.10895v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Y8bN-6G3Vko", "icon": "video" } ]
Vis	2,021	GlyphCreator: Towards Example-based Automatic Generation of Circular Glyphs	10.1109/TVCG.2021.3114877	Circular glyphs are used across disparate fields to represent multidimensional data. However, although these glyphs are extremely effective, creating them is often laborious, even for those with professional design skills. This paper presents GlyphCreator, an interactive tool for the example-based generation of circula...	false	false	[ "Lu Ying", "Tan Tang", "Yuzhe Luo", "Lvkeshen Shen", "Xiao Xie", "Lingyun Yu 0001", "Yingcai Wu" ]	[]	[]	[]
Vis	2,021	Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization	10.1109/TVCG.2021.3114876	The combination of diverse data types and analysis tasks in genomics has resulted in the development of a wide range of visualization techniques and tools. However, most existing tools are tailored to a specific problem or data type and offer limited customization, making it challenging to optimize visualizations for n...	false	false	[ "Sehi L'Yi", "Qianwen Wang", "Fritz Lekschas", "Nils Gehlenborg" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/6evmb", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Wvyb9dus9eU", "icon": "video" } ]
Vis	2,021	Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models	10.1109/TVCG.2021.3114837	The interpretation of deep neural networks (DNNs) has become a key topic as more and more people apply them to solve various problems and making critical decisions. Concept-based explanations have recently become a popular approach for post-hoc interpretation of DNNs. However, identifying human-understandable visual co...	false	false	[ "Zhenge Zhao", "Panpan Xu", "Carlos Scheidegger", "Ren Liu" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03738v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/OrnFfB7rCKY", "icon": "video" } ]
Vis	2,021	Improving Visualization Interpretation Using Counterfactuals	10.1109/TVCG.2021.3114779	Complex, high-dimensional data is used in a wide range of domains to explore problems and make decisions. Analysis of high-dimensional data, however, is vulnerable to the hidden influence of confounding variables, especially as users apply ad hoc filtering operations to visualize only specific subsets of an entire data...	false	false	[ "Smiti Kaul", "David Borland", "Nan Cao", "David Gotz" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.10309v1", "icon": "paper" } ]
Vis	2,021	Interactive Data Comics	10.1109/TVCG.2021.3114849	This paper investigates how to make data comics interactive. Data comics are an effective and versatile means for visual communication, leveraging the power of sequential narration and combined textual and visual content, while providing an overview of the storyline through panels assembled in expressive layouts. While...	false	false	[ "Zezhong Wang 0001", "Hugo Romat", "Fanny Chevalier", "Nathalie Henry Riche", "David Murray-Rust", "Benjamin Bach" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/dx7mj", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/w8gLs-jYm04", "icon": "video" } ]
Vis	2,021	Interactive Dimensionality Reduction for Comparative Analysis	10.1109/TVCG.2021.3114807	Finding the similarities and differences between groups of datasets is a fundamental analysis task. For high-dimensional data, dimensionality reduction (DR) methods are often used to find the characteristics of each group. However, existing DR methods provide limited capability and flexibility for such comparative anal...	false	false	[ "Takanori Fujiwara", "Xinhai Wei", "Jian Zhao 0010", "Kwan-Liu Ma" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2106.15481v3", "icon": "paper" } ]
Vis	2,021	Interactive Exploration of Physically-Observable Objective Vortices in Unsteady 2D Flow	10.1109/TVCG.2021.3115565	State-of-the-art computation and visualization of vortices in unsteady fluid flow employ objective vortex criteria, which makes them independent of reference frames or observers. However, objectivity by itself, although crucial, is not sufficient to guarantee that one can identify physically-realizable observers that w...	false	false	[ "Xingdi Zhang", "Markus Hadwiger", "Thomas Theußl", "Peter Rautek" ]	[ "HM" ]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/0kdWTHGd5yQ", "icon": "video" } ]
Vis	2,021	Interactive Visual Pattern Search on Graph Data via Graph Representation Learning	10.1109/TVCG.2021.3114857	Graphs are a ubiquitous data structure to model processes and relations in a wide range of domains. Examples include control-flow graphs in programs and semantic scene graphs in images. Identifying subgraph patterns in graphs is an important approach to understand their structural properties. We propose a visual analyt...	false	false	[ "Huan Song", "Zeng Dai", "Panpan Xu", "Ren Liu" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2202.09459v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/6dP9SR-ZSSc", "icon": "video" } ]
Vis	2,021	IRVINE: A Design Study on Analyzing Correlation Patterns of Electrical Engines	10.1109/TVCG.2021.3114797	In this design study, we present IRVINE, a Visual Analytics (VA) system, which facilitates the analysis of acoustic data to detect and understand previously unknown errors in the manufacturing of electrical engines. In serial manufacturing processes, signatures from acoustic data provide valuable information on how the...	false	false	[ "Joscha Eirich", "Jakob Bonart", "Dominik Jäckle", "Michael Sedlmair", "Ute Schmid", "Kai Fischbach", "Tobias Schreck", "Jürgen Bernard" ]	[ "BP" ]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/EKO-fgUCF5w", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/E_u27Xltbt0?si=tW5gKHGm9Y0glGFL", "icon": "video" } ]
Vis	2,021	Joint t-SNE for Comparable Projections of Multiple High-Dimensional Datasets	10.1109/TVCG.2021.3114765	We present Joint t-Stochastic Neighbor Embedding (Joint t-SNE), a technique to generate comparable projections of multiple high-dimensional datasets. Although t-SNE has been widely employed to visualize high-dimensional datasets from various domains, it is limited to projecting a single dataset. When a series of high-d...	false	false	[ "Yinqiao Wang", "Lu Chen", "Jaemin Jo", "Yunhai Wang" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/6Gxdv-unloM", "icon": "video" } ]
Vis	2,021	KD-Box: Line-segment-based KD-tree for Interactive Exploration of Large-scale Time-Series Data	10.1109/TVCG.2021.3114865	Time-series data-usually presented in the form of lines-plays an important role in many domains such as finance, meteorology, health, and urban informatics. Yet, little has been done to support interactive exploration of large-scale time-series data, which requires a clutter-free visual representation with low-latency ...	false	false	[ "Yue Zhao", "Yunhai Wang", "Jian Zhang 0070", "Chi-Wing Fu", "Mingliang Xu", "Dominik Moritz" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/zHiYTZUw5Co", "icon": "video" } ]
Vis	2,021	KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation	10.1109/TVCG.2021.3114863	Visualization recommendation or automatic visualization generation can significantly lower the barriers for general users to rapidly create effective data visualizations, especially for those users without a background in data visualizations. However, existing rule-based approaches require tedious manual specifications...	false	false	[ "Haotian Li 0001", "Yong Wang 0021", "Songheng Zhang", "Yangqiu Song", "Huamin Qu" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.12548v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/RVX1jFGNLdw", "icon": "video" } ]
Vis	2,021	Kineticharts: Augmenting Affective Expressiveness of Charts in Data Stories with Animation Design	10.1109/TVCG.2021.3114775	Data stories often seek to elicit affective feelings from viewers. However, how to design affective data stories remains under-explored. In this work, we investigate one specific design factor, animation, and present Kineticharts, an animation design scheme for creating charts that express five positive affects: joy, a...	false	false	[ "Xingyu Lan", "Yang Shi 0007", "Yanqiu Wu", "Xiaohan Jiao", "Nan Cao" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/e-CXSOpKuyY", "icon": "video" } ]
Vis	2,021	Knowledge Rocks: Adding Knowledge Assistance to Visualization Systems	10.1109/TVCG.2021.3114687	We present Knowledge Rocks, an implementation strategy and guideline for augmenting visualization systems to knowledge-assisted visualization systems, as defined by the KAVA model. Visualization systems become more and more sophisticated. Hence, it is increasingly important to support users with an integrated knowledge...	false	false	[ "Anna Pia Lohfink", "Simon Duque Antón", "Heike Leitte", "Christoph Garth" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.11095v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/4laWRkt2rC0", "icon": "video" } ]
Vis	2,021	Kori: Interactive Synthesis of Text and Charts in Data Documents	10.1109/TVCG.2021.3114802	Charts go hand in hand with text to communicate complex data and are widely adopted in news articles, online blogs, and academic papers. They provide graphical summaries of the data, while text explains the message and context. However, synthesizing information across text and charts is difficult; it requires readers t...	false	false	[ "Shahid Latif", "Zheng Zhou", "Yoon Kim", "Fabian Beck 0001", "Nam Wook Kim" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.04203v1", "icon": "paper" } ]
Vis	2,021	Learning Objectives, Insights, and Assessments: How Specification Formats Impact Design	10.1109/TVCG.2021.3114811	Despite the ubiquity of communicative visualizations, specifying communicative intent during design is ad hoc. Whether we are selecting from a set of visualizations, commissioning someone to produce them, or creating them ourselves, an effective way of specifying intent can help guide this process. Ideally, we would ha...	false	false	[ "Elsie Lee-Robbins", "Shiqing He", "Eytan Adar" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03111v1", "icon": "paper" } ]
Vis	2,021	Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases	10.1109/TVCG.2021.3114862	Human biases impact the way people analyze data and make decisions. Recent work has shown that some visualization designs can better support cognitive processes and mitigate cognitive biases (i.e., errors that occur due to the use of mental “shortcuts”). In this work, we explore how visualizing a user's interaction his...	false	false	[ "Emily Wall", "Arpit Narechania", "Adam Coscia", "Jamal Paden", "Alex Endert" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03536v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/KBAkr9ROv5k", "icon": "video" } ]

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