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train · 6.09k rows

Conference stringclasses 6 values	Year int64 1.99k 2.03k	Title stringlengths 8 187	DOI stringlengths 16 32	Abstract stringlengths 128 7.15k ⌀	Accessible bool 2 classes	Early bool 2 classes	AuthorNames-Deduped listlengths 1 24	Award listlengths 0 2	Resources listlengths 0 5	ResourceLinks listlengths 0 10
CHI	2,023	DataHalo: A Customizable Notification Visualization System for Personalized and Longitudinal Interactions	10.1145/3544548.3580828	People struggle with the overflow of smartphone notifications but often face two challenges: (1) prioritizing the informative notifications as they wish and (2) retaining the delivered information as long as they want to utilize it. In this paper, we present DataHalo, a customizable notification visualization system th...	false	false	[ "GuHyun Han", "Jaehun Jung", "Young-Ho Kim", "Jinwook Seo" ]	[]	[]	[]
CHI	2,023	DataLev: Mid-air Data Physicalisation Using Acoustic Levitation	10.1145/3544548.3581016	Data physicalisation is a technique that encodes data through the geometric and material properties of an artefact, allowing users to engage with data in a more immersive and multi-sensory way. However, current methods of data physicalisation are limited in terms of their reconfigurability and the types of materials th...	false	false	[ "Lei Gao", "Pourang Irani", "Sriram Subramanian", "Gowdham Prabhakar", "Diego Martínez Plasencia", "Ryuji Hirayama" ]	[]	[]	[]
CHI	2,023	DataParticles: Block-based and Language-oriented Authoring of Animated Unit Visualizations	10.1145/3544548.3581472	Unit visualizations have been widely used in data storytelling within interactive articles and videos. However, authoring data stories that contain animated unit visualizations is challenging due to the tedious, time-consuming process of switching back and forth between writing a narrative and configuring the accompany...	false	false	[ "Yining Cao", "Jane L. E", "Zhutian Chen", "Haijun Xia" ]	[]	[]	[]
CHI	2,023	DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation	10.1145/3544548.3581509	Selecting relevant data subsets from large, unfamiliar datasets can be difficult. We address this challenge by modeling and visualizing two kinds of auxiliary information: (1) quality – the validity and appropriateness of data required to perform certain analytical tasks; and (2) usage – the historical utilization char...	false	false	[ "Arpit Narechania", "Fan Du", "Atanu R. Sinha", "Ryan A. Rossi", "Jane Hoffswell", "Shunan Guo", "Eunyee Koh", "Shamkant B. Navathe", "Alex Endert" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2303.01575v1", "icon": "paper" } ]
CHI	2,023	DeepLens: Interactive Out-of-distribution Data Detection in NLP Models	10.1145/3544548.3580741	Machine Learning (ML) has been widely used in Natural Language Processing (NLP) applications. A fundamental assumption in ML is that training data and real-world data should follow a similar distribution. However, a deployed ML model may suffer from out-of-distribution (OOD) issues due to distribution shifts in the rea...	false	false	[ "Da Song", "Zhijie Wang", "Yuheng Huang", "Lei Ma 0003", "Tianyi Zhang 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2303.01577v1", "icon": "paper" } ]
CHI	2,023	Deimos: A Grammar of Dynamic Embodied Immersive Visualisation Morphs and Transitions	10.1145/3544548.3580754	We present Deimos, a grammar for specifying dynamic embodied immersive visualisation morphs and transitions. A morph is a collection of animated transitions that are dynamically applied to immersive visualisations at runtime and is conceptually modelled as a state machine. It is comprised of state, transition, and sign...	false	false	[ "Benjamin Lee", "Arvind Satyanarayan", "Maxime Cordeil", "Arnaud Prouzeau", "Bernhard Jenny", "Tim Dwyer" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2302.13655v1", "icon": "paper" } ]
CHI	2,023	Designing Resource Allocation Tools to Promote Fair Allocation: Do Visualization and Information Framing Matter?	10.1145/3544548.3580739	Studies on human decision-making focused on humanitarian aid have found that cognitive biases can hinder the fair allocation of resources. However, few HCI and Information Visualization studies have explored ways to overcome those cognitive biases. This work investigates whether the design of interactive resource alloc...	false	false	[ "Arnav Verma", "Luiz Augusto de Macêdo Morais", "Pierre Dragicevic", "Fanny Chevalier" ]	[]	[]	[]
CHI	2,023	DRAVA: Aligning Human Concepts with Machine Learning Latent Dimensions for the Visual Exploration of Small Multiples	10.1145/3544548.3581127	Latent vectors extracted by machine learning (ML) are widely used in data exploration (e.g., t-SNE) but suffer from a lack of interpretability. While previous studies employed disentangled representation learning (DRL) to enable more interpretable exploration, they often overlooked the potential mismatches between the ...	false	false	[ "Qianwen Wang", "Sehi L'Yi", "Nils Gehlenborg" ]	[]	[]	[]
CHI	2,023	ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis	10.1145/3544548.3581373	Classification models learn to generalize the associations between data samples and their target classes. However, researchers have increasingly observed that machine learning practice easily leads to systematic errors in AI applications, a phenomenon referred to as “AI blindspots.” Such blindspots arise when a model i...	false	false	[ "Yongsu Ahn", "Yu-Ru Lin", "Panpan Xu", "Zeng Dai" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2303.09657v1", "icon": "paper" } ]
CHI	2,023	Exploring Chart Question Answering for Blind and Low Vision Users	10.1145/3544548.3581532	Data visualizations can be complex or involve numerous data points, making them impractical to navigate using screen readers alone. Question answering (QA) systems have the potential to support visualization interpretation and exploration without overwhelming blind and low vision (BLV) users. To investigate if and how ...	false	false	[ "Jiho Kim", "Arjun Srinivasan", "Nam Wook Kim", "Yea-Seul Kim" ]	[]	[]	[]
CHI	2,023	Exploring Co-located Interactions with a Shape-Changing Bar Chart	10.1145/3544548.3581214	Data-physicalizations encode data and meaning through geometry or material properties, providing a non-planar view of data, offering novel opportunities for interrogation, discovery and presentation. This field has explored how single users interact with complex 3D data, but the challenges in the application of this te...	false	false	[ "Miriam Sturdee", "Hayat Kara", "Jason Alexander" ]	[]	[]	[]
CHI	2,023	FlowAR: How Different Augmented Reality Visualizations of Online Fitness Videos Support Flow for At-Home Yoga Exercises	10.1145/3544548.3580897	Online fitness video tutorials are an increasingly popular way to stay fit at home without a personal trainer. However, to keep the screen playing the video in view, users typically disrupt their balance and break the motion flow — two main pillars for the correct execution of yoga poses. While past research partially ...	false	false	[ "Hye-Young Jo", "Laurenz Seidel", "Michel Pahud", "Mike Sinclair", "Andrea Bianchi" ]	[]	[]	[]
CHI	2,023	From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for Children	10.1145/3544548.3581573	Throughout the COVID-19 pandemic, visualizations became commonplace in public communications to help people make sense of the world and the reasons behind government-imposed restrictions. Though the adult population were the main target of these messages, children were affected by restrictions through not being able to...	false	false	[ "Graham Mcneill", "Max Sondag", "Stewart Powell", "Phoebe Asplin", "Cagatay Turkay", "Faron Moller", "Daniel Archambault" ]	[]	[]	[]
CHI	2,023	GAM Coach: Towards Interactive and User-centered Algorithmic Recourse	10.1145/3544548.3580816	Machine learning (ML) recourse techniques are increasingly used in high-stakes domains, providing end users with actions to alter ML predictions, but they assume ML developers understand what input variables can be changed. However, a recourse plan’s actionability is subjective and unlikely to match developers’ expecta...	false	false	[ "Zijie J. Wang", "Jennifer Wortman Vaughan", "Rich Caruana", "Duen Horng Chau" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2302.14165v2", "icon": "paper" } ]
CHI	2,023	GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements	10.1145/3544548.3581470	In geographic data videos, camera movements are frequently used and combined to present information from multiple perspectives. However, creating and editing camera movements requires significant time and professional skills. This work aims to lower the barrier of crafting diverse camera movements for geographic data v...	false	false	[ "Wenchao Li 0005", "Zhan Wang", "Yun Wang 0012", "Di Weng", "Liwenhan Xie", "Siming Chen 0001", "Haidong Zhang", "Huamin Qu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2303.06460v3", "icon": "paper" } ]
CHI	2,023	GestureExplorer: Immersive Visualisation and Exploration of Gesture Data	10.1145/3544548.3580678	This paper presents the design and evaluation of GestureExplorer, an Immersive Analytics tool that supports the interactive exploration, classification and sensemaking with large sets of 3D temporal gesture data. GestureExplorer features 3D skeletal and trajectory visualisations of gestures combined with abstract visua...	false	false	[ "Ang Li 0007", "Jiazhou Liu", "Maxime Cordeil", "Jack Topliss", "Thammathip Piumsomboon", "Barrett Ens" ]	[]	[]	[]
CHI	2,023	Going, Going, Gone: Exploring Intention Communication for Multi-User Locomotion in Virtual Reality	10.1145/3544548.3581259	Exploring virtual worlds together with others adds a social component to the Virtual Reality (VR) experience that increases connectedness. In the physical world, joint locomotion comes naturally through implicit intention communication and subsequent adjustments of the movement patterns. In VR, however, discrete locomo...	false	false	[ "Julian Rasch", "Vladislav Dmitrievic Rusakov", "Martin Schmitz", "Florian Müller 0003" ]	[ "BP" ]	[]	[]
CHI	2,023	Graphical Perception of Saliency-based Model Explanations	10.1145/3544548.3581320	In recent years, considerable work has been devoted to explaining predictive, deep learning-based models, and in turn how to evaluate explanations. An important class of evaluation methods are ones that are human-centered, which typically require the communication of explanations through visualizations. And while visua...	false	false	[ "Yayan Zhao", "Mingwei Li", "Matthew Berger" ]	[]	[]	[]
CHI	2,023	Groupnamics: Designing an Interface for Overviewing and Managing Parallel Group Discussions in an Online Classroom	10.1145/3544548.3581322	Instructors facilitating online classes have a limited ability to see and hear interactions of student groups working in parallel, which prevents them from interacting with students effectively. In this work, we explore interface design for providing an overview of parallel group discussions in online classrooms. We de...	false	false	[ "Arissa J. Sato", "Zefan Sramek", "Koji Yatani" ]	[]	[]	[]
CHI	2,023	GVQA: Learning to Answer Questions about Graphs with Visualizations via Knowledge Base	10.1145/3544548.3581067	Graphs are common charts used to represent the topological relationship between nodes. It is a powerful tool for data analysis and information retrieval tasks involve asking questions about graphs. In formative study, we found that questions for graphs are not only about the relationship of nodes but also about the pro...	false	false	[ "Sicheng Song", "Juntong Chen", "Chenhui Li", "Changbo Wang" ]	[]	[]	[]
CHI	2,023	Here and Now: Creating Improvisational Dance Movements with a Mixed Reality Mirror	10.1145/3544548.3580666	This paper explores using mixed reality (MR) mirrors for supporting improvisational dance making. Motivated by the prevalence of mirrors in dance studios and inspired by Forsythe’s Improvisation Technologies, we conducted workshops with 13 dancers and choreographers to inform the design of future MR visualisation and a...	false	false	[ "Qiushi Zhou", "Louise Grebel", "Andrew Irlitti", "Julie Ann Minaai", "Jorge Gonçalves 0001", "Eduardo Velloso" ]	[]	[]	[]
CHI	2,023	How Can Deep Neural Networks Aid Visualization Perception Research? Three Studies on Correlation Judgments in Scatterplots	10.1145/3544548.3581111	How deep neural networks can aid visualization perception research is a wide-open question. This paper provides insights from three perspectives—prediction, generalization, and interpretation—via training and analyzing deep convolutional neural networks on human correlation judgments in scatterplots across three studie...	false	false	[ "Fumeng Yang", "Yuxin Ma", "Lane Harrison", "James Tompkin 0001", "David H. Laidlaw" ]	[]	[]	[]
CHI	2,023	How Data Analysts Use a Visualization Grammar in Practice	10.1145/3544548.3580837	Visualization grammars, often based on the Grammar of Graphics (GoG), have much potential for augmenting data analysis in a programming environment. However, we do not know how analysts conceptualize grammar abstractions, or how a visualization grammar works with data analysis in practice. Therefore, we qualitatively a...	false	false	[ "Xiaoying Pu", "Matthew Kay 0001" ]	[]	[]	[]
CHI	2,023	How Instructional Data Physicalisation Fosters Reflection in Personal Informatics	10.1145/3544548.3581198	The ever-increasing number of devices quantifying our lives offers a perspective of high awareness of one’s wellbeing, yet it remains a challenge for personal informatics (PI) to effectively support data-based reflection. Effective reflection is recognised as a key factor for PI technologies to foster wellbeing. Here, ...	false	false	[ "Marit Bentvelzen", "Julia Dominiak", "Jasmin Niess", "Frederique Henraat", "Pawel W. Wozniak" ]	[]	[]	[]
CHI	2,023	iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations	10.1145/3544548.3581266	We present iBall, a basketball video-watching system that leverages gaze-moderated embedded visualizations to facilitate game understanding and engagement of casual fans. Video broadcasting and online video platforms make watching basketball games increasingly accessible. Yet, for new or casual fans, watching basketbal...	false	false	[ "Zhutian Chen", "Qisen Yang", "Jiarui Shan", "Tica Lin", "Johanna Beyer", "Haijun Xia", "Hanspeter Pfister" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2303.03476v2", "icon": "paper" } ]
CHI	2,023	Interactive Context-Preserving Color Highlighting for Multiclass Scatterplots	10.1145/3544548.3580734	Color is one of the main visual channels used for highlighting elements of interest in visualization. However, in multi-class scatterplots, color highlighting often comes at the expense of degraded color discriminability. In this paper, we argue for context-preserving highlighting during the interactive exploration of ...	false	false	[ "Kecheng Lu", "Khairi Reda", "Oliver Deussen", "Yunhai Wang" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2302.05368v1", "icon": "paper" } ]
CHI	2,023	Misleading Beyond Visual Tricks: How People Actually Lie with Charts	10.1145/3544548.3580910	Data visualizations can empower an audience to make informed decisions. At the same time, deceptive representations of data can lead to inaccurate interpretations while still providing an illusion of data-driven insights. Existing research on misleading visualizations primarily focuses on examples of charts and techniq...	false	false	[ "Maxim Lisnic", "Cole Polychronis", "Alexander Lex", "Marina Kogan" ]	[]	[]	[]
CHI	2,023	NetworkNarratives: Data Tours for Visual Network Exploration and Analysis	10.1145/3544548.3581452	This paper introduces semi-automatic data tours to aid the exploration of complex networks. Exploring networks requires significant effort and expertise and can be time-consuming and challenging. Distinct from guidance and recommender systems for visual analytics, we provide a set of goal-oriented tours for network ove...	false	false	[ "Wenchao Li 0005", "Sarah Schöttler", "James Scott-Brown", "Yun Wang 0012", "Siming Chen 0001", "Huamin Qu", "Benjamin Bach" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2303.06456v1", "icon": "paper" } ]
CHI	2,023	NFTDisk: Visual Detection of Wash Trading in NFT Markets	10.1145/3544548.3581466	With the growing popularity of Non-Fungible Tokens (NFT), a new type of digital assets, various fraudulent activities have appeared in NFT markets. Among them, wash trading has become one of the most common frauds in NFT markets, which attempts to mislead investors by creating fake trading volumes. Due to the sophistic...	false	false	[ "Xiaolin Wen", "Yong Wang 0021", "Xuanwu Yue", "Feida Zhu 0001", "Min Zhu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2302.05863v1", "icon": "paper" } ]
CHI	2,023	Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks	10.1145/3544548.3580965	Computational notebooks are widely used for data analysis. Their interleaved displays of code and execution results (e.g., visualizations) are welcomed since they enable iterative analysis and preserve the exploration process. However, the communication of data findings remains challenging in computational notebooks. U...	false	false	[ "Haotian Li 0001", "Lu Ying", "Haidong Zhang", "Yingcai Wu", "Huamin Qu", "Yun Wang 0012" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2303.04059v1", "icon": "paper" } ]
CHI	2,023	On the Design of AI-powered Code Assistants for Notebooks	10.1145/3544548.3580940	AI-powered code assistants, such as Copilot, are quickly becoming a ubiquitous component of contemporary coding contexts. Among these environments, computational notebooks, such as Jupyter, are of particular interest as they provide rich interface affordances that interleave code and output in a manner that allows for ...	false	false	[ "Andrew M. McNutt", "Chenglong Wang", "Robert A. DeLine", "Steven Mark Drucker" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2301.11178v1", "icon": "paper" } ]
CHI	2,023	Passenger Perceptions, Information Preferences, and Usability of Crowding Visualizations on Public Displays in Transit Stations and Vehicles	10.1145/3544548.3581241	Large crowds in public transit stations and vehicles introduce obstacles for wayfinding, hygiene, and physical distancing. Public displays that currently provide on-site transit information could also provide critical crowdedness information. Therefore, we examined people’s crowd perceptions and information preferences...	false	false	[ "Leah Zhang-Kennedy", "Saira Aziz", "Oluwafunminitemi (Temi) Oluwadare", "Lyndon Pan", "Zeyu Wu", "Sydney E. C. Lamorea", "Soda Li", "Michael Sun", "Ville Mäkelä" ]	[]	[]	[]
CHI	2,023	Pearl: Physical Environment based Augmented Reality Lenses for In-Situ Human Movement Analysis	10.1145/3544548.3580715	This paper presents Pearl, a mixed-reality approach for the analysis of human movement data in situ. As the physical environment shapes human motion and behavior, the analysis of such motion can benefit from the direct inclusion of the environment in the analytical process. We present methods for exploring movement dat...	false	false	[ "Weizhou Luo", "Zhongyuan Yu", "Rufat Rzayev", "Marc Satkowski", "Stefan Gumhold", "Matthew McGinity", "Raimund Dachselt" ]	[]	[]	[]
CHI	2,023	Perceptual Pat: A Virtual Human Visual System for Iterative Visualization Design	10.1145/3544548.3580974	Designing a visualization is often a process of iterative refinement where the designer improves a chart over time by adding features, improving encodings, and fixing mistakes. However, effective design requires external critique and evaluation. Unfortunately, such critique is not always available on short notice and e...	false	false	[ "Sungbok Shin", "Sanghyun Hong 0001", "Niklas Elmqvist" ]	[]	[]	[]
CHI	2,023	Polagons: Designing and Fabricating Polarized Light Mosaics with User-Defined Color-Changing Behaviors	10.1145/3544548.3580639	Polarized light mosaics (PLMs) are color-changing structures that alter their appearance based on the orientation of incident polarized light. While a few artists have developed techniques for crafting PLMs by hand, the underlying material properties are difficult to reason about; there exist no tools to bridge the hig...	false	false	[ "Ticha Sethapakdi", "Laura Huang", "Vivian Hsinyueh Chan", "Lung-Pan Cheng", "Fernando Fuzinatto Dall'Agnol", "Mackenzie Leake", "Stefanie Mueller 0001" ]	[]	[]	[]
CHI	2,023	ProxSituated Visualization: An Extended Model of Situated Visualization using Proxies for Physical Referents	10.1145/3544548.3580952	Existing situated visualization models assume the user is able to directly interact with the objects and spaces to which the data refers (known as physical referents). We review a growing body of work exploring scenarios where the user interacts with a proxy representation of the physical referent rather than immediate...	false	false	[ "Kadek Ananta Satriadi", "Andrew Cunningham", "Ross T. Smith", "Tim Dwyer", "Adam Drogemuller", "Bruce H. Thomas" ]	[]	[]	[]
CHI	2,023	Rapsai: Accelerating Machine Learning Prototyping of Multimedia Applications through Visual Programming	10.1145/3544548.3581338	In recent years, there has been a proliferation of multimedia applications that leverage machine learning (ML) for interactive experiences. Prototyping ML-based applications is, however, still challenging, given complex workflows that are not ideal for design and experimentation. To better understand these challenges, ...	false	false	[ "Ruofei Du", "Na Li", "Jing Jin", "Michelle Carney", "Scott Miles", "Maria Kleiner", "Xiuxiu Yuan", "Yinda Zhang 0001", "Anuva Kulkarni", "Xingyu Liu", "Ahmed Sabie", "Sergio Orts-Escolano", "Abhishek Kar", "Ping Yu", "Ram Iyengar", "Adarsh Kowdle", "Alex Olwal" ]	[ "HM" ]	[]	[]
CHI	2,023	Showing Flow: Comparing Usability of Chord and Sankey Diagrams	10.1145/3544548.3581119	Chord and Sankey diagrams are two common techniques for visualizing flows. Chord diagrams use a radial layout with a single circular axis, and Sankey diagrams use a left-to-right layout with two vertical axes. Previous work suggests both strengths and weaknesses of the radial approach, but little is known about the usa...	false	false	[ "Carl Gutwin", "Aristides Mairena", "Venkat Bandi" ]	[]	[]	[]
CHI	2,023	Soliloquy: Fostering Poetry Comprehension Using an Interactive Think-aloud Visualization	10.1145/3544548.3581374	Complex texts like poetry are distinct from informative texts, requiring additional subprocesses to decode and interpret. Approaching a poem without knowledge of these cognitive strategies can result in confusion and frustration—rather than comprehension. In this work, we explore how interfaces can surface and demonstr...	false	false	[ "Zak Risha", "Deniz Sonmez Unal", "Erin Walker" ]	[]	[]	[]
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" } ]

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