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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	2,024	A Human Information Processing Theory of the Interpretation of Visualizations: Demonstrating Its Utility	10.1145/3613904.3642276	Providing an approach to model the memory structures that humans build as they use visualizations could be useful for researchers, designers and educators in the field of information visualization. Cheng and colleagues formulated Representation Interpretive Structure Theory (RIST) for that purpose. RIST adopts a human ...	false	false	[ "Peter C.-H. Cheng", "Grecia Garcia Garcia", "Daniel Raggi", "Mateja Jamnik" ]	[]	[]	[]
CHI	2,024	An Eye Gaze Heatmap Analysis of Uncertainty Head-Up Display Designs for Conditional Automated Driving	10.1145/3613904.3642219	This paper reports results from a high-fidelity driving simulator study (N=215) about a head-up display (HUD) that conveys a conditional automated vehicle's dynamic "uncertainty" about the current situation while fallback drivers watch entertaining videos. We compared (between-group) three design interventions: display...	false	false	[ "Michael A. Gerber", "Ronald Schroeter", "Daniel Johnson 0001", "Christian P. Janssen", "Andry Rakotonirainy", "Jonny Kuo", "Mike Lenné" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2402.17751v1", "icon": "paper" } ]
CHI	2,024	Better Little People Pictures: Generative Creation of Demographically Diverse Anthropographics	10.1145/3613904.3641957	We explore the potential of generative AI text-to-image models to help designers efficiently craft unique, representative, and demographically diverse anthropographics that visualize data about people. Currently, creating data-driven iconic images to represent individuals in a dataset often requires considerable design...	false	false	[ "Priya Dhawka", "Lauren Perera", "Wesley Willett" ]	[]	[]	[]
CHI	2,024	CharacterMeet: Supporting Creative Writers' Entire Story Character Construction Processes Through Conversation with LLM-Powered Chatbot Avatars	10.1145/3613904.3642105	Support for story character construction is as essential as characters are for stories. Building upon past research on early character construction stages, we explore how conversation with chatbot avatars embodying characters powered by more recent technologies could support the entire character construction process fo...	false	false	[ "Hua Xuan Qin", "Shan Jin", "Ze Gao", "Mingming Fan 0001", "Pan Hui 0001" ]	[]	[]	[]
CHI	2,024	Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning	10.1145/3613904.3642903	Quality colormaps can help communicate important data patterns. However, finding an aesthetically pleasing colormap that looks "just right" for a given scenario requires significant design and technical expertise. We introduce Cieran, a tool that allows any data analyst to rapidly find quality colormaps while designing...	false	false	[ "Matt-Heun Hong", "Zachary Nolan Sunberg", "Danielle Albers Szafir" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2402.15997v2", "icon": "paper" } ]
CHI	2,024	Co-designing Customizable Clinical Dashboards with Multidisciplinary Teams: Bridging the Gap in Chronic Disease Care	10.1145/3613904.3642618	Providing care to individuals with chronic diseases benefits from a multidisciplinary approach and longitudinal symptom, event, and disease monitoring, in and out of clinical facilities. Technological advancements, including the ubiquitous presence of sensors and devices, present opportunities to collect large amounts ...	false	false	[ "Diogo Branco", "Margarida Móteiro", "Raquel Bouça-Machado", "Rita Miranda", "Tiago Reis", "Élia Decoroso", "Rita Cardoso", "Joana Ramalho", "Filipa Rato", "Joana Malheiro", "Diana Miranda", "Verónica Caniça", "Filipa Pona-Ferreira", "Daniela Guerreiro", "Mariana Leitão", "Alexandra Sa...	[]	[]	[]
CHI	2,024	CollageVis: Rapid Previsualization Tool for Indie Filmmaking using Video Collages	10.1145/3613904.3642575	Previsualization, previs, is essential for film production, allowing cinematographic experiments and effective collaboration. However, traditional previs methods like 2D storyboarding and 3D animation require substantial time, cost, and technical expertise, posing challenges for indie filmmakers. We introduce CollageVi...	false	false	[ "Hye-Young Jo", "Ryo Suzuki 0001", "Yoonji Kim" ]	[]	[]	[]
CHI	2,024	Comparison of Spatial Visualization Techniques for Radiation in Augmented Reality	10.1145/3613904.3642646	Augmented Reality (AR) provides a safe and low-cost option for hazardous safety training that allows for the visualization of aspects that may be invisible, such as radiation. Effectively visually communicating such threats in the environment around the user is not straightforward. This work describes visually encoding...	false	false	[ "Fintan McGee", "Roderick McCall", "Joan Baixauli" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2403.05403v1", "icon": "paper" } ]
CHI	2,024	Damage Optimization in Video Games: A Player-Driven Co-Creative Approach	10.1145/3613904.3642643	The concept of dealing damage is established and widespread in video games. With growing complexity and countless interactions in modern games, capturing how damage unfolds becomes an intricate problem - for developers just as for players. Misunderstanding how to optimize damage potentials includes risks of game imbala...	false	false	[ "Johannes Pfau", "Manik Charan", "Erica Kleinman", "Magy Seif El-Nasr" ]	[]	[]	[]
CHI	2,024	Data Cubes in Hand: A Design Space of Tangible Cubes for Visualizing 3D Spatio-Temporal Data in Mixed Reality	10.1145/3613904.3642740	Tangible interfaces in mixed reality (MR) environments allow for intuitive data interactions. Tangible cubes, with their rich interaction affordances, high maneuverability, and stable structure, are particularly well-suited for exploring multi-dimensional data types. However, the design potential of these cubes is unde...	false	false	[ "Shuqi He", "Haonan Yao", "Luyan Jiang", "Kaiwen Li", "Nan Xiang", "Yue Li 0023", "Hai-Ning Liang", "Lingyun Yu 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2403.06891v1", "icon": "paper" } ]
CHI	2,024	Data Probes as Boundary Objects for Technology Policy Design: Demystifying Technology for Policymakers and Aligning Stakeholder Objectives in Rideshare Gig Work	10.1145/3613904.3642000	Despite the evidence of harm that technology can inflict, commensurate policymaking to hold tech platforms accountable still lags. This is pertinent to app-based gig workers, where unregulated algorithms continue to dictate their work, often with little human recourse. While past HCI literature has investigated workers...	false	false	[ "Angie Zhang", "Rocita Rana", "Alexander Boltz", "Veena Dubal", "Min Kyung Lee" ]	[]	[]	[]
CHI	2,024	Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension?	10.1145/3613904.3643022	Data storytelling (DS) is rapidly gaining attention as an approach that integrates data, visuals, and narratives to create data stories that can help a particular audience to comprehend the key messages underscored by the data with enhanced efficiency and effectiveness. It is been posited that DS can be especially adva...	false	false	[ "Hongbo Shao", "Roberto Martínez-Maldonado", "Vanessa Echeverría", "Lixiang Yan", "Dragan Gasevic" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2402.12634v2", "icon": "paper" } ]
CHI	2,024	DeepSee: Multidimensional Visualizations of Seabed Ecosystems	10.1145/3613904.3642001	Scientists studying deep ocean microbial ecosystems use limited numbers of sediment samples collected from the seafloor to characterize important life-sustaining biogeochemical cycles in the environment. Yet conducting fieldwork to sample these extreme remote environments is both expensive and time consuming, requiring...	false	false	[ "Adam Coscia", "Haley M. Sapers", "Noah Deutsch", "Malika Khurana", "John S. Magyar", "Sergio A. Parra", "Daniel R. Utter", "Rebecca L. Wipfler", "David W. Caress", "Eric J. Martin", "Jennifer B. Paduan", "Maggie Hendrie", "Santiago V. Lombeyda", "Hillary Mushkin", "Alex Endert", "Scot...	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2403.04761v1", "icon": "paper" } ]
CHI	2,024	Discovering Accessible Data Visualizations for People with ADHD	10.1145/3613904.3642112	There have been many studies on understanding data visualizations regarding general users. However, we have a limited understanding of how people with ADHD comprehend data visualizations and how it might be different from the general users. To understand accessible data visualization for people with ADHD, we conducted ...	false	false	[ "Tien Tran", "Hae Na Lee", "Ji Hwan Park" ]	[ "HM" ]	[]	[]
CHI	2,024	Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension	10.1145/3613904.3642813	Designers often create visualizations to achieve specific high-level analytical or communication goals. These goals require people to naturally extract complex, contextualized, and interconnected patterns in data. While limited prior work has studied general high-level interpretation, prevailing perceptual studies of v...	false	false	[ "Ghulam Jilani Quadri", "Arran Zeyu Wang", "Zhehao Wang", "Jennifer Adorno Nieves", "Paul Rosen 0001", "Danielle Albers Szafir" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2402.15605v1", "icon": "paper" } ]
CHI	2,024	DoodleTunes: Interactive Visual Analysis of Music-Inspired Children Doodles with Automated Feature Annotation	10.1145/3613904.3642346	Music and visual arts are essential in children's arts education, and their integration has garnered significant attention. Existing data analysis methods for exploring audio-visual correlations are limited. Yet, relevant research is necessary for innovating and promoting arts integration courses. In our work, we colle...	false	false	[ "Shuqi Liu", "Jia Bu", "Huayuan Ye", "Juntong Chen", "Shiqi Jiang", "Mingtian Tao", "Liping Guo", "Changbo Wang", "Chenhui Li" ]	[]	[]	[]
CHI	2,024	Doorways Do Not Always Cause Forgetting: Studying the Effect of Locomotion Technique and Doorway Visualization in Virtual Reality	10.1145/3613904.3642879	The "doorway effect" predicts that crossing an environmental boundary affects memory negatively. In virtual reality (VR), we can design the crossing and the appearance of such boundaries in non-realistic ways. However, it is unclear whether locomotion techniques like teleportation, which avoid crossing the boundary alt...	false	false	[ "Thomas Van Gemert", "Sean Chew", "Yiannis Kalaitzoglou", "Joanna Bergström" ]	[]	[]	[]
CHI	2,024	DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing	10.1145/3613904.3642639	Users often rely on GUIs to edit and interact with visualizations — a daunting task due to the large space of editing options. As a result, users are either overwhelmed by a complex UI or constrained by a custom UI with a tailored, fixed subset of options with limited editing flexibility. Natural Language Interfaces (N...	false	false	[ "Priyan Vaithilingam", "Elena L. Glassman", "Jeevana Priya Inala", "Chenglong Wang" ]	[ "BP" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2401.10880v1", "icon": "paper" } ]
CHI	2,024	Effects of Point Size and Opacity Adjustments in Scatterplots	10.1145/3613904.3642127	Systematically changing the size and opacity of points on scatterplots can be used to induce more accurate perceptions of correlation by viewers. Evidence points to the mechanisms behind these effects being similar, so one may expect their combination to be additive regarding their effects on correlation estimation. We...	false	false	[ "Gabriel Strain", "Andrew J. Stewart", "Paul A. Warren", "Caroline Jay" ]	[]	[]	[]
CHI	2,024	Epigraphics: Message-Driven Infographics Authoring	10.1145/3613904.3642172	The message a designer wants to convey plays a pivotal role in directing the design of an infographic, yet most authoring workflows start with creating the visualizations or graphics first without gauging whether they fit the message. To address this gap, we propose Epigraphics, a web-based authoring system that treats...	false	false	[ "Tongyu Zhou", "Jeff Huang 0002", "Gromit Yeuk-Yin Chan" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2404.10152v1", "icon": "paper" } ]
CHI	2,024	Evaluating Navigation and Comparison Performance of Computational Notebooks on Desktop and in Virtual Reality	10.1145/3613904.3642932	The computational notebook serves as a versatile tool for data analysis. However, its conventional user interface falls short of keeping pace with the ever-growing data-related tasks, signaling the need for novel approaches. With the rapid development of interaction techniques and computing environments, there is a gro...	false	false	[ "Sungwon In", "Eric Krokos", "Kirsten Whitley", "Chris North 0001", "Yalong Yang 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2404.07161v1", "icon": "paper" } ]
CHI	2,024	Exploring Visualizations for Precisely Guiding Bare Hand Gestures in Virtual Reality	10.1145/3613904.3642935	Bare hand interaction in augmented or virtual reality (AR/VR) systems, while intuitive, often results in errors and frustration. However, existing methods, such as a static icon or a dynamic tutorial, can only inform simple and coarse hand gestures and lack corrective feedback. This paper explores various visualization...	false	false	[ "Xizi Wang", "Ben Lafreniere", "Jian Zhao 0010" ]	[]	[]	[]
CHI	2,024	Fast-Forward Reality: Authoring Error-Free Context-Aware Policies with Real-Time Unit Tests in Extended Reality	10.1145/3613904.3642158	Advances in ubiquitous computing have enabled end-user authoring of context-aware policies (CAPs) that control smart devices based on specific contexts of the user and environment. However, authoring CAPs accurately and avoiding run-time errors is challenging for end-users as it is difficult to foresee CAP behaviors un...	false	false	[ "Xun Qian", "Tianyi Wang 0004", "Xuhai Xu", "Tanya R. Jonker", "Kashyap Todi" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2403.07997v1", "icon": "paper" } ]
CHI	2,024	From Exploration to End of Life: Unpacking Sustainability in Physicalization Practices	10.1145/3613904.3642248	Data physicalizations have gained prominence across domains, but their environmental impact has been largely overlooked. This work addresses this gap by investigating the interplay between sustainability and physicalization practices. We conducted interviews with experts from diverse backgrounds, followed by a survey t...	false	false	[ "Luiz Morais", "Georgia Panagiotidou", "Sarah Hayes", "Tatiana Losev", "Rebecca Noonan", "Uta Hinrichs" ]	[ "BP" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2402.09860v1", "icon": "paper" } ]
CHI	2,024	Functional Design Requirements to Facilitate Menstrual Health Data Exploration	10.1145/3613904.3642282	Menstrual trackers currently lack the affordances required to help individuals achieve their goals beyond menstrual event predictions and symptom logging. Taking an initial step towards this aspiration, we propose, validate, and refine five functional design requirements for future interface designs that facilitate men...	false	false	[ "Georgianna Lin", "Pierre-William Lessard", "Minh Ngoc Le", "Brenna Li", "Fanny Chevalier", "Khai N. Truong", "Alex Mariakakis" ]	[]	[]	[]
CHI	2,024	Glanceable Data Visualizations for Older Adults: Establishing Thresholds and Examining Disparities Between Age Groups	10.1145/3613904.3642776	We present results of a replication study on smartwatch visualizations with adults aged 65 and older. The older adult population is rising globally, coinciding with their increasing interest in using small wearable devices, such as smartwatches, to track and view data. Smartwatches, however, pose challenges to this pop...	false	false	[ "Zack While", "Tanja Blascheck", "Yujie Gong", "Petra Isenberg", "Ali Sarvghad" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2403.12343v1", "icon": "paper" } ]
CHI	2,024	Go-Go Biome: Evaluation of a Casual Game for Gut Health Engagement and Reflection	10.1145/3613904.3642742	Experts emphasise that maintaining a healthy gut microbial balance requires the public to understand factors beyond diet, such as physical activity, lifestyle, and other real-world influences. Games as experiential systems are known to foster playful engagement and reflection. We propose a novel approach to promoting a...	false	false	[ "Nandini Pasumarthy", "Shreyas Nisal", "Jessica Danaher", "Elise van den Hoven", "Rohit Ashok Khot" ]	[]	[]	[]
CHI	2,024	How Do Analysts Understand and Verify AI-Assisted Data Analyses?	10.1145/3613904.3642497	Data analysis is challenging as it requires synthesizing domain knowledge, statistical expertise, and programming skills. Assistants powered by large language models (LLMs), such as ChatGPT, can assist analysts by translating natural language instructions into code. However, AI-assistant responses and analysis code can...	false	false	[ "Ken Gu", "Ruoxi Shang", "Tim Althoff", "Chenglong Wang", "Steven Mark Drucker" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2309.10947v2", "icon": "paper" } ]
CHI	2,024	How Do Low-Vision Individuals Experience Information Visualization?	10.1145/3613904.3642188	In recent years, there has been a growing interest in enhancing the accessibility of visualizations for people with visual impairments. While much of the research has focused on improving accessibility for screen reader users, the specific needs of people with remaining vision (i.e., low-vision individuals) have been l...	false	false	[ "Yanan Wang", "Yuhang Zhao 0001", "Yea-Seul Kim" ]	[]	[]	[]
CHI	2,024	Input Visualization: Collecting and Modifying Data with Visual Representations	10.1145/3613904.3642808	We examine input visualizations, visual representations that are designed to collect (and represent) new data rather than encode preexisting datasets. Information visualization is commonly used to reveal insights and stories within existing data. As a result, most contemporary visualization approaches assume existing d...	false	false	[ "Nathalie Bressa", "Jordan Louis", "Wesley Willett", "Samuel Huron" ]	[]	[ "PW", "P", "V" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/bw3gp/files/c9j8s", "icon": "paper" }, { "name": "Video", "url": "https://www.youtube.com/watch?v=RAfv2quE6nA", "icon": "video" }, { "name": "Project Website", "url": "https://inputvisualization.github.io/", "icon": "proj...
CHI	2,024	KnitScape: Computational Design and Yarn-Level Simulation of Slip and Tuck Colorwork Knitting Patterns	10.1145/3613904.3642799	Slipped and tucked stitches introduce small areas of deformation that compound and result in emergent textures on knitted fabrics. When used together with color changes and ladders, these can also produce dramatic colorwork and openwork effects. However, designing slip and tuck colorwork patterns is challenging due to ...	false	false	[ "Hannah Twigg-Smith", "Emily Whiting", "Nadya Peek" ]	[]	[]	[]
CHI	2,024	Looking Together ≠ Seeing the Same Thing: Understanding Surgeons' Visual Needs During Intra-operative Coordination and Instruction	10.1145/3613904.3641929	Shared gaze visualizations have been found to enhance collaboration and communication outcomes in diverse HCI scenarios including computer supported collaborative work and learning contexts. Given the importance of gaze in surgery operations, especially when a surgeon trainer and trainee need to coordinate their action...	false	false	[ "Vitaliy Popov", "Xinyue Chen", "Jingying Wang", "Michael Kemp", "Gurjit Sandhu", "Taylor Kantor", "Natalie Mateju", "Xu Wang 0016" ]	[ "HM" ]	[]	[]
CHI	2,024	MAIDR: Making Statistical Visualizations Accessible with Multimodal Data Representation	10.1145/3613904.3642730	This paper investigates new data exploration experiences that enable blind users to interact with statistical data visualizations—bar plots, heat maps, box plots, and scatter plots—leveraging multimodal data representations. In addition to sonification and textual descriptions that are commonly employed by existing acc...	false	false	[ "Jooyoung Seo", "Yilin Xia", "Bongshin Lee", "Sean McCurry", "Yu Jun Yam" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2403.00717v1", "icon": "paper" } ]
CHI	2,024	Make Interaction Situated: Designing User Acceptable Interaction for Situated Visualization in Public Environments	10.1145/3613904.3642049	Situated visualization blends data into the real world to fulfill individuals' contextual information needs. However, interacting with situated visualization in public environments faces challenges posed by users' acceptance and contextual constraints. To explore appropriate interaction design, we first conduct a forma...	false	false	[ "Qian Zhu 0010", "Zhuo Wang", "Wei Zeng 0004", "Wai Tong", "Weiyue Lin", "Xiaojuan Ma" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2402.14251v2", "icon": "paper" } ]
CHI	2,024	Milliways: Taming Multiverses through Principled Evaluation of Data Analysis Paths	10.1145/3613904.3642375	Multiverse analyses involve conducting all combinations of reasonable choices in a data analysis process. A reader of a study containing a multiverse analysis might question—are all the choices included in the multiverse reasonable and equally justifiable? How much do results vary if we make different choices in the an...	false	false	[ "Abhraneel Sarma", "Kyle Hwang", "Jessica Hullman", "Matthew Kay 0001" ]	[]	[]	[]
CHI	2,024	Momentary Stressor Logging and Reflective Visualizations: Implications for Stress Management with Wearables	10.1145/3613904.3642662	Commercial wearables from Fitbit, Garmin, and Whoop have recently introduced real-time notifications based on detecting changes in physiological responses indicating potential stress. In this paper, we investigate how these new capabilities can be leveraged to improve stress management. We developed a smartwatch app, a...	false	false	[ "Sameer Neupane", "Mithun Saha", "Nasir Ali", "Timothy Hnat", "Shahin Alan Samiei", "Anandatirtha Nandugudi", "David M. Almeida", "Santosh Kumar 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2401.16307v1", "icon": "paper" } ]
CHI	2,024	Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models	10.1145/3613904.3642943	We introduce VL2NL, a Large Language Model (LLM) framework that generates rich and diverse NL datasets using Vega-Lite specifications as input, thereby streamlining the development of Natural Language Interfaces (NLIs) for data visualization. To synthesize relevant chart semantics accurately and enhance syntactic diver...	false	false	[ "Hyung-Kwon Ko", "Hyeon Jeon", "Gwanmo Park", "Dae Hyun Kim 0005", "Nam Wook Kim", "Juho Kim", "Jinwook Seo" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2309.10245v4", "icon": "paper" } ]
CHI	2,024	Odds and Insights: Decision Quality in Exploratory Data Analysis Under Uncertainty	10.1145/3613904.3641995	Recent studies have shown that users of visual analytics tools can have difficulty distinguishing robust findings in the data from statistical noise, but the true extent of this problem is likely dependent on both the incentive structure motivating their decisions, and the ways that uncertainty and variability are (or ...	false	false	[ "Abhraneel Sarma", "Xiaoying Pu", "Yuan Cui", "Michael Correll", "Eli T. Brown", "Matthew Kay 0001" ]	[ "HM" ]	[]	[]
CHI	2,024	On the Benefits of Image-Schematic Metaphors when Designing Mixed Reality Systems	10.1145/3613904.3642925	A Mixed Reality (MR) system encompasses various aspects, such as visualization and spatial registration of user interface elements, user interactions and interaction feedback. Image-schematic metaphors (ISMs) are universal knowledge structures shared by a wide range of users. They hold a theoretical promise of facilita...	false	false	[ "Jingyi Li", "Per Ola Kristensson" ]	[]	[]	[]
CHI	2,024	PD-Insighter: A Visual Analytics System to Monitor Daily Actions for Parkinson's Disease Treatment	10.1145/3613904.3642215	People with Parkinson's Disease (PD) can slow the progression of their symptoms with physical therapy. However, clinicians lack insight into patients' motor function during daily life, preventing them from tailoring treatment protocols to patient needs. This paper introduces PD-Insighter, a system for comprehensive ana...	false	false	[ "Jade Kandel", "Chelsea Duppen", "Qian Zhang 0066", "Howard Jiang", "Angelos Angelopoulos", "Ashley Paula-Ann Neall", "Pranav Wagh", "Daniel Szafir", "Henry Fuchs", "Michael Lewek", "Danielle Albers Szafir" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2404.10661v1", "icon": "paper" } ]
CHI	2,024	PhotoScout: Synthesis-Powered Multi-Modal Image Search	10.1145/3613904.3642319	Due to the availability of increasingly large amounts of visual data, there is a growing need for tools that can help users find relevant images. While existing tools can perform image retrieval based on similarity or metadata, they fall short in scenarios that necessitate semantic reasoning about the content of the im...	false	false	[ "Celeste Barnaby", "Qiaochu Chen", "Chenglong Wang", "Isil Dillig" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2401.10464v1", "icon": "paper" } ]
CHI	2,024	PriviAware: Exploring Data Visualization and Dynamic Privacy Control Support for Data Collection in Mobile Sensing Research	10.1145/3613904.3642815	With increased interest in leveraging personal data collected from 24/7 mobile sensing for digital healthcare research, supporting user-friendly consent to data collection for user privacy has also become important. This work proposes PriviAware, a mobile app that promotes flexible user consent to data collection with ...	false	false	[ "Hyunsoo Lee", "Yugyeong Jung", "Hei Yiu Law", "Seolyeong Bae", "Uichin Lee" ]	[]	[]	[]
CHI	2,024	ProInterAR: A Visual Programming Platform for Creating Immersive AR Interactions	10.1145/3613904.3642527	AR applications commonly contain diverse interactions among different AR contents. Creating such applications requires creators to have advanced programming skills for scripting interactive behaviors of AR contents, repeated transferring and adjustment of virtual contents from virtual to physical scenes, testing by tra...	false	false	[ "Hui Ye", "Jiaye Leng", "Pengfei Xu 0002", "Karan Singh", "Hongbo Fu 0001" ]	[]	[]	[]
CHI	2,024	Promoting Eco-Friendly Behaviour through Virtual Reality - Implementation and Evaluation of Immersive Feedback Conditions of a Virtual CO2 Calculator	10.1145/3613904.3642957	Climate change is one of the most pressing global challenges in the 21st century. Urgent actions favoring the environment's well-being are essential to mitigate its potentially irreversible consequences. However, the delayed and often distant nature of the effects of sustainable behavior makes it challenging for indivi...	false	false	[ "Carolin Wienrich", "Stephanie Vogt", "Nina Döllinger", "David Obremski" ]	[]	[]	[]
CHI	2,024	PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement	10.1145/3613904.3642803	The recent advancements in Generative AI have significantly advanced the field of text-to-image generation. The state-of-the-art text-to-image model, Stable Diffusion, is now capable of synthesizing high-quality images with a strong sense of aesthetics. Crafting text prompts that align with the model's interpretation a...	false	false	[ "Zhijie Wang", "Yuheng Huang", "Da Song", "Lei Ma 0003", "Tianyi Zhang 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2403.04014v1", "icon": "paper" } ]
CHI	2,024	RASSAR: Room Accessibility and Safety Scanning in Augmented Reality	10.1145/3613904.3642140	The safety and accessibility of our homes is critical to quality of life and evolves as we age, become ill, host guests, or experience life events such as having children. Researchers and health professionals have created assessment instruments such as checklists that enable homeowners and trained experts to identify a...	false	false	[ "Xia Su", "Han Zhang", "Kaiming Cheng", "Jaewook Lee 0005", "Qiaochu Liu", "Wyatt Olson", "Jon E. Froehlich" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2404.07479v1", "icon": "paper" } ]
CHI	2,024	Reading Between the Pixels: Investigating the Barriers to Visualization Literacy	10.1145/3613904.3642760	In our current visual-centric digital age, the capability to interpret, understand, and produce visual representations of data —termed visualization literacy— is paramount. However, not everyone is adept at navigating this visual terrain. This paper explores the barriers that individuals who misread a visualization enc...	false	false	[ "Carolina Nobre", "Kehang Zhu", "Eric Mörth", "Hanspeter Pfister", "Johanna Beyer" ]	[]	[]	[]
CHI	2,024	Robot-Assisted Decision-Making: Unveiling the Role of Uncertainty Visualisation and Embodiment	10.1145/3613904.3642911	Robots are embodied agents that act under several sources of uncertainty. When assisting humans in a collaborative task, robots need to communicate their uncertainty to help inform decisions. In this study, we examine the use of visualising a robot's uncertainty in a high-stakes assisted decision-making task. In partic...	false	false	[ "Sarah Schömbs", "Saumya Pareek", "Jorge Goncalves", "Wafa Johal" ]	[]	[]	[]
CHI	2,024	SalChartQA: Question-driven Saliency on Information Visualisations	10.1145/3613904.3642942	Understanding the link between visual attention and users' information needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets to facilitate these analyses. To fill this gap we introduce SalChartQA – a novel crowd-sourced dataset that uses the BubbleView in...	false	false	[ "Yao Wang", "Weitian Wang", "Abdullah Abdelhafez", "Mayar Elfares", "Zhiming Hu", "Mihai Bâce", "Andreas Bulling" ]	[]	[]	[]
CHI	2,024	SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization	10.1145/3613904.3642944	The voluminous nature of geospatial temporal data from physical monitors and simulation models poses challenges to efficient data access, often resulting in cumbersome temporal selection experiences in web-based data portals. Thus, selecting a subset of time steps for prioritized visualization and pre-loading is highly...	false	false	[ "Juntong Chen", "Haiwen Huang", "Huayuan Ye", "Zhong Peng", "Chenhui Li", "Changbo Wang" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2403.03449v1", "icon": "paper" } ]
CHI	2,024	SolarClub: Supporting Renewable Energy Communities through an Interactive Coordination System	10.1145/3613904.3642449	Energy communities are a key focus for governments around the world in support of more sustainable energy practices. However, interactive systems for supporting energy communities to coordinate around renewable energy resources are still lacking. We present SolarClub, a demand-shifting visualization system that support...	false	false	[ "Georgia Panagiotidou", "Enrico Costanza", "Kyrill Potapov", "Sonia Nkatha", "Michael J. Fell", "Farhan Samanani", "Hannah Knox" ]	[]	[]	[]
CHI	2,024	Taking ASCII Drawings Seriously: How Programmers Diagram Code	10.1145/3613904.3642683	Documentation in codebases facilitates knowledge transfer. But tools for programming are largely text-based, and so developers resort to creating ASCII diagrams—graphical artifacts approximated with text—to show visual ideas within their code. Despite real-world use, little is known about these diagrams. We interviewed...	false	false	[ "Devamardeep Hayatpur", "Brian Hempel", "Kathy Chen", "William Duan", "Philip J. Guo", "Haijun Xia" ]	[ "HM" ]	[]	[]
CHI	2,024	Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference	10.1145/3613904.3642628	On-device machine learning (ML) moves computation from the cloud to personal devices, protecting user privacy and enabling intelligent user experiences. However, fitting models on devices with limited resources presents a major technical challenge: practitioners need to optimize models and balance hardware metrics such...	false	false	[ "Fred Hohman", "Chaoqun Wang", "Jinmook Lee", "Jochen Görtler", "Dominik Moritz", "Jeffrey P. Bigham", "Zhile Ren", "Cecile Foret", "Qi Shan", "Xiaoyi Zhang 0006" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2404.03085v1", "icon": "paper" } ]
CHI	2,024	That's Rough! Encoding Data into Roughness for Physicalization	10.1145/3613904.3641900	While visual channels (e.g., color, shape, size) have been explored for visualizing data in data physicalizations, there is a lack of understanding regarding how to encode data into physical material properties (e.g., roughness, hardness). This understanding is critical for ensuring data is correctly communicated and f...	false	false	[ "Xiaojiao Du", "Kadek Ananta Satriadi", "Adam Drogemuller", "Brandon J. Matthews", "Ross Smith 0001", "James A. Walsh", "Andrew Cunningham" ]	[ "HM" ]	[]	[]
CHI	2,024	The HaLLMark Effect: Supporting Provenance and Transparent Use of Large Language Models in Writing with Interactive Visualization	10.1145/3613904.3641895	The use of Large Language Models (LLMs) for writing has sparked controversy both among readers and writers. On one hand, writers are concerned that LLMs will deprive them of agency and ownership, and readers are concerned about spending their time on text generated by soulless machines. On the other hand, AI-assistance...	false	false	[ "Md. Naimul Hoque", "Tasfia Mashiat", "Bhavya Ghai", "Cecilia D. Shelton", "Fanny Chevalier", "Kari Kraus", "Niklas Elmqvist" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2311.13057v4", "icon": "paper" } ]
CHI	2,024	To Cut or Not To Cut? A Systematic Exploration of Y-Axis Truncation	10.1145/3613904.3642102	Y-axis truncation is a well-known, much-debated visualization practice. Our work complements existing empirical work by providing a systematic analysis of y-axis truncation on grouped bar charts. Drawing upon theoretical frameworks such as Algebraic Visualization Design, we examine how structure-preserving modification...	false	false	[ "Sheng Long", "Matthew Kay 0003" ]	[]	[]	[]
CHI	2,024	Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation	10.1145/3613904.3642132	Maps are crucial in conveying geospatial data in diverse contexts such as news and scientific reports. This research, utilizing thematic maps, probes deeper into the underexplored intersection of text framing and map types in influencing map interpretation. In this work, we conducted experiments to evaluate how textual...	false	false	[ "Arlen Fan", "Fan Lei", "Michelle Mancenido", "Alan M. MacEachren", "Ross Maciejewski" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2403.08260v1", "icon": "paper" } ]
CHI	2,024	V-FRAMER: Visualization Framework for Mitigating Reasoning Errors in Public Policy	10.1145/3613904.3642750	Existing data visualization design guidelines focus primarily on constructing grammatically-correct visualizations that faithfully convey the values and relationships in the underlying data. However, a designer may create a grammatically-correct visualization that still leaves audiences susceptible to reasoning mislead...	false	false	[ "Lily W. Ge", "Matthew W. Easterday", "Matthew Kay 0001", "Evanthia Dimara", "Peter Cheng", "Steven L. Franconeri" ]	[]	[]	[]
CHI	2,024	VAID: Indexing View Designs in Visual Analytics System	10.1145/3613904.3642237	Visual analytics (VA) systems have been widely used in various application domains. However, VA systems are complex in design, which imposes a serious problem: although the academic community constantly designs and implements new designs, the designs are difficult to query, understand, and refer to by subsequent design...	false	false	[ "Lu Ying", "Aoyu Wu", "Haotian Li 0001", "Zikun Deng", "Ji Lan", "Jiang Wu", "Yong Wang 0021", "Huamin Qu", "Dazhen Deng", "Yingcai Wu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2211.02567v2", "icon": "paper" } ]
CHI	2,024	VisTorch: Interacting with Situated Visualizations using Handheld Projectors	10.1145/3613904.3642857	Spatial data is best analyzed in situ, but existing mixed reality technologies can be bulky, expensive, or unsuitable for collaboration. We present VisTorch: a handheld device for projected situated analytics consisting of a pico-projector, a multi-spectrum camera, and a touch surface. VisTorch enables viewing charts s...	false	false	[ "Biswaksen Patnaik", "Huaishu Peng", "Niklas Elmqvist" ]	[]	[]	[]
CHI	2,024	Visual Cues for Data Analysis Features Amplify Challenges for Blind Spreadsheet Users	10.1145/3613904.3642753	Spreadsheets are widely used for storing, manipulating, analyzing, and visualizing data. Features such as conditional formatting, formulas, sorting, and filtering play an important role when understanding and analyzing data in spreadsheets. They employ visual cues, but we have little understanding of the experiences of...	false	false	[ "Minoli Perera", "Bongshin Lee", "Eun Kyoung Choe", "Kim Marriott" ]	[]	[]	[]
CHI	2,024	WAVE: Anticipatory Movement Visualization for VR Dancing	10.1145/3613904.3642145	Dance games are one of the most popular game genres in Virtual Reality (VR), and active dance communities have emerged on social VR platforms such as VR Chat. However, effective instruction of dancing in VR or through other computerized means remains an unsolved human-computer interaction problem. Existing approaches e...	false	false	[ "Markus Laattala", "Roosa Piitulainen", "Nadia M. Ady", "Monica Tamariz", "Perttu Hämäläinen" ]	[]	[]	[]
CHI	2,024	When the Body Became Data: Historical Data Cultures and Anatomical Illustration	10.1145/3613904.3642056	With changing attitudes around knowledge, medicine, art, and technology, the human body has become a source of information and, ultimately, shareable and analyzable data. Centuries of illustrations and visualizations of the body occur within particular historical, social, and political contexts. These contexts are enme...	false	false	[ "Michael Correll", "Laura A. Garrison" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2402.05014v1", "icon": "paper" } ]
Vis	2,023	2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual Reality	10.1109/TVCG.2023.3327402	Relational information between different types of entities is often modelled by a multilayer network (MLN) – a network with subnetworks represented by layers. The layers of an MLN can be arranged in different ways in a visual representation, however, the impact of the arrangement on the readability of the network is an...	false	false	[ "Stefan P. Feyer", "Bruno Pinaud", "Stephen G. Kobourov", "Nicolas Brich", "Michael Krone", "Andreas Kerren", "Michael Behrisch 0001", "Falk Schreiber", "Karsten Klein 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.10674v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/76CcqIms1KM", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/0kP3NhrRoSk", "icon": "video" } ]
Vis	2,023	A Comparative Study of the Perceptual Sensitivity of Topological Visualizations to Feature Variations	10.1109/TVCG.2023.3326592	Color maps are a commonly used visualization technique in which data are mapped to optical properties, e.g., color or opacity. Color maps, however, do not explicitly convey structures (e.g., positions and scale of features) within data. Topology-based visualizations reveal and explicitly communicate structures underlyi...	false	false	[ "Tushar M. Athawale", "Bryan Triana", "Tanmay Kotha", "Dave Pugmire", "Paul Rosen 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.08795v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/4IHuBESGvJs", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/e3NtxX19Lwc", "icon": "video" } ]
Vis	2,023	A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-Objective Optimization	10.1109/TVCG.2023.3326921	Evolutionary multi-objective optimization (EMO) algorithms have been demonstrated to be effective in solving multi-criteria decision-making problems. In real-world applications, analysts often employ several algorithms concurrently and compare their solution sets to gain insight into the characteristics of different al...	false	false	[ "Yansong Huang", "Zherui Zhang", "Ao Jiao", "Yuxin Ma", "Ran Cheng" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.05640v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/CuJOVQaVWrA", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/D5EyyPiax-A", "icon": "video" } ]
Vis	2,023	A Computational Design Pipeline to Fabricate Sensing Network Physicalizations	10.1109/TVCG.2023.3327198	Interaction is critical for data analysis and sensemaking. However, designing interactive physicalizations is challenging as it requires cross-disciplinary knowledge in visualization, fabrication, and electronics. Interactive physicalizations are typically produced in an unstructured manner, resulting in unique solutio...	false	false	[ "S. Sandra Bae", "Takanori Fujiwara", "Anders Ynnerman", "Ellen Yi-Luen Do", "Michael L. Rivera", "Danielle Albers Szafir" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.04714v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/9fexUfzRIjs", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/xhGKUf2PCYw", "icon": "video" } ]
Vis	2,023	A General Framework for Progressive Data Compression and Retrieval	10.1109/TVCG.2023.3327186	In scientific simulations, observations, and experiments, the transfer of data to and from disk and across networks has become a major bottleneck for data analysis and visualization. Compression techniques have been employed to tackle this challenge, but traditional lossy methods often demand conservative error toleran...	false	false	[ "Victor Antonio Paludetto Magri", "Peter Lindstrom 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.11759v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/RWsdS44wpm4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/MASGoL1NZMM", "icon": "video" } ]
Vis	2,023	A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics	10.1109/TVCG.2023.3327152	Guidance can support users during the exploration and analysis of complex data. Previous research focused on characterizing the theoretical aspects of guidance in visual analytics and implementing guidance in different scenarios. However, the evaluation of guidance-enhanced visual analytics solutions remains an open re...	false	false	[ "Davide Ceneda", "Christopher Collins 0001", "Mennatallah El-Assady", "Silvia Miksch", "Christian Tominski", "Alessio Arleo" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.13052v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/P0LmNH6Sl34", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/e7Hu3C8Mj7M", "icon": "video" } ]
Vis	2,023	A Local Iterative Approach for the Extraction of 2D Manifolds from Strongly Curved and Folded Thin-Layer Structures	10.1109/TVCG.2023.3327403	Ridge surfaces represent important features for the analysis of 3-dimensional (3D) datasets in diverse applications and are often derived from varying underlying data including flow fields, geological fault data, and point data, but they can also be present in the original scalar images acquired using a plethora of ima...	false	false	[ "Nicolas Klenert", "Verena Lepper", "Daniel Baum" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.07070v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/nJWJrZd0KFI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/B10fjAOfFMo", "icon": "video" } ]
Vis	2,023	A Parallel Framework for Streaming Dimensionality Reduction	10.1109/TVCG.2023.3326515	The visualization of streaming high-dimensional data often needs to consider the speed in dimensionality reduction algorithms, the quality of visualized data patterns, and the stability of view graphs that usually change over time with new data. Existing methods of streaming high-dimensional data visualization primaril...	false	false	[ "Jiazhi Xia", "Linquan Huang", "Yiping Sun", "Zhiwei Deng", "Xiaolong Luke Zhang", "Minfeng Zhu" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/lHQAMgYuyvA", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/L39askTrxh8", "icon": "video" } ]
Vis	2,023	A Task-Parallel Approach for Localized Topological Data Structures	10.1109/TVCG.2023.3327182	Unstructured meshes are characterized by data points irregularly distributed in the Euclidian space. Due to the irregular nature of these data, computing connectivity information between the mesh elements requires much more time and memory than on uniformly distributed data. To lower storage costs, dynamic data structu...	false	false	[ "Guoxi Liu", "Federico Iuricich" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.15638v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/DX1Pi4V7iQw", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/K7q5fiqmJq8", "icon": "video" } ]
Vis	2,023	A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision	10.1109/TVCG.2023.3326588	Existing model evaluation tools mainly focus on evaluating classification models, leaving a gap in evaluating more complex models, such as object detection. In this paper, we develop an open-source visual analysis tool, Uni-Evaluator, to support a unified model evaluation for classification, object detection, and insta...	false	false	[ "Changjian Chen", "Yukai Guo", "Fengyuan Tian", "Shilong Liu", "Weikai Yang", "Zhaowei Wang", "Jing Wu 0004", "Hang Su", "Hanspeter Pfister", "Shixia Liu" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.05168v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/4JK2zn0LYdI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/zM0FXNzq6PM", "icon": "video" } ]
Vis	2,023	Action-Evaluator: A Visualization Approach for Player Action Evaluation in Soccer	10.1109/TVCG.2023.3326524	In soccer, player action evaluation provides a fine-grained method to analyze player performance and plays an important role in improving winning chances in future matches. However, previous studies on action evaluation only provide a score for each action, and hardly support inspecting and comparing player actions int...	false	false	[ "Anqi Cao", "Xiao Xie", "Mingxu Zhou", "Hui Zhang 0051", "Mingliang Xu", "Yingcai Wu" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/FMmI8pz3e5M", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/gfn4zJemyaQ", "icon": "video" } ]
Vis	2,023	Adaptive Assessment of Visualization Literacy	10.1109/TVCG.2023.3327165	Visualization literacy is an essential skill for accurately interpreting data to inform critical decisions. Consequently, it is vital to understand the evolution of this ability and devise targeted interventions to enhance it, requiring concise and repeatable assessments of visualization literacy for individuals. Howev...	false	false	[ "Yuan Cui", "Lily W. Ge", "Yiren Ding", "Fumeng Yang", "Lane Harrison", "Matthew Kay 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.14147v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/fKJifGleSYY", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/4JWm4X8JQQQ", "icon": "video" } ]
Vis	2,023	Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization	10.1109/TVCG.2023.3327194	Scene representation networks (SRNs) have been recently proposed for compression and visualization of scientific data. However, state-of-the-art SRNs do not adapt the allocation of available network parameters to the complex features found in scientific data, leading to a loss in reconstruction quality. We address this...	false	false	[ "Skylar W. Wurster", "Tianyu Xiong", "Han-Wei Shen", "Hanqi Guo 0001", "Tom Peterka" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.02494v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/CM2h8KUgsMg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/DNV-hfpiBLI", "icon": "video" } ]
Vis	2,023	Affective Visualization Design: Leveraging the Emotional Impact of Data	10.1109/TVCG.2023.3327385	In recent years, more and more researchers have reflected on the undervaluation of emotion in data visualization and highlighted the importance of considering human emotion in visualization design. Meanwhile, an increasing number of studies have been conducted to explore emotion-related factors. However, so far, this r...	false	false	[ "Xingyu Lan", "Yanqiu Wu", "Nan Cao 0001" ]	[ "BP" ]	[ "PW", "P", "V" ]	[ { "name": "Project Website", "url": "https://affectivevis.github.io/", "icon": "project_website" }, { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.02831v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Q7KBPKW85qc", "icon": "video" ...
Vis	2,023	Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research	10.1109/TVCG.2023.3326591	Visualization for machine learning (VIS4ML) research aims to help experts apply their prior knowledge to develop, understand, and improve the performance of machine learning models. In conceiving VIS4ML systems, researchers characterize the nature of human knowledge to support human-in-the-loop tasks, design interactiv...	false	false	[ "Hariharan Subramonyam", "Jessica Hullman" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.06290v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/oyxGvCFuobc", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/fn5zAUom2Mk", "icon": "video" } ]
Vis	2,023	ARGUS: Visualization of AI-Assisted Task Guidance in AR	10.1109/TVCG.2023.3327396	The concept of augmented reality (AR) assistants has captured the human imagination for decades, becoming a staple of modern science fiction. To pursue this goal, it is necessary to develop artificial intelligence (AI)-based methods that simultaneously perceive the 3D environment, reason about physical tasks, and model...	false	false	[ "Sonia Castelo", "João Rulff", "Erin McGowan", "Bea Steers", "Guande Wu", "Shaoyu Chen", "Irán R. Román", "Roque Lopez", "Ethan Brewer", "Chen Zhao", "Jing Qian", "Kyunghyun Cho", "He He 0001", "Qi Sun", "Huy T. Vo", "Juan Pablo Bello", "Michael Krone", "Cláudio T. Silva" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.06246v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/QIPtDJ57SK4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/qBDonJbkDjQ", "icon": "video" } ]
Vis	2,023	AttentionViz: A Global View of Transformer Attention	10.1109/TVCG.2023.3327163	Transformer models are revolutionizing machine learning, but their inner workings remain mysterious. In this work, we present a new visualization technique designed to help researchers understand the self-attention mechanism in transformers that allows these models to learn rich, contextual relationships between elemen...	false	false	[ "Catherine Yeh", "Yida Chen", "Aoyu Wu", "Cynthia Chen", "Fernanda B. Viégas", "Martin Wattenberg" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2305.03210v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/uVoPKrRy3ik", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/YBxRfWTFb3U", "icon": "video" } ]
Vis	2,023	Attribute-Aware RBFs: Interactive Visualization of Time Series Particle Volumes Using RT Core Range Queries	10.1109/TVCG.2023.3327366	Smoothed-particle hydrodynamics (SPH) is a mesh-free method used to simulate volumetric media in fluids, astrophysics, and solid mechanics. Visualizing these simulations is problematic because these datasets often contain millions, if not billions of particles carrying physical attributes and moving over time. Radial b...	false	false	[ "Nate Morrical", "Stefan Zellmann", "Alper Sahistan", "Patrick C. Shriwise", "Valerio Pascucci" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/Tf56UeFyPSI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/iIDCZbLPzRo", "icon": "video" } ]
Vis	2,023	Average Estimates in Line Graphs Are Biased Toward Areas of Higher Variability	10.1109/TVCG.2023.3326589	We investigate variability overweighting, a previously undocumented bias in line graphs, where estimates of average value are biased toward areas of higher variability in that line. We found this effect across two preregistered experiments with 140 and 420 participants. These experiments also show that the bias is redu...	false	false	[ "Dominik Moritz", "Lace M. K. Padilla", "Francis Nguyen", "Steven L. Franconeri" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.03903v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/yhMcIVE-hDE", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/XTA-DNCITtA", "icon": "video" } ]
Vis	2,023	Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link Diagrams	10.1109/TVCG.2023.3326925	Graph or network data are widely studied in both data mining and visualization communities to review the relationship among different entities and groups. The data facts derived from graph visual analysis are important to help understand the social structures of complex data, especially for data journalism. However, it...	false	false	[ "Qing Chen 0001", "Nan Chen", "Wei Shuai", "Guande Wu", "Zhe Xu 0007", "Hanghang Tong", "Nan Cao 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.06441v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/CI8z4kdshpo", "icon": "video" } ]
Vis	2,023	Causality-Based Visual Analysis of Questionnaire Responses	10.1109/TVCG.2023.3327376	As the final stage of questionnaire analysis, causal reasoning is the key to turning responses into valuable insights and actionable items for decision-makers. During the questionnaire analysis, classical statistical methods (e.g., Differences-in-Differences) have been widely exploited to evaluate causality between que...	false	false	[ "Renzhong Li", "Weiwei Cui", "Tianqi Song", "Xiao Xie", "Rui Ding 0001", "Yun Wang 0012", "Haidong Zhang", "Hong Zhou 0004", "Yingcai Wu" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/W4wfW9-WWLw", "icon": "video" } ]
Vis	2,023	Challenges and Opportunities in Data Visualization Education: A Call to Action	10.1109/TVCG.2023.3327378	This paper is a call to action for research and discussion on data visualization education. As visualization evolves and spreads through our professional and personal lives, we need to understand how to support and empower a broad and diverse community of learners in visualization. Data Visualization is a diverse and d...	false	false	[ "Benjamin Bach", "Mandy Keck", "Fateme Rajabiyazdi", "Tatiana Losev", "Isabel Meirelles", "Jason Dykes", "Robert S. Laramee", "Mashael AlKadi", "Christina Stoiber", "Samuel Huron", "Charles Perin", "Luiz Morais", "Wolfgang Aigner", "Doris Kosminsky", "Magdalena Boucher", "Søren Knudsen...	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.07703v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/_xNwKJV4w2M", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/MtsLr5b9pDM", "icon": "video" } ]
Vis	2,023	Character-Oriented Design for Visual Data Storytelling	10.1109/TVCG.2023.3326578	When telling a data story, an author has an intention they seek to convey to an audience. This intention can be of many forms such as to persuade, to educate, to inform, or even to entertain. In addition to expressing their intention, the story plot must balance being consumable and enjoyable while preserving scientifi...	false	false	[ "Keshav Dasu", "Yun-Hsin Kuo", "Kwan-Liu Ma" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.07557v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/cV6Oro-gfBg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/om-urGmmd5o", "icon": "video" } ]
Vis	2,023	CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering	10.1109/TVCG.2023.3327201	Visual clustering is a common perceptual task in scatterplots that supports diverse analytics tasks (e.g., cluster identification). However, even with the same scatterplot, the ways of perceiving clusters (i.e., conducting visual clustering) can differ due to the differences among individuals and ambiguous cluster boun...	false	false	[ "Hyeon Jeon", "Ghulam Jilani Quadri", "Hyunwook Lee", "Paul Rosen 0001", "Danielle Albers Szafir", "Jinwook Seo" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.00284v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Jd3naMKyScU", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/-Lx8iElkiDg", "icon": "video" } ]
Vis	2,023	Class-Constrained t-SNE: Combining Data Features and Class Probabilities	10.1109/TVCG.2023.3326600	Data features and class probabilities are two main perspectives when, e.g., evaluating model results and identifying problematic items. Class probabilities represent the likelihood that each instance belongs to a particular class, which can be produced by probabilistic classifiers or even human labeling with uncertaint...	false	false	[ "Linhao Meng", "Stef van den Elzen", "Nicola Pezzotti", "Anna Vilanova" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.13837v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/91nAgNhpHIg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/O2xRwsUpIc0", "icon": "video" } ]
Vis	2,023	Classes are not Clusters: Improving Label-Based Evaluation of Dimensionality Reduction	10.1109/TVCG.2023.3327187	A common way to evaluate the reliability of dimensionality reduction (DR) embeddings is to quantify how well labeled classes form compact, mutually separated clusters in the embeddings. This approach is based on the assumption that the classes stay as clear clusters in the original high-dimensional space. However, in r...	false	false	[ "Hyeon Jeon", "Yun-Hsin Kuo", "Michaël Aupetit 0001", "Kwan-Liu Ma", "Jinwook Seo" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.00278v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/2z0zTS7lSMo", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/_lIlinnyHkA", "icon": "video" } ]
Vis	2,023	Cluster-Aware Grid Layout	10.1109/TVCG.2023.3326934	Grid visualizations are widely used in many applications to visually explain a set of data and their proximity relationships. However, existing layout methods face difficulties when dealing with the inherent cluster structures within the data. To address this issue, we propose a cluster-aware grid layout method that ai...	false	false	[ "Yuxing Zhou", "Weikai Yang", "Jiashu Chen", "Changjian Chen", "Zhiyang Shen", "Xiaonan Luo", "Lingyun Yu 0001", "Shixia Liu" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.03651v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/UTG1UIbfOVc", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/j3RC42_HyeU", "icon": "video" } ]
Vis	2,023	CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models	10.1109/TVCG.2023.3327153	Recently, large pretrained language models have achieved compelling performance on commonsense benchmarks. Nevertheless, it is unclear what commonsense knowledge the models learn and whether they solely exploit spurious patterns. Feature attributions are popular explainability techniques that identify important input c...	false	false	[ "Xingbo Wang 0001", "Renfei Huang", "Zhihua Jin", "Tianqing Fang", "Huamin Qu" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.12382v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Ko6di7FUGVc", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Jvsw0VE3Bko", "icon": "video" } ]
Vis	2,023	Data Formulator: AI-Powered Concept-Driven Visualization Authoring	10.1109/TVCG.2023.3326585	With most modern visualization tools, authors need to transform their data into tidy formats to create visualizations they want. Because this requires experience with programming or separate data processing tools, data transformation remains a barrier in visualization authoring. To address this challenge, we present a ...	false	false	[ "Chenglong Wang", "John Thompson 0002", "Bongshin Lee" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2309.10094v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/gc2fOZ3E-1c", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/2CmYytcpoPg", "icon": "video" } ]
Vis	2,023	Data Navigator: An Accessibility-Centered Data Navigation Toolkit	10.1109/TVCG.2023.3327393	Making data visualizations accessible for people with disabilities remains a significant challenge in current practitioner efforts. Existing visualizations often lack an underlying navigable structure, fail to engage necessary input modalities, and rely heavily on visual-only rendering practices. These limitations excl...	false	false	[ "Frank Elavsky", "Lucas Nadolskis", "Dominik Moritz" ]	[]	[ "P", "V", "C" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.08475v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/z-J6kjYRohA", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/mxTeCOPT6Vo", "icon": "video" }, { ...
Vis	2,023	Data Player: Automatic Generation of Data Videos with Narration-Animation Interplay	10.1109/TVCG.2023.3327197	Data visualizations and narratives are often integrated to convey data stories effectively. Among various data storytelling formats, data videos have been garnering increasing attention. These videos provide an intuitive interpretation of data charts while vividly articulating the underlying data insights. However, the...	false	false	[ "Leixian Shen", "Yizhi Zhang", "Haidong Zhang", "Yun Wang 0012" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.04703v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/WkHHY7haJYI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/wrtAbOrr3m8", "icon": "video" } ]
Vis	2,023	Data Type Agnostic Visual Sensitivity Analysis	10.1109/TVCG.2023.3327203	Modern science and industry rely on computational models for simulation, prediction, and data analysis. Spatial blind source separation (SBSS) is a model used to analyze spatial data. Designed explicitly for spatial data analysis, it is superior to popular non-spatial methods, like PCA. However, a challenge to its prac...	false	false	[ "Nikolaus Piccolotto", "Markus Bögl", "Christoph Muehlmann", "Klaus Nordhausen", "Peter Filzmoser", "Johanna Schmidt", "Silvia Miksch" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2309.03580v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/uM-t5wrikFs", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/qlz1lzLI48Y", "icon": "video" } ]
Vis	2,023	Dataopsy: Scalable and Fluid Visual Exploration using Aggregate Query Sculpting	10.1109/TVCG.2023.3326594	We present aggregate query sculpting (AQS), a faceted visual query technique for large-scale multidimensional data. As a “born scalable” query technique, AQS starts visualization with a single visual mark representing an aggregation of the entire dataset. The user can then progressively explore the dataset through a se...	false	false	[ "Md. Naimul Hoque", "Niklas Elmqvist" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.02764v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/QQRfR7cqtLk", "icon": "video" } ]
Vis	2,023	Dead or Alive: Continuous Data Profiling for Interactive Data Science	10.1109/TVCG.2023.3327367	Profiling data by plotting distributions and analyzing summary statistics is a critical step throughout data analysis. Currently, this process is manual and tedious since analysts must write extra code to examine their data after every transformation. This inefficiency may lead to data scientists profiling their data i...	false	false	[ "Will Epperson", "Vaishnavi Gorantla", "Dominik Moritz", "Adam Perer" ]	[ "HM" ]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.03964v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/qtSt39Z3tIk", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/eMphMxjoIUA", "icon": "video" } ]
Vis	2,023	Design Characterization for Black-and-White Textures in Visualization	10.1109/TVCG.2023.3326941	We investigate the use of 2D black-and-white textures for the visualization of categorical data and contribute a summary of texture attributes, and the results of three experiments that elicited design strategies as well as aesthetic and effectiveness measures. Black-and-white textures are useful, for instance, as a vi...	false	false	[ "Tingying He", "Yuanyang Zhong", "Petra Isenberg", "Tobias Isenberg 0001" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.10089v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/YSZAgpoddtA", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/5nZ_v7C8xog", "icon": "video" } ]
Vis	2,023	Design Patterns for Situated Visualization in Augmented Reality	10.1109/TVCG.2023.3327398	Situated visualization has become an increasingly popular research area in the visualization community, fueled by advancements in augmented reality (AR) technology and immersive analytics. Visualizing data in spatial proximity to their physical referents affords new design opportunities and considerations not present i...	false	false	[ "Benjamin Lee", "Michael Sedlmair", "Dieter Schmalstieg" ]	[]	[ "P", "V" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.09157v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Ya5dInAbZE0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/hgf7X_uKG6g", "icon": "video" } ]
Vis	2,023	Designing for Ambiguity in Visual Analytics: Lessons from Risk Assessment and Prediction	10.1109/TVCG.2023.3326571	Ambiguity is pervasive in the complex sensemaking domains of risk assessment and prediction but there remains little research on how to design visual analytics tools to accommodate it. We report on findings from a qualitative study based on a conceptual framework of sensemaking processes to investigate how both new vis...	false	false	[ "Stanislaw Nowak", "Lyn Bartram" ]	[]	[ "V" ]	[ { "name": "Fast Forward", "url": "https://youtu.be/btRIn_f3kKE", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/SBB4WR305xk", "icon": "video" } ]

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