Split (1)

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	2,025	Crowdsourced Think-Aloud Studies	10.1145/3706598.3714305	The think-aloud (TA) protocol is a useful method for evaluating user interfaces, including data visualizations. However, TA studies are time-consuming to conduct and hence often have a small number of participants. Crowdsourcing TA studies would help alleviate these problems, but the technical overhead and the unknown ...	false	false	[ "Zach Cutler", "Lane Harrison", "Carolina Nobre", "Alexander Lex" ]	[]	[]	[]
CHI	2,025	Data at Hand: Exploring the Tactile Perception of Data Physicalizations	10.1145/3706598.3713212	Data physicalizations are tangible objects, and touching them may improve their interpretation. However, little is known about how people actually touch physicalizations. We recorded verbal and tactile responses to data physicalizations in three consecutive conditions: as an unspecified object, as a representation of u...	false	false	[ "Dietmar Offenhuber", "Laura J. Perovich", "Bernice E. Rogowitz" ]	[]	[]	[]
CHI	2,025	Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way	10.1145/3706598.3713296	Data analysts often need to iterate between data transformations and chart designs to create rich visualizations for exploratory data analysis. Although many AI-powered systems have been introduced to reduce the effort of visualization authoring, existing systems are not well suited for iterative authoring. They typica...	false	false	[ "Chenglong Wang", "Bongshin Lee", "Steven Mark Drucker", "Dan Marshall", "Jianfeng Gao 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2408.16119v2", "icon": "paper" } ]
CHI	2,025	Datamancer: Bimanual Gesture Interaction in Multi-Display Ubiquitous Analytics Environments	10.1145/3706598.3713123	We introduce Datamancer, a wearable device enabling bimanual gesture interaction across multi-display ubiquitous analytics environments. Datamancer addresses the gap in gesture-based interaction within data visualization settings, where current methods are often constrained by limited interaction spaces or the need for...	false	false	[ "Biswaksen Patnaik", "Marcel Borowski", "Huaishu Peng", "Clemens Nylandsted Klokmose", "Niklas Elmqvist" ]	[]	[]	[]
CHI	2,025	Decision Theoretic Foundations for Experiments Evaluating Human Decisions	10.1145/3706598.3714063	Decision-making with information displays is a key focus of research in areas like human-AI collaboration and data visualization. However, what constitutes a decision problem, and what is required for an experiment to conclude that decisions are flawed, remain imprecise. We present a widely applicable definition of a d...	false	false	[ "Jessica Hullman", "Alex Kale", "Jason D. Hartline" ]	[]	[]	[]
CHI	2,025	Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis	10.1145/3706598.3714058	Many visualizations have been developed for explainable AI (XAI), but they often require further reasoning by users to interpret. Investigating XAI for high-stakes medical diagnosis, we propose improving domain alignment with diagrammatic and abductive reasoning to reduce the interpretability gap. We developed DiagramN...	false	false	[ "Brian Y. Lim", "Joseph P. Cahaly", "Chester Y. F. Sng", "Adam Chew" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2302.01241v3", "icon": "paper" } ]
CHI	2,025	Disentangling the Power Dynamics in Participatory Data Physicalisation	10.1145/3706598.3713703	Participatory data physicalisation (PDP) is recognised for its potential to support data-driven decisions among stakeholders who collaboratively construct physical elements into commonly insightful visualisations. Like all participatory processes, PDP is however influenced by underlying power dynamics that might lead t...	false	false	[ "Silvia Cazacu", "Georgia Panagiotidou", "Thérèse Steenberghen", "Andrew Vande Moere" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2503.13018v1", "icon": "paper" } ]
CHI	2,025	Divisi: Interactive Search and Visualization for Scalable Exploratory Subgroup Analysis	10.1145/3706598.3713103	Analyzing data subgroups is a common data science task to build intuition about a dataset and identify areas to improve model performance. However, subgroup analysis is prohibitively difficult in datasets with many features, and existing tools limit unexpected discoveries by relying on user-defined or static subgroups....	false	false	[ "Venkatesh Sivaraman", "Zexuan Li", "Adam Perer" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2502.10537v1", "icon": "paper" } ]
CHI	2,025	DysVis: A User-Centred Data Visualization System for Dyslexia Pre-screening	10.1145/3706598.3713194	Dyslexia is a common neurobiological learning disorder significantly impacting reading, writing, and spelling worldwide. Early identification and intervention are essential, but most pre-screening tools focus on Latin languages, leaving Chinese-speaking students underserved. To address this gap, we conduct semi-structu...	false	false	[ "Ka Yan Fung", "Lik Hang Lee", "Linping Yuan", "Kwong Chiu Fung", "Kuen Fung Sin", "Tze-Leung Rick Lui", "Huamin Qu", "Shenghui Song 0001" ]	[]	[]	[]
CHI	2,025	Effects of Alternative Scatterplot Designs on Belief	10.1145/3706598.3713809	Viewers tend to underestimate correlation in positively correlated scatterplots. However, systematically changing the size and opacity of scatterplot points can bias estimates upwards, correcting for this underestimation. Here, we examine whether the application of these visualisation techniques goes beyond a simple pe...	false	false	[ "Gabriel Strain", "Andrew J. Stewart", "Caroline Jay", "Charlotte Rutherford", "Paul A. Warren" ]	[]	[]	[]
CHI	2,025	Exploratory Visual Analysis of Transcripts for Interaction Analysis in Human-Computer Interaction	10.1145/3706598.3713490	Transcripts are central to qualitative research in HCI, particularly for researchers using methods of Conversation Analysis (CA) and Interaction Analysis (IA) who study the socially situated nature of human-computer interaction. However, CA and IA researchers continue to highlight the significant need for more dynamic ...	false	false	[ "Ben Rydal Shapiro", "Rogers Hall", "Arpit Mathur", "Edwin Zhao" ]	[]	[]	[]
CHI	2,025	Exploring Design Spaces to Facilitate Household Collaboration for Cohabiting Couples	10.1145/3706598.3713383	Household collaboration among cohabiting couples presents unique challenges due to the intimate nature of the relationships and the lack of external rewards. Current efficiency-oriented technologies neglect these distinct dynamics. Our study aims to examine the real-world context and underlying needs of couples in thei...	false	false	[ "Gahyeon Bae", "Seo Kyoung Park", "Taewan Kim", "Hwajung Hong" ]	[]	[]	[]
CHI	2,025	Exploring Mobile Touch Interaction with Large Language Models	10.1145/3706598.3713554	Interacting with Large Language Models (LLMs) for text editing on mobile devices currently requires users to break out of their writing environment and switch to a conversational AI interface. In this paper, we propose to control the LLM via touch gestures performed directly on the text. We first chart a design space t...	false	false	[ "Tim Zindulka", "Jannek Maximilian Sekowski", "Florian Lehmann", "Daniel Buschek" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2502.07629v1", "icon": "paper" } ]
CHI	2,025	Exploring the Design Space of Privacy-Driven Adaptation Techniques for Future Augmented Reality Interfaces	10.1145/3706598.3713320	Modern augmented reality (AR) devices with advanced display and sensing capabilities pose significant privacy risks to users and bystanders. While previous context-aware adaptations focused on usability and ergonomics, we explore the design space of privacy-driven adaptations that allow users to meet their dynamic need...	false	false	[ "Shwetha Rajaram", "Macarena Peralta", "Janet G. Johnson", "Michael Nebeling" ]	[]	[]	[]
CHI	2,025	From Concept to Clinic: Multidisciplinary Design, Development, and Clinical Validation of Augmented Reality-Assisted Open Pancreatic Surgery	10.1145/3706598.3713458	Wearable augmented reality (AR) systems have significant potential to enhance surgical outcomes through in-situ visualization of patient-specific data. Yet, efforts to develop AR-based systems for open surgery have been limited, lacking comprehensive interdisciplinary research and actual clinical evaluations in real su...	false	false	[ "Hamraz Javaheri", "Omid Ghamarnejad", "Paul Lukowicz", "Gregor Alexander Stavrou", "Jakob Karolus" ]	[]	[]	[]
CHI	2,025	GenPara: Enhancing the 3D Design Editing Process by Inferring Users' Regions of Interest with Text-Conditional Shape Parameters	10.1145/3706598.3713502	In 3D design, specifying design objectives and visualizing complex shapes through text alone proves to be a significant challenge. Although advancements in 3D GenAI have significantly enhanced part assembly and the creation of high-quality 3D designs, many systems still to dynamically generate and edit design elements ...	false	false	[ "Jiin Choi 0001", "Seung Won Lee", "Kyung Hoon Hyun" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2503.14096v1", "icon": "paper" } ]
CHI	2,025	GistVis: Automatic Generation of Word-scale Visualizations from Data-rich Documents	10.1145/3706598.3713881	Data-rich documents are ubiquitous in various applications, yet they often rely solely on textual descriptions to convey data insights. Prior research primarily focused on providing visualization-centric augmentation to data-rich documents. However, few have explored using automatically generated word-scale visualizati...	false	false	[ "Ruishi Zou", "Yinqi Tang", "Jingzhu Chen", "Siyu Lu", "Yan Lu", "Yingfan Yang", "Chen Ye 0002" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2502.03784v1", "icon": "paper" } ]
CHI	2,025	HaptiCoil: Soft Programmable Buttons with Hydraulically Coupled Haptic Feedback and Sensing	10.1145/3706598.3713175	We present HaptiCoil, an embedded system and interaction method for prototyping low-cost, compact, and customizable wide bandwidth (1-500 Hz) soft haptic buttons. HaptiCoil devices are built using mass-produced, waterproof planar micro-speakers which are adapted to direct energy to the skin using a novel hydraulic coup...	false	false	[ "Jung-Hwan Youn", "Seung Heon Lee", "Craig Shultz" ]	[]	[]	[]
CHI	2,025	How Do People Perceive Bundling? An Experiment	10.1145/3706598.3713444	We present an exploratory study on how people perceive visualizations of spatial social networks generated by edge bundling algorithms. Although these algorithms successfully minimize clutter in node-link diagrams, they do so through various methods that can sometimes create false connections between nodes. We conducte...	false	false	[ "Markus Wallinger", "Osman Akbulut", "Kabir Ahmed Rufai", "Helen C. Purchase", "Daniel Archambault" ]	[]	[]	[]
CHI	2,025	How Scientists Use Large Language Models to Program	10.1145/3706598.3713668	Scientists across disciplines write code for critical activities like data collection and generation, statistical modeling, and visualization. As large language models that can generate code have become widely available, scientists may increasingly use these models during research software development. We investigate t...	false	false	[ "Gabrielle O'Brien" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2502.17348v1", "icon": "paper" } ]
CHI	2,025	How Visualization Designers Perceive and Use Inspiration	10.1145/3706598.3714191	Inspiration plays an important role in design, yet its specific impact on data visualization design practice remains underexplored. This study investigates how professional visualization designers perceive and use inspiration in their practice. Through semi-structured interviews, we examine their sources of inspiration...	false	false	[ "Ali Baigelenov", "Prakash Shukla", "Paul Parsons" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2502.15205v1", "icon": "paper" } ]
CHI	2,025	IdeationWeb: Tracking the Evolution of Design Ideas in Human-AI Co-Creation	10.1145/3706598.3713375	Due to the remarkable content generation capabilities, large language models (LLMs) have demonstrated potential in supporting early-stage conceptual design. However, current interaction paradigms often struggle to effectively facilitate multi-round idea exploration and selection, leading to random outputs, unclear iter...	false	false	[ "Hanshu Shen", "Lyukesheng Shen", "Wenqi Wu", "Kejun Zhang" ]	[]	[]	[]
CHI	2,025	Interactive Debugging and Steering of Multi-Agent AI Systems	10.1145/3706598.3713581	Fully autonomous teams of LLM-powered AI agents are emerging that collaborate to perform complex tasks for users. What challenges do developers face when trying to build and debug these AI agent teams? In formative interviews with five AI agent developers, we identify core challenges: difficulty reviewing long agent co...	false	false	[ "Will Epperson", "Gagan Bansal", "Victor C. Dibia", "Adam Fourney", "Jack Gerrits", "Erkang (Eric) Zhu", "Saleema Amershi" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2503.02068v1", "icon": "paper" } ]
CHI	2,025	Intra, Extra, Read all about it! How Readers Interpret Visualizations with Intra- and Extratextual Information	10.1145/3706598.3713612	A reader's interpretation of a visualization is informed by both intratextual information (the information directly represented in the visualization) and extratextual information (information not represented in the visualization but known by the reader). Yet, we do not know what kinds of intra- and extratextual informa...	false	false	[ "Alyxander Burns", "Claudia Gonzalez-Vazquez" ]	[]	[]	[]
CHI	2,025	Leveraging AI-Generated Emotional Self-Voice to Nudge People towards their Ideal Selves	10.1145/3706598.3713359	Emotions, shaped by past experiences, significantly influence decision-making and goal pursuit. Traditional cognitive-behavioral techniques for personal development rely on mental imagery to envision ideal selves, but may be less effective for individuals who struggle with visualization. This paper introduces Emotional...	false	false	[ "Cathy Mengying Fang", "Phoebe Chua", "Samantha W. T. Chan", "Joanne Leong", "Andria Bao", "Pattie Maes" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2409.11531v3", "icon": "paper" } ]
CHI	2,025	Libra: An Interaction Model for Data Visualization	10.1145/3706598.3713769	While existing visualization libraries enable the reuse, extension, and combination of static visualizations, achieving the same for interactions remains nearly impossible. Therefore, we contribute an interaction model and its implementation to achieve this goal. Our model enables the creation of interactions that supp...	false	false	[ "Yue Zhao 0033", "Yunhai Wang", "Xu Luo", "Yanyan Wang", "Jean-Daniel Fekete" ]	[]	[]	[]
CHI	2,025	LogoMotion: Visually-Grounded Code Synthesis for Creating and Editing Animation	10.1145/3706598.3714155	Creating animation takes time, effort, and technical expertise. To help novices with animation, we present LogoMotion, an AI code generation approach that helps users create semantically meaningful animation for logos. LogoMotion automatically generates animation code with a method called visually-grounded code synthes...	false	false	[ "Vivian Liu", "Rubaiat Habib Kazi", "Li-Yi Wei", "Matthew Fisher", "Timothy Langlois", "Seth Walker", "Lydia B. Chilton" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2405.07065v2", "icon": "paper" } ]
CHI	2,025	Lost in Magnitudes: Exploring Visualization Designs for Large Value Ranges	10.1145/3706598.3713487	We explore the design of visualizations for values spanning multiple orders of magnitude; we call them Orders of Magnitude Values (OMVs). Visualization researchers have shown that separating OMVs into two components, the mantissa and the exponent, and encoding them separately overcomes limitations of linear and logarit...	false	false	[ "Katerina Batziakoudi", "Florent Cabric", "Stéphanie Rey", "Jean-Daniel Fekete" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2404.15150v2", "icon": "paper" } ]
CHI	2,025	Making the Write Connections: Linking Writing Support Tools with Writer Needs	10.1145/3706598.3713161	This work sheds light on whether and how creative writers' needs are met by existing research and commercial writing support tools (WST). We conducted a need finding study to gain insight into the writers' process during creative writing through a qualitative analysis of the response from an online questionnaire and Re...	false	false	[ "Zixin Zhao", "Damien Masson", "Young-Ho Kim", "Gerald Penn", "Fanny Chevalier" ]	[]	[]	[]
CHI	2,025	OptiCarVis: Improving Automated Vehicle Functionality Visualizations Using Bayesian Optimization to Enhance User Experience	10.1145/3706598.3713514	Automated vehicle (AV) acceptance relies on their understanding via feedback. While visualizations aim to enhance user understanding of AV's detection, prediction, and planning functionalities, establishing an optimal design is challenging. Traditional "one-size-fits-all" designs might be unsuitable, stemming from reso...	false	false	[ "Pascal Jansen", "Mark Colley", "Svenja Krauß", "Daniel Hirschle", "Enrico Rukzio" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2501.06757v3", "icon": "paper" } ]
CHI	2,025	PAIRcolator: Pair Collaboration for Sensemaking and Reflection on Personal Data	10.1145/3706598.3713332	This paper explores pair collaboration as a novel approach for making sense of personal data. Pair collaboration—characterized by dyadic comparison and structured roles for questioning and reasoning—has proven effective for co-constructing knowledge. However, current collaborative visualization tools primarily focus on...	false	false	[ "Di Yan", "Jacky Bourgeois", "Yen-Chia Hsu", "Gerd Kortuem" ]	[]	[]	[]
CHI	2,025	Paratrouper: Exploratory Creation of Character Cast Visuals Using Generative AI	10.1145/3706598.3714242	Great characters are critical to the success of many forms of media, such as comics, games, and films. Designing visually compelling casts of characters requires significant skill and consideration, and there is a lack of specialized tools to support this endeavor. We investigate how AI-driven image-generation techniqu...	false	false	[ "Joanne Leong", "David Ledo", "Thomas Driscoll", "Tovi Grossman", "George W. Fitzmaurice", "Fraser Anderson" ]	[]	[]	[]
CHI	2,025	PiaMuscle: Improving Piano Skill Acquisition by Cost-effectively Estimating and Visualizing Activities of Miniature Hand Muscles	10.1145/3706598.3713465	Understanding neuromusculoskeletal mechanisms significantly impacts skill specialization and proficiency. While existing methods can infer large muscle activities during gross motor movements, the estimation of dexterous motor control involving miniature muscles remains underexplored. Targeting the coordinated hand mus...	false	false	[ "Ruofan Liu 0001", "Yichen Peng", "Takanori Oku", "Chen-Chieh Liao", "Erwin Wu", "Shinichi Furuya", "Hideki Koike" ]	[]	[]	[]
CHI	2,025	Plume: Scaffolding Text Composition in Dashboards	10.1145/3706598.3713580	Text in dashboards plays multiple critical roles, including providing context, offering insights, guiding interactions, and summarizing key information. Despite its importance, most dashboarding tools focus on visualizations and offer limited support for text authoring. To address this gap, we developed Plume, a system...	false	false	[ "Maxim Lisnic", "Vidya Setlur", "Nicole Sultanum" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2503.07512v1", "icon": "paper" } ]
CHI	2,025	PrivacyHub: A Functional Tangible and Digital Ecosystem for Interoperable Smart Home Privacy Awareness and Control	10.1145/3706598.3713517	Hubs are at the core of most smart homes. Modern cross-ecosystem protocols and standards enable smart home hubs to achieve interoperability across devices, offering the unique opportunity to integrate universally available smart home privacy awareness and control features. To date, such privacy features mainly focus on...	false	false	[ "Maximiliane Windl", "Philipp Thalhammer", "David Müller 0009", "Albrecht Schmidt 0001", "Sebastian S. Feger" ]	[]	[]	[]
CHI	2,025	PrivCAPTCHA: Interactive CAPTCHA to Facilitate Effective Comprehension of APP Privacy Policy	10.1145/3706598.3713928	Traditional app privacy policies are often lengthy and non-interactive, leading users to skip them and remain uninformed. To address this, we proposed PrivCAP, a technique to enhance user comprehension by presenting policies in a concise, interactive format. PrivCAP adopted a CAPTCHA-based design, requiring users to in...	false	false	[ "Shuning Zhang", "Xin Yi 0001", "Shixuan Li", "Haobin Xing", "Hewu Li" ]	[]	[]	[]
CHI	2,025	Progression Balancing × Baldur's Gate 3: Insights, Terms and Tools for Multi-Dimensional Video Game Balance	10.1145/3706598.3713162	Internal game balancing is one of the major components that affect player experience, as it is responsible for a large share of development time, the majority of game update patches and long-term player satisfaction. This makes tools and methodologies of assessing and advancing game balance a valuable endeavor for indu...	false	false	[ "Johannes Pfau" ]	[]	[]	[]
CHI	2,025	Reciportrait: a Data Humanism Approach for Collaborative Sensemaking of Personal Data	10.1145/3706598.3713300	Data Humanism has gained prominence in personal visualization and Personal Informatics, advocating for a subjective and slow approach to engage with personal data. Collaborative sensemaking has great potential for aiding the understanding of personal data, yet little is known about addressing requirements of structure ...	false	false	[ "Di Yan", "Chenge Tang", "Senthil Chandrasegaran", "Gerd Kortuem" ]	[]	[]	[]
CHI	2,025	Reflecting on Design Paradigms of Animated Data Video Tools	10.1145/3706598.3713449	Animated data videos have gained significant popularity in recent years. However, authoring data videos remains challenging due to the complexity of creating and coordinating diverse components (e.g., visualization, animation, audio, etc.). Although numerous tools have been developed to streamline the process, there is...	false	false	[ "Leixian Shen", "Haotian Li 0001", "Yun Wang 0012", "Huamin Qu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2502.04801v1", "icon": "paper" } ]
CHI	2,025	RemapVR: An Immersive Authoring Tool for Rapid Prototyping of Remapped Interaction in VR	10.1145/3706598.3714201	Remapping techniques in VR such as repositioning, redirection, and resizing have been extensively studied. Still, interaction designers rarely have the opportunity to use them due to high technical and knowledge barriers. In the paper, we extract common features of 24 existing remapping techniques and develop a high-fi...	false	false	[ "Tianren Luo", "Tong Wu", "Chaoyong Jiang", "Xinran Duan", "Jiafu Lv", "Nianlong Li", "Yachun Fan", "Teng Han", "Feng Tian 0001" ]	[]	[]	[]
CHI	2,025	RidgeBuilder: Interactive Authoring of Expressive Ridgeline Plots	10.1145/3706598.3714209	Ridgeline plots are frequently employed to visualize the evolution or distributions of multiple series with a pile of overlapping line, area, or bar charts, highlighting the peak patterns. While traditionally viewed as small multiple visualizations, their ridge-like patterns have increasingly attracted graphic designer...	false	false	[ "Shuhan Liu", "Yangtian Liu", "Junxin Li", "Yanwei Huang", "Yue Shangguan", "Zikun Deng", "Di Weng", "Yingcai Wu" ]	[]	[]	[]
CHI	2,025	Scaffolding Empathy: Training Counselors with Simulated Patients and Utterance-level Performance Visualizations	10.1145/3706598.3714014	Learning therapeutic counseling involves significant role-play experience with mock patients, with current manual training methods providing only intermittent granular feedback. We seek to accelerate and optimize counselor training by providing frequent, detailed feedback to trainees as they interact with a simulated p...	false	false	[ "Ian Steenstra", "Farnaz Nouraei", "Timothy W. Bickmore" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2502.18673v1", "icon": "paper" } ]
CHI	2,025	Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization	10.1145/3706598.3713955	Judging the similarity of visualizations is crucial to various applications, such as visualization-based search and visualization recommendation systems. Recent studies show deep-feature-based similarity metrics correlate well with perceptual judgments of image similarity and serve as effective loss functions for tasks...	false	false	[ "Sheng Long", "Angelos Chatzimparmpas", "Emma Alexander", "Matthew Kay 0001", "Jessica Hullman" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2503.00228v1", "icon": "paper" } ]
CHI	2,025	Seeing Through the Overlap: The Impact of Color and Opacity on Depth Order Perception in Visualization	10.1145/3706598.3714070	Semi-transparent visualizations are commonly used to reveal information in overlapped regions by applying colors and opacity. While a few studies made recommendations on how to choose colors and opacity levels to maintain depth perception, they often conflict and overlook the interaction effect between these factors. I...	false	false	[ "Zhiyuan Meng", "Yunpeng Yang", "Qiong Zeng", "Kecheng Lu", "Lin Lu 0001", "Changhe Tu", "Fumeng Yang", "Yunhai Wang" ]	[]	[]	[]
CHI	2,025	SeeThroughBody: Mitigating Occlusion through Body Transparency to Enhance Foot-Floor Touch Interaction	10.1145/3706598.3713659	Occlusion, often caused by the user's body or fingers, can significantly reduce the efficiency and usability of touch interfaces. As foot-based interactions in HMDs become more prevalent, self-occlusion becomes a more pronounced issue due to the involvement of the body and legs. This work presents SeeThroughBody, a bod...	false	false	[ "Meng Ting Shih", "Chun-Jui Chou", "Tzu-Wei Mi", "Liwei Chan 0001" ]	[]	[]	[]
CHI	2,025	Sequential Visual Cues from Gaze Patterns: Reasoning Assistance for Bar Charts	10.1145/3706598.3713352	Even for well-studied visual reasoning tasks such as those performed on bar charts, little is known about the cognitive strategies users adopt to solve them. Guidance systems that support users in learning visual reasoning require information on successful strategies to help unsuccessful users improve or change their s...	false	false	[ "Antonia Schlieder", "Jan Rummel", "Peter Albers", "Filip Sadlo" ]	[]	[]	[]
CHI	2,025	SocialEyes: Scaling Mobile Eye-tracking to Multi-person Social Settings	10.1145/3706598.3713910	Eye movements provide a window into human behaviour, attention, and interaction dynamics. Challenges in real-world, multi-person environments have, however, restrained eye-tracking research predominantly to single-person, in-lab settings. We developed a system to stream, record, and analyse synchronised data from multi...	false	false	[ "Shreshth Saxena", "Areez Visram", "Neil Lobo", "Zahid Mirza", "Mehak Rafi Khan", "Biranugan Pirabaharan", "Alexander Nguyen", "Lauren K. Fink" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2407.06345v4", "icon": "paper" } ]
CHI	2,025	SpatIO: Spatial Physical Computing Toolkit Based on Extended Reality	10.1145/3706598.3713747	Proper placement of sensors and actuators is one of the key factors when designing spatial and proxemic interactions. However, current physical computing tools do not effectively support placing components in three-dimensional space, often forcing designers to build and test prototypes without precise spatial configura...	false	false	[ "Seung Hyeon Han", "Yeeun Han", "Kyeongho Park", "Sangjun Lee", "Woohun Lee" ]	[]	[]	[]
CHI	2,025	SPECTRA: Personalizable Sound Recognition for Deaf and Hard of Hearing Users through Interactive Machine Learning	10.1145/3706598.3713294	We introduce SPECTRA, a novel pipeline for personalizable sound recognition designed to understand DHH users' needs when collecting audio data, creating a training dataset, and reasoning about the quality of a model. To evaluate the prototype, we recruited 12 DHH participants who trained personalized models for their h...	false	false	[ "Steven M. Goodman", "Emma J. McDonnell", "Jon E. Froehlich", "Leah Findlater" ]	[]	[]	[]
CHI	2,025	SpeechCompass: Enhancing Mobile Captioning with Diarization and Directional Guidance via Multi-Microphone Localization	10.1145/3706598.3713631	Speech-to-text capabilities on mobile devices have proven helpful for hearing and speech accessibility, language translation, note-taking, and meeting transcripts. However, our foundational large-scale survey (n=263) shows that the inability to distinguish and indicate speaker direction makes them challenging in group ...	false	false	[ "Artem Dementyev", "Dimitri Kanevsky", "Samuel J. Yang", "Mathieu Parvaix", "Chiong Lai", "Alex Olwal" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2502.08848v2", "icon": "paper" } ]
CHI	2,025	StructVizor: Interactive Profiling of Semi-Structured Textual Data	10.1145/3706598.3713484	Data profiling plays a critical role in understanding the structure of complex datasets and supporting numerous downstream tasks, such as social media analytics and financial fraud detection. While existing research predominantly focuses on structured data formats, a substantial portion of semi-structured textual data ...	false	false	[ "Yanwei Huang", "Yan Miao", "Di Weng", "Adam Perer", "Yingcai Wu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2503.06500v1", "icon": "paper" } ]
CHI	2,025	TableCanoniser: Interactive Grammar-Powered Transformation of Messy, Non-Relational Tables to Canonical Tables	10.1145/3706598.3714321	TableCanoniser is a declarative grammar and interactive system for constructing relational tables from messy tabular inputs such as spreadsheets. We propose the concept of axis alignment to categorise input types and characterise the expanded scope of our system relative to existing tools. The declarative grammar consi...	false	false	[ "Kai Xiong", "Cynthia A. Huang", "Michael Wybrow", "Yingcai Wu" ]	[]	[]	[]
CHI	2,025	TangibleNet: Synchronous Network Data Storytelling through Tangible Interactions in Augmented Reality	10.1145/3706598.3714265	Synchronous data-driven storytelling with network visualizations presents significant challenges due to the complexity of real-time manipulation of network components. While existing research addresses asynchronous scenarios, there is a lack of effective tools for live presentations. To address this gap, we developed T...	false	false	[ "Kentaro Takahira", "Wong Kam-Kwai", "Leni Yang", "Xian Xu", "Takanori Fujiwara", "Huamin Qu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2504.04710v1", "icon": "paper" } ]
CHI	2,025	The Anatomy of a Plea: How Uncertainty, Visualizations & Individual Differences Shape Plea Bargain Decisions	10.1145/3706598.3713096	Plea bargains are commonly used in the criminal justice system, where they can offer potential benefits to both the prosecution and the defendant. However, research has shown that defendants often engage in poor decision-making, such as accepting the plea even when the trial sentence is likely to be less severe. While ...	false	false	[ "Melanie Bancilhon", "Alvitta Ottley", "Andrew Jordan" ]	[]	[]	[]
CHI	2,025	The Gulf of Interpretation: From Chart to Message and Back Again	10.1145/3706598.3713413	Charts are used to communicate data visually, but often, we do not know whether a chart's intended message aligns with the message readers perceive. In this mixed-methods study, we investigate how data journalists encode data and how members of a broad audience engage with, experience, and understand these visualizatio...	false	false	[ "Christian Knoll 0004", "Torsten Möller", "Kathleen Gregory", "Laura Koesten" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2310.05752v2", "icon": "paper" } ]
CHI	2,025	The Interaction Geography Slicer: Designing Exploratory Spatial Data Visualization Tools for Teachers' Reflective Practice	10.1145/3706598.3713499	Researchers in HCI and teacher education have long recognized the potential of visualization to support teachers' reflective practice. Despite much progress however, teacher educators continue to highlight the need for more dynamic classroom data visualizations to better support teachers' reflective practice, particula...	false	false	[ "Ben Rydal Shapiro", "Elizabeth C. Metts", "Edwin Zhao" ]	[]	[]	[]
CHI	2,025	The Many Tendrils of the Octopus Map	10.1145/3706598.3713583	Conspiratorial thinking can connect many distinct or distant ills to a central cause. This belief has visual form in the octopus map: a map where a central force (for instance a nation, an ideology, or an ethnicity) is depicted as a literal or figurative octopus, with extending tendrils. In this paper, we explore how o...	false	false	[ "Eduardo Puerta", "Shani Claire Spivak", "Michael Correll" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2501.14903v1", "icon": "paper" } ]
CHI	2,025	The Social Construction of Visualizations: Practitioner Challenges and Experiences of Visualizing Race and Gender	10.1145/3706598.3713243	Data visualizations are increasingly seen as socially constructed, with several recent studies positing that perceptions and interpretations of visualization artifacts are shaped through complex sets of interactions between members of a community. However, most of these works have focused on audiences and researchers, ...	false	false	[ "Priya Dhawka", "Sayamindu Dasgupta" ]	[]	[]	[]
CHI	2,025	Toward Filling a Critical Knowledge Gap: Charting the Interactions of Age with Task and Visualization	10.1145/3706598.3714229	We present the results of a study comparing the performance of younger adults (YA) and people in late adulthood (PLA) across ten low-level analysis tasks and five basic visualizations, employing Bayesian regression to aggregate and model participant performance. We analyzed performance at the task level and across comb...	false	false	[ "Zack While", "Ali Sarvghad" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2503.02699v1", "icon": "paper" } ]
CHI	2,025	Toward Personalizable AI Node Graph Creative Writing Support: Insights on Preferences for Generative AI Features and Information Presentation Across Story Writing Processes	10.1145/3706598.3713569	As story writing requires diverse resources, a single system combining these resources could improve personalization. We leverage the broad capabilities of generative AI to support both more general story writing needs and an understudied but essential aspect: reflection on the moral (lesson) conveyed. Through a format...	false	false	[ "Hua Xuan Qin", "Guangzhi Zhu", "Mingming Fan 0001", "Pan Hui 0001" ]	[]	[]	[]
CHI	2,025	Traversing Dual Realities: Investigating Techniques for Transitioning 3D Objects between Desktop and Augmented Reality Environments	10.1145/3706598.3713949	Desktop environments can integrate augmented reality (AR) head-worn devices to support 3D representations, visualizations, and interactions in a novel yet familiar setting. As users navigate across the dual realities—desktop and AR—a way to move 3D objects between them is needed. We devise three baseline transition tec...	false	false	[ "Tobias Rau", "Tobias Isenberg 0001", "Andreas Köhn", "Michael Sedlmair", "Benjamin Lee 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2504.00371v1", "icon": "paper" } ]
CHI	2,025	Trustworthy by Design: The Viewer's Perspective on Trust in Data Visualization	10.1145/3706598.3713824	Despite the importance of viewers' trust in data visualization, there is a lack of research on the viewers' own perspective on their trust. In addition, much of the research on trust remains relatively theoretical and inaccessible for designers. This work aims to address this gap by conducting a qualitative study to ex...	false	false	[ "Oen G. McKinley", "Saugat Pandey", "Alvitta Ottley" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2503.10892v1", "icon": "paper" } ]
CHI	2,025	Uncertainty in Science is Malleable. Advocating for User-Agency in Defining Uncertainty in Visualizations: a Case Study in Geology	10.1145/3706598.3713972	Uncertainty is inherent in science built on previous results. In geoscience, for instance, researchers analyzing volcanic deposits assess the uncertainty around past deposit classifications. To aid this assessment, we followed a design by immersion approach to co-design uncertainty visualizations. We observed that besi...	false	false	[ "Vanessa Peña Araya", "Consuelo Martínez Fontaine", "Xiang Wei", "Guillaume Delpech", "Anastasia Bezerianos" ]	[]	[]	[]
CHI	2,025	Understanding Marine Scientist Software Tool Use	10.1145/3706598.3713621	Marine science researchers are heavy users of software tools and systems such as statistics packages, visualization tools, and online data catalogues. Following a constructivist grounded theory approach, we conduct a semi-structured interview study of 23 marine science researchers and research supports within a North A...	false	false	[ "Matthew Lakier", "Andrew Irwin", "Daniel Vogel 0001" ]	[]	[]	[]
CHI	2,025	Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction	10.1145/3706598.3713551	Dimensionality reduction (DR) techniques are essential for visually analyzing high-dimensional data. However, visual analytics using DR often face unreliability, stemming from factors such as inherent distortions in DR projections. This unreliability can lead to analytic insights that misrepresent the underlying data, ...	false	false	[ "Hyeon Jeon", "Hyunwook Lee", "Yun-Hsin Kuo", "Taehyun Yang", "Daniel Archambault", "Sungahn Ko", "Takanori Fujiwara", "Kwan-Liu Ma", "Jinwook Seo" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2501.10168v2", "icon": "paper" } ]
CHI	2,025	Visualization Guardrails: Designing Interventions Against Cherry-Picking in Interactive Data Explorers	10.1145/3706598.3713385	The growing popularity of interactive time series exploration platforms has made data visualization more accessible to the public. However, the ease of creating polished charts with preloaded data also enables selective information presentation, often resulting in biased or misleading visualizations. Research shows tha...	false	false	[ "Maxim Lisnic", "Zach Cutler", "Marina Kogan", "Alexander Lex" ]	[]	[]	[]
CHI	2,025	VisUnit: Literate Visualisation Studies Assembled from Reusable Test-Suites	10.1145/3706598.3713104	We make four contributions to lower the overhead of conducting visualisation user studies and promote the reuse and extension of their materials. (i) A declarative Javascript specification lets experimenters describe how studies are assembled from tested visualisations, datasets, tasks and chosen evaluation strategies....	false	false	[ "Radu Jianu", "Aidan Slingsby", "Dany Laksono", "Mershack Okoe" ]	[]	[]	[]
CHI	2,025	What-if Analysis for Business Professionals: Current Practices and Future Opportunities	10.1145/3706598.3713672	What-if analysis (WIA) is essential for data-driven decision-making, allowing users to assess how changes in variables impact outcomes and explore alternative scenarios. Existing WIA research primarily supports the workflows of data scientists and analysts, and largely overlooks business professionals who engage in WIA...	false	false	[ "Sneha Gathani", "Zhicheng Liu", "Peter J. Haas", "Çagatay Demiralp" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2212.13643v4", "icon": "paper" } ]
CHI	2,025	ZuantuSet: A Collection of Historical Chinese Visualizations and Illustrations	10.1145/3706598.3713276	Historical visualizations are a valuable resource for studying the history of visualization and inspecting the cultural context where they were created. When investigating historical visualizations, it is essential to consider contributions from different cultural frameworks to gain a comprehensive understanding. While...	false	false	[ "Xiyao Mei", "Yu Zhang 0043", "Chaofan Yang", "Rui Shi", "Xiaoru Yuan" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2502.19093v1", "icon": "paper" } ]
Vis	2,024	"I Came Across a Junk": Understanding Design Flaws of Data Visualization from the Public's Perspective	10.1109/TVCG.2024.3456341	The visualization community has a rich history of reflecting upon visualization design flaws. Although research in this area has remained lively, we believe it is essential to continuously revisit this classic and critical topic in visualization research by incorporating more empirical evidence from diverse sources, ch...	false	true	[ "Xingyu Lan", "Yu Liu" ]	[ "HM" ]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2407.11497v3", "icon": "paper" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-1594.html", "icon": "other" }, { "name": "Fast Forward Video", "url": "https://youtu.be/...
Vis	2,024	"It's a Good Idea to Put It Into Words": Writing 'Rudders' in the Initial Stages of Visualization Design	10.1109/TVCG.2024.3456324	Written language is a useful tool for non-visual creative activities like composing essays and planning searches. This paper investigates the integration of written language into the visualization design process. We create the idea of a ‘writing rudder,’ which acts as a guiding force or strategy for the designer. Via a...	false	true	[ "Chase Stokes", "Clara Hu", "Marti Hearst" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/abs/2407.15959", "icon": "paper" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-1140.html", "icon": "other" }, { "name": "Fast Forward Video", "url": "https://youtu.be/c...
Vis	2,024	2D Embeddings of Multi-dimensional Partitionings	10.1109/TVCG.2024.3456394	Partitionings (or segmentations) divide a given domain into disjoint connected regions whose union forms again the entire domain. Multi-dimensional partitionings occur, for example, when analyzing parameter spaces of simulation models, where each segment of the partitioning represents a region of similar model behavior...	true	true	[ "Marina Evers", "Lars Linsen" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/abs/2408.03641", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://github.com/marinaevers/segmentation-projection", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/ye...
Vis	2,024	A Deixis-Centered Approach for Documenting Remote Synchronous Communication around Data Visualizations	10.1109/TVCG.2024.3456351	Referential gestures, or as termed in linguistics, deixis, are an essential part of communication around data visualizations. Despite their importance, such gestures are often overlooked when documenting data analysis meetings. Transcripts, for instance, fail to capture gestures, and video recordings may not adequately...	true	true	[ "Chang Han", "Katherine E. Isaacs" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/abs/2408.04041", "icon": "paper" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-1487.html", "icon": "other" }, { "name": "Fast Forward Video", "url": "https://youtu.be/c...
Vis	2,024	A General Framework for Comparing Embedding Visualizations Across Class-Label Hierarchies	10.1109/TVCG.2024.3456370	Projecting high-dimensional vectors into two dimensions for visualization, known as embedding visualization, facilitates perceptual reasoning and interpretation. Comparing multiple embedding visualizations drives decision-making in many domains, but traditional comparison methods are limited by a reliance on direct poi...	true	true	[ "Trevor Manz", "Fritz Lekschas", "Evan Greene", "Greg Finak", "Nils Gehlenborg" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/puxnf", "icon": "paper" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-1489.html", "icon": "other" }, { "name": "Fast Forward Video", "url": "https://youtu.be/NOQMkUdisUc",...
Vis	2,024	A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations	10.1109/TVCG.2024.3456308	The semantic similarity between documents of a text corpus can be visualized using map-like metaphors based on twodimensional scatterplot layouts. These layouts result from a dimensionality reduction on the document-term matrix or a representation within a latent embedding, including topic models. Thereby, the resultin...	false	true	[ "Daniel Atzberger", "Tim Cech", "Willy Scheibel", "Jürgen Döllner", "Michael Behrisch", "Tobias Schreck" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/abs/2407.17876", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://zenodo.org/records/12772899", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/pa...
Vis	2,024	A Multi-Level Task Framework for Event Sequence Analysis	10.1109/TVCG.2024.3456510	Despite the development of numerous visual analytics tools for event sequence data across various domains, including but not limited to healthcare, digital marketing, and user behavior analysis, comparing these domain-specific investigations and transferring the results to new datasets and problem areas remain challeng...	false	true	[ "Kazi Tasnim Zinat", "Saimadhav Naga Sakhamuri", "Aaron Sun Chen", "Zhicheng Liu" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2408.04752v1", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://osf.io/bkjsc/?view_only=b95871b8c4ae497ab9b6cb565e28edf5", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ie...
Vis	2,024	A Practical Solver for Scalar Data Topological Simplification	10.1109/TVCG.2024.3456345	This paper presents a practical approach for the optimization of topological simplification, a central pre-processing step for the analysis and visualization of scalar data. Given an input scalar field f and a set of "signal" persistence pairs to maintain, our approaches produces an output field g that is close to f an...	false	true	[ "Mohamed KISSI", "Mathieu Pont", "Joshua A Levine", "Julien Tierny" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/abs/2407.12399", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://github.com/MohamedKISSI/Code-Paper-A-Pratical-Solver-for-Scalar-Data-Topological-Simplification", "icon": "other" }, { "name": "IEEE VIS Con...
Vis	2,024	A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space	10.1109/TVCG.2024.3456359	Annotations play a vital role in highlighting critical aspects of visualizations, aiding in data externalization and exploration, collaborative sensemaking, and visual storytelling. However, despite their widespread use, we identified a lack of a design space for common practices for annotations. In this paper, we eval...	false	true	[ "Md Dilshadur Rahman", "Ghulam Jilani Quadri", "Bhavana Doppalapudi", "Danielle Albers Szafir", "Paul Rosen" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/abs/2306.06043", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://shorturl.at/bAGM1", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full...
Vis	2,024	Aardvark: Composite Visualizations of Trees, Time-Series, and Images	10.1109/TVCG.2024.3456193	How do cancer cells grow, divide, proliferate, and die? How do drugs infuence these processes? These are diffcult questions that we can attempt to answer with a combination of time-series microscopy experiments, classifcation algorithms, and data visualization. However, collecting this type of data and applying algorit...	true	true	[ "Devin Lange", "Robert L Judson-Torres", "Thomas A Zangle", "Alexander Lex" ]	[ "BP" ]	[ "PW", "P", "V", "C", "O" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/preprints/osf/cdbm6", "icon": "paper" }, { "name": "Live Demo", "url": "https://aardvark.sci.utah.edu/", "icon": "project_website" }, { "name": "Overview Video", "url": "https://youtu.be/mA6H4-i04g4", "icon": "video" },...
Vis	2,024	AdaMotif: Graph Simplification via Adaptive Motif Design	10.1109/TVCG.2024.3456321	With the increase of graph size, it becomes difficult or even impossible to visualize graph structures clearly within the limited screen space. Consequently, it is crucial to design effective visual representations for large graphs. In this paper, we propose AdaMotif, a novel approach that can capture the essential str...	false	true	[ "Hong Zhou", "Peifeng Lai", "Zhida Sun", "Xiangyuan Chen", "Yang Chen", "Huisi Wu", "Yong WANG" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2408.16308v1", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://osf.io/pb8t3/ and https://github.com/lpfeng11/AdaMotif,other\nIEEE VIS Conference Page,https://ieeevis.org/year/2024/program/paper_v-full-1606.html,...
Vis	2,024	Advancing Multimodal Large Language Models in Chart Question Answering with Visualization-Referenced Instruction Tuning	10.1109/TVCG.2024.3456159	Emerging multimodal large language models (MLLMs) exhibit great potential for chart question answering (CQA). Recent efforts primarily focus on scaling up training datasets (i.e., charts, data tables, and question-answer (QA) pairs) through data collection and synthesis. However, our empirical study on existing MLLMs a...	false	true	[ "Xingchen Zeng", "Haichuan Lin", "Yilin Ye", "Wei Zeng" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/abs/2407.20174", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://github.com/zengxingchen/ChartQA-MLLM", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/p...
Vis	2,024	AdversaFlow: Visual Red Teaming for Large Language Models with Multi-Level Adversarial Flow	10.1109/TVCG.2024.3456150	Large Language Models (LLMs) are powerful but also raise significant security concerns, particularly regarding the harm they can cause, such as generating fake news that manipulates public opinion on social media and providing responses to unethical activities. Traditional red teaming approaches for identifying AI vuln...	true	true	[ "Dazhen Deng", "Chuhan Zhang", "Huawei Zheng", "Yuwen Pu", "Shouling Ji", "Yingcai Wu" ]	[ "HM" ]	[ "V", "O" ]	[ { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-1067.html", "icon": "other" }, { "name": "Fast Forward Video", "url": "https://youtu.be/NWnvzefxILM", "icon": "video" } ]
Vis	2,024	An Empirical Evaluation of the GPT-4 Multimodal Language Model on Visualization Literacy Tasks	10.1109/TVCG.2024.3456155	Large Language Models (LLMs) like GPT-4 which support multimodal input (i.e., prompts containing images in addition to text) have immense potential to advance visualization research. However, many questions exist about the visual capabilities of such models, including how well they can read and interpret visually repre...	true	true	[ "Alexander Bendeck", "John Stasko" ]	[]	[ "V", "O" ]	[ { "name": "Supplemental Material", "url": "https://doi.org/10.17605/OSF.IO/F39J6", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-1147.html", "icon": "other" }, { "name": "Fast Forward Video", "url": "https:...
Vis	2,024	Attention-Aware Visualization: Tracking and Responding to User Perception Over Time	10.1109/TVCG.2024.3456300	We propose the notion of attention-aware visualizations (AAVs) that track the user's perception of a visual representation over time and feed this information back to the visualization. Such context awareness is particularly useful for ubiquitous and immersive analytics where knowing which embedded visualizations the u...	false	true	[ "Arvind Srinivasan", "Johannes Ellemose", "Peter W. S. Butcher", "Panagiotis D. Ritsos", "Niklas Elmqvist" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/abs/2404.10732", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://osf.io/8mfhp/", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-148...
Vis	2,024	BEMTrace: Visualization-driven approach for deriving Building Energy Models from BIM	10.1109/TVCG.2024.3456315	Building Information Modeling (BIM) describes a central data pool covering the entire life cycle of a construction project. Similarly, Building Energy Modeling (BEM) describes the process of using a 3D representation of a building as a basis for thermal simulations to assess the building's energy performance. This pape...	true	true	[ "Andreas Walch", "Attila Szabo", "Harald Steinlechner", "Thomas Ortner", "Eduard Gröller", "Johanna Schmidt" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/abs/2407.19464", "icon": "paper" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-1307.html", "icon": "other" }, { "name": "Fast Forward Video", "url": "https://youtu.be/A...
Vis	2,024	Beware of Validation by Eye: Visual Validation of Linear Trends in Scatterplots	10.1109/TVCG.2024.3456305	Visual validation of regression models in scatterplots is a common practice for assessing model quality, yet its efficacy remains unquantified. We conducted two empirical experiments to investigate individuals' ability to visually validate linear regression models (linear trends) and to examine the impact of common vis...	false	true	[ "Daniel Braun", "Remco Chang", "Michael Gleicher", "Tatiana von Landesberger" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/abs/2407.11625", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://visva.cs.uni-koeln.de/en/publications/beware-of-validation-by-eye-visual-validation-of-linear-trends-in-scatterplots", "icon": "other" }, { ...
Vis	2,024	Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis	10.1109/TVCG.2024.3456369	Providing effective guidance for users has long been an important and challenging task for efficient exploratory visual analytics, especially when selecting variables for visualization in high-dimensional datasets. Correlation is the most widely applied metric for guidance in statistical and analytical tools, however a...	false	true	[ "Arran Zeyu Wang", "David Borland", "David Gotz" ]	[ "HM" ]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2408.16078v1", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://github.com/VACLab/Co-op", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper...
Vis	2,024	Blowing Seeds across Gardens: Visualizing Implicit Propagation of Cross-Platform Social Media Posts	10.1109/TVCG.2024.3456181	Propagation analysis refers to studying how information spreads on social media, a pivotal endeavor for understanding social sentiment and public opinions. Numerous studies contribute to visualizing information spread, but few have considered the implicit and complex diffusion patterns among multiple platforms. To brid...	false	true	[ "Jianing Yin", "Hanze Jia", "Buwei Zhou", "Tan Tang", "Lu Ying", "Shuainan Ye", "Tai-Quan Peng", "Yingcai Wu" ]	[]	[ "V", "O" ]	[ { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-1039.html", "icon": "other" }, { "name": "Fast Forward Video", "url": "https://youtu.be/orsYGZt1cWI", "icon": "video" } ]
Vis	2,024	CataAnno: An Ancient Catalog Annotator for Annotation Cleaning by Recommendation	10.1109/TVCG.2024.3456379	Classical bibliography, by researching preserved catalogs from both official archives and personal collections of accumulated books, examines the books throughout history, thereby revealing cultural development across historical periods. In this work, we collaborate with domain experts to accomplish the task of data an...	false	true	[ "Hanning Shao", "Xiaoru Yuan" ]	[ "HM" ]	[ "V", "O" ]	[ { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-1810.html", "icon": "other" }, { "name": "Fast Forward Video", "url": "https://youtu.be/JP2jrdeR04g", "icon": "video" } ]
Vis	2,024	Causal Priors and Their Influence on Judgements of Causality in Visualized Data	10.1109/TVCG.2024.3456381	"Correlation does not imply causation" is a famous mantra in statistical and visual analysis. However, consumers of visualizations often draw causal conclusions when only correlations between variables are shown. In this paper, we investigate factors that contribute to causal relationships users perceive in visualizati...	false	true	[ "Arran Zeyu Wang", "David Borland", "Tabitha C. Peck", "Wenyuan Wang", "David Gotz" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2408.16077v1", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://osf.io/dfkv4/?view_only=f84ffbc28cdf45e5a3d68f2f1e9c8427", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ie...
Vis	2,024	Cell2Cell: Explorative Cell Interaction Analysis in Multi-Volumetric Tissue Data	10.1109/TVCG.2024.3456406	We present Cell2Cell, a novel visual analytics approach for quantifying and visualizing networks of cell-cell interactions in three-dimensional (3D) multi-channel cancerous tissue data. By analyzing cellular interactions, biomedical experts can gain a more accurate understanding of the intricate relationships between c...	false	true	[ "Eric Mörth", "Kevin Sidak", "Zoltan Maliga", "Torsten Möller", "Nils Gehlenborg", "Peter Sorger", "Hanspeter Pfister", "Johanna Beyer", "Robert Krüger" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/preprints/osf/axy82", "icon": "paper" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-1615.html", "icon": "other" }, { "name": "Fast Forward Video", "url": "https://youtu.be...
Vis	2,024	Charting EDA: Characterizing Interactive Visualization Use in Computational Notebooks with a Mixed-Methods Formalism	10.1109/TVCG.2024.3456217	Interactive visualizations are powerful tools for Exploratory Data Analysis (EDA), but how do they affect the observations analysts make about their data? We conducted a qualitative experiment with 13 professional data scientists analyzing two datasets with Jupyter notebooks, collecting a rich dataset of interaction tr...	true	true	[ "Dylan Wootton", "Amy Rae Fox", "Evan Peck", "Arvind Satyanarayan" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2409.10450v1", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://osf.io/bu7je/", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-11...
Vis	2,024	CompositingVis: Exploring Interactions for Creating Composite Visualizations in Immersive Environments	10.1109/TVCG.2024.3456210	Composite visualization represents a widely embraced design that combines multiple visual representations to create an integrated view. However, the traditional approach of creating composite visualizations in immersive environments typically occurs asynchronously outside of the immersive space and is carried out by ex...	true	true	[ "Qian Zhu", "Tao Lu", "Shunan Guo", "Xiaojuan Ma", "Yalong Yang" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/abs/2408.02240", "icon": "paper" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-1150.html", "icon": "other" }, { "name": "Fast Forward Video", "url": "https://youtu.be/v...
Vis	2,024	Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments	10.1109/TVCG.2024.3456371	To deploy machine learning models on-device, practitioners use compression algorithms to shrink and speed up models while maintaining their high-quality output. A critical aspect of compression in practice is model comparison, including tracking many compression experiments, identifying subtle changes in model behavior...	true	true	[ "Angie Boggust", "Venkatesh Sivaraman", "Yannick Assogba", "Donghao Ren", "Dominik Moritz", "Fred Hohman" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2408.03274", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://github.com/apple/ml-compress-and-compare", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/20...
Vis	2,024	CSLens: Towards Better Deploying Charging Stations via Visual Analytics —— A Coupled Networks Perspective	10.1109/TVCG.2024.3456392	In recent years, the global adoption of electric vehicles (EVs) has surged, prompting a corresponding rise in the installation of charging stations. This proliferation has underscored the importance of expediting the deployment of charging infrastructure. Both academia and industry have thus devoted to addressing the c...	false	true	[ "Yutian Zhang", "Liwen Xu", "Shaocong Tao", "Quanxue Guan", "Quan Li", "Haipeng Zeng" ]	[]	[ "V", "O" ]	[ { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-1681.html", "icon": "other" }, { "name": "Fast Forward Video", "url": "https://youtu.be/qZcYIS995YE", "icon": "video" } ]
Vis	2,024	Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics	10.1109/TVCG.2024.3456353	Over the past decade, several urban visual analytics systems and tools have been proposed to tackle a host of challenges faced by cities, in areas as diverse as transportation, weather, and real estate. Many of these tools have been designed through collaborations with urban experts, aiming to distill intricate urban a...	false	true	[ "Gustavo Moreira", "Maryam Hosseini", "Carolina Veiga", "Lucas Alexandre", "Nicola Colaninno", "Daniel de Oliveira", "Nivan Ferreira", "Marcos Lage", "Fabio Miranda" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/abs/2408.06139", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://urbantk.org/curio", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full...
Vis	2,024	D-Tour: Semi-Automatic Generation of Interactive Guided Tours for Visualization Dashboard Onboarding	10.1109/TVCG.2024.3456347	Onboarding a user to a visualization dashboard entails explaining its various components, including the chart types used, the data loaded, and the interactions available. Authoring such an onboarding experience is time-consuming and requires significant knowledge and little guidance on how best to complete this task. D...	false	true	[ "Vaishali Dhanoa", "Andreas Hinterreiter", "Vanessa Fediuk", "Niklas Elmqvist", "Eduard Gröller", "Marc Streit" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/preprints/osf/t5m3u", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://osf.io/6fbjp/", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/paper_v-full-1...
Vis	2,024	DaedalusData: Exploration, Knowledge Externalization and Labeling of Particles in Medical Manufacturing — A Design Study	10.1109/TVCG.2024.3456329	In medical diagnostics of both early disease detection and routine patient care, particle-based contamination of in-vitro diagnostics consumables poses a significant threat to patients. Objective data-driven decision-making on the severity of contamination is key for reducing patient risk, while saving time and cost in...	false	true	[ "Alexander Wyss", "Gabriela Morgenshtern", "Amanda Hirsch-Hüsler", "Jürgen Bernard" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/abs/2408.04749", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://github.com/alexv710/DaedalusData---IEEE-VIS-Supplemental", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://iee...
Vis	2,024	DataGarden: Formalizing Personal Sketches into Structured Visualization Templates	10.1109/TVCG.2024.3456336	Sketching is a common practice among visualization designers and serves an approachable entry to data visualization for non-experts. However, moving from a sketch to a full fledged data visualization often requires throwing away the original sketch and recreating it from scratch. Our goal is to formalize these sketches...	false	true	[ "Anna Offenwanger", "Theophanis Tsandilas", "Fanny Chevalier" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "https://hal.science/hal-04664470/", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://datagarden-git.github.io/datagarden/", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/...
Vis	2,024	Defogger: A Visual Analysis Approach for Data Exploration of Sensitive Data Protected by Differential Privacy	10.1109/TVCG.2024.3456304	Differential privacy ensures the security of individual privacy but poses challenges to data exploration processes because the limited privacy budget incapacitates the flexibility of exploration and the noisy feedback of data requests leads to confusing uncertainty. In this study, we take the lead in describing corresp...	false	true	[ "Xumeng Wang", "Shuangcheng Jiao", "Chris Bryan" ]	[]	[ "P", "V", "O" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/abs/2407.19364", "icon": "paper" }, { "name": "Supplemental Material", "url": "https://github.com/Vanellope7/Defogger", "icon": "other" }, { "name": "IEEE VIS Conference Page", "url": "https://ieeevis.org/year/2024/program/...

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.