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Alternative text is critical in communicating graphics to people who are blind or have low vision. Especially for graphics that contain rich information, such as visualizations, poorly written or an absence of alternative texts can worsen…

Human-Computer Interaction · Computer Science 2021-08-10 Crescentia Jung , Shubham Mehta , Atharva Kulkarni , Yuhang Zhao , Yea-Seul Kim

Observing the relationship between two or more variables over space and time is essential in many domains. For instance, looking, for different countries, at the evolution of both the life expectancy at birth and the fertility rate will…

Human-Computer Interaction · Computer Science 2019-10-16 Vanessa Peña-Araya , Emmanuel Pietriga , Anastasia Bezerianos

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…

Human-Computer Interaction · Computer Science 2026-04-10 Md Dilshadur Rahman , Ghulam Jilani Quadri , Bhavana Doppalapudi , Danielle Albers Szafir , Paul Rosen

We present encube $-$ a qualitative, quantitative and comparative visualisation and analysis system, with application to high-resolution, immersive three-dimensional environments and desktop displays. encube extends previous comparative…

The information technology explosion has dramatically increased the application of new mathematical ideas and has led to an increasing use of mathematics across a wide range of fields that have been traditionally labeled "pure" or…

History and Overview · Mathematics 2018-09-18 Katherine Gravel , Hayden Jananthan , Jeremy Kepner

We report on a systematic, PRISMA-guided survey of research at the intersection of LLMs and visualization, with a particular focus on visio-verbal interaction -- where verbal and visual modalities converge to support data sense-making. The…

Human-Computer Interaction · Computer Science 2026-02-04 Mathis Brossier , Tobias Isenberg , Konrad Schönborn , Jonas Unger , Mario Romero , Johanna Björklund , Anders Ynnerman , Lonni Besançon

Despite the success of a number of recent techniques for visual self-supervised deep learning, there has been limited investigation into the representations that are ultimately learned. By leveraging recent advances in the comparison of…

Computer Vision and Pattern Recognition · Computer Science 2021-12-06 Tom George Grigg , Dan Busbridge , Jason Ramapuram , Russ Webb

Explanations for computer vision models are important tools for interpreting how the underlying models work. However, they are often presented in static formats, which pose challenges for users, including information overload, a gap between…

Human-Computer Interaction · Computer Science 2025-04-16 Indu Panigrahi , Sunnie S. Y. Kim , Amna Liaqat , Rohan Jinturkar , Olga Russakovsky , Ruth Fong , Parastoo Abtahi

We present a systematic review, an empirical study, and a first set of considerations for designing visualizations in motion, derived from a concrete scenario in which these visualizations were used to support a primary task. In practice,…

Human-Computer Interaction · Computer Science 2024-09-16 Lijie Yao , Federica Bucchieri , Victoria McArthur , Anastasia Bezerianos , Petra Isenberg

Layout is a fundamental component of any graphic design. Creating large varieties of plausible document layouts can be a tedious task, requiring numerous constraints to be satisfied, including local ones relating different semantic elements…

Computer Vision and Pattern Recognition · Computer Science 2020-04-20 Akshay Gadi Patil , Omri Ben-Eliezer , Or Perel , Hadar Averbuch-Elor

The availability of open data and of tools to create visualizations on top of these open datasets have led to an ever-growing amount of geovisualizations on the Web. There is thus an increasing need for techniques to make geovisualizations…

Information Retrieval · Computer Science 2021-11-16 Auriol Degbelo

We present a comprehensive survey on the use of annotations in information visualizations, highlighting their crucial role in improving audience understanding and engagement with visual data. Our investigation encompasses empirical studies…

Human-Computer Interaction · Computer Science 2026-04-10 Md Dilshadur Rahman , Bhavana Doppalapudi , Ghulam Jilani Quadri , Paul Rosen

Understanding convergent learning -- the degree to which independently trained neural systems -- whether multiple artificial networks or brains and models -- arrive at similar internal representations -- is crucial for both neuroscience and…

Neurons and Cognition · Quantitative Biology 2026-01-26 Chaitanya Kapoor , Sudhanshu Srivastava , Meenakshi Khosla

The promise of visualization recommendation systems is that analysts will be automatically provided with relevant and high-quality visualizations that will reduce the work of manual exploration or chart creation. However, little research to…

Human-Computer Interaction · Computer Science 2022-02-04 Calvin Bao , Siyao Li , Sarah Flores , Michael Correll , Leilani Battle

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…

Human-Computer Interaction · Computer Science 2024-10-18 Arran Zeyu Wang , David Borland , David Gotz

Network visualizations are commonly used to analyze relationships in various contexts. To efficiently explore a network visualization, the user needs to quickly navigate to different parts of the network and analyze local details. Recent…

Human-Computer Interaction · Computer Science 2023-03-29 Helen H. Huang , Hanspeter Pfister , Yalong Yang

We present a novel approach to visually locate bodies of research within the sciences, both at each moment of time and dynamically. This article describes how this approach fits with other efforts to locally and globally map scientific…

Digital Libraries · Computer Science 2009-12-22 Ismael Rafols , Alan L. Porter , Loet Leydesdorff

General visualization recommendation systems typically make design decisions for the dataset automatically. However, most of them can only prune meaningless visualizations but fail to recommend targeted results. This paper contributes…

Human-Computer Interaction · Computer Science 2022-09-15 Leixian Shen , Enya Shen , Zhiwei Tai , Yihao Xu , Jianmin Wang

The intersection of visualization and the humanities (VIS*H) is marked by a tension between chasing analytical "insight" and interpretive "meaning." The effectiveness of visualization techniques hinges on established evaluation frameworks…

Human-Computer Interaction · Computer Science 2026-01-29 Alejandro Benito-Santos , Florian Windhager , Aida Horaniet Ibañez , Rabea Kleymann , Alfie Abdul-Rahman , Eva Mayr

Multimodal deep-learning models power interactive video retrieval by ranking keyframes in response to textual queries. Despite these advances, users must still browse ranked candidates manually to locate a target. Keyframe arrangement…

Multimedia · Computer Science 2025-10-07 Bastian Jäckl , Jiří Kruchina , Lucas Joos , Daniel A. Keim , Ladislav Peška , Jakub Lokoč