22 papers · ranked by Valyu relevance
Huyen N. Nguyen, Nils Gehlenborg
Having established primary facets that define visualization construction, our framework now addresses derived properties: features extracted or computed from the resulting visualization. This characterization aligns with the role of visualization in visual analytics (VA) workflows: providing the means for communicating…
Kim Marriott, Matthew Butler, Leona Holloway, B. Jolley + 3 more
—Tactile graphics are widely used to present maps and statistical diagrams to blind and low vision (BLV) people, with accessibility guidelines recommending their use for graphics where spatial relationships are important. Their use is expected to grow with the advent of commodity refreshable tactile displays. However…
Hector Torres, Efe Ozturk, Zhou Fang, Nicholas Zhang + 4 more
Biomedical data visualization is critical for interpreting complex datasets, yet the clarity and quality of visualizations vary widely across tools and applications. This study introduces a comprehensive framework for evaluating biomedical figures and benchmarking visualization platforms. We developed Metrics for…
Muhammad Zain Butt, Rana Sheraz Ahmad, Eman Fatima, Muhammad Tahir ul Qamar
The application of Large Language Models (LLMs) for generating data visualizations through natural language interaction represents a promising advance in AI-assisted scientific analysis. However, existing LLM-based tools largely emphasize graph generation, while research workflows require not only visualization but…
Annie G. Bryant
Recent years have seen an expanding repertoire of code-based tools for visualizing neuroimaging data, promoting reproducibility and interpretability of brain-mapping findings. However, most open-source visualization packages for the human brain are geared toward the cerebral cortex, and the comparatively few options…
Liza Hadley, Nick Holliman, Kai Xu, Edyta Bogucka + 5 more
Communicating scientific ideas to policy actors is a longstanding challenge, especially in epidemiological modeling where evidence is inherently uncertain. Central to this communication is visualization-the graphic representation of complex epidemiological modeling concepts through figures, plots, and charts. Effective…
Wouter Meulemans
Information visualization is inherently a field that brings together various research domains. Roughly speaking, we may identify two perspectives: the design perspective, revolving around how to ensure that a human can work effectively with the visual representations of data and the tools that offer them, and the…
Jie Guo, Huiyuan Shi, Yucheng Kong, Jiazhen Du + 3 more
The intersection between mental maps and visualization has attracted increasing research attention in recent years, as they exhibit a natural functional complementarity. Mental maps research explores how humans construct in-mind representations of the external world through the view of cognitive science, while…
Authors not listed
For decades, molecular visualization software has been fundamental to education and research in chemistry, structural biology, and materials science. These tools have enabled the inspection of structures, dynamics, and interactions, yet their reliance on two-dimensional (2D) interfaces imposes persistent limitations.…
Ouxun Jiang, Camillia Matuk, Madhumitha Gopalakrishnan, Wen Xu + 5 more
Data visualizations are used widely to help people see patterns in data across research, policy, education, and business. Computer screens allow these visualizations to become animated, which can effectively show processes of change. While animations can be engaging, ineffective design can also make them confusing or…
Manusha Karunathilaka, Zhang, Songheng, Anthony Tang + 3 more
In recent years, dark mode has gained popularity across mobile platforms like Android and iOS due to its benefits, such as reduced eye strain in low-light conditions and prolonged battery life on OLED and AMOLED screens [1, [16]]. Dark mode is a user interface (UI) theme that uses a dark background with light text, as…
Frank Elavsky, Chieri Nnadozie, Lucas Nadolskis, Patrick Carrington + 1 more
When sighted practitioners author accessible data visualizations, they build navigation structures (the nodes, edges, and input bindings that govern how assistive technologies traverse an interface) entirely in code, with no visual representation. Without a representation to react to, practitioners cannot develop…
Authors not listed
Here, we present MolPic, an open-source Python-based software that can be used to generate high-resolution, publication-quality molecular figures directly from compound names or SMILES strings. MolPic supports single-molecule rendering, batch processing, and automated multi-panel 2D figure generation, which are…
Authors not listed
Nuclear magnetic resonance (NMR) spectroscopy is a powerful analytical tool that can be used to determine the structures of both small organic molecules and large biomacromolecules. Many undergraduate students are exposed to NMR spectral analysis during organic chemistry courses, but few students have the opportunity…
Ethan J. Grove, Trevor Hewitt, Anil K. Seth, Fiona Macpherson + 1 more
Visual hallucinations (VHs) occur across psychedelic states and diverse psychiatric and neurological conditions, yet their phenomenology remains difficult to characterise. Empirical research on VHs is hindered by the lack of large-scale phenomenological datasets, which limits both mechanistic accounts and the…
Daniel Jimenez Gil, Haosen Zhang, Zixin Wang, Mohamad Alipour
Visual bridge inspection is a knowledge-intensive task in which inspectors coordinate visual search, spatial navigation, structural reasoning, and defect identification and documentation. It is a central maintenance task for bridges and a key basis for safety assessments, yet its results are susceptible to individual…
John E. Kiat, Steven J. Luck
Visual working memory is essential for navigating through and interacting with complex real-world environments. It is therefore important to understand how natural visual inputs—characterized by complex contours, continuously varying feature gradients, and spatial relationships—are represented in working memory.…
Authors not listed
We present burbuja (Baring Unseen Regions of Bubbles Using Joint-Density Analysis), an automated software tool for detecting and characterizing gas bubbles and other local voids in molecular structures and trajectories containing explicit aqueous solvent. We describe the burbuja algorithm and demonstrate its accuracy…
Claire Vanbuckhave, Giorgio Ganis
Previous studies suggest that visual mental imagery (VMI) acts as a weaker form of top-down visual perception (VP), with the two becoming more similar as VMI vividness increases. However, this relationship remains ill-defined, and it is unclear precisely how much weaker VMI is relative to VP. Here, we introduce an…
Ritsuko Nabata, Mitsuki Niida, Kosaku Takahashi, Kenji Ogawa
Eidetic imagery is experienced as “seen” in external space, unlike typical visual mental imagery, which occurs in the mind’s eye. To investigate whether eidetic imagery and perception share common neural substrates, we measured brain activity in eidetikers and typical imagers using fMRI while they performed perception…
Rania Qais, Robert T. Knight, Shlomit Yuval-Greenberg
Visual working memory (VWM) is traditionally studied while constraining eye movements and limiting access to visual input, yet in natural vision humans constantly explore and resample their environment. Only a few studies have examined VWM utilization when participants were allowed to interact with the environment and…
Authors not listed
Understanding the spatial organization and dynamics of physicochemical processes in operating catalytic reactors is essential for optimizing their performance. Unfortunately, the power of NMR-based techniques is significantly impaired in such studies due to severe broadening and distortions of NMR signals caused by the…