Morse complexes and Morse-Smale complexes are topological descriptors popular in topology-based visualization. Comparing these complexes plays an important role in their applications in feature correspondences, featur...
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ISBN:
(纸本)9798350325577
Morse complexes and Morse-Smale complexes are topological descriptors popular in topology-based visualization. Comparing these complexes plays an important role in their applications in feature correspondences, feature tracking, symmetry detection, and uncertainty visualization. Leveraging recent advances in optimal transport, we apply a class of optimal transport distances to the comparative analysis of Morse complexes. Contrasting with existing comparative measures, such distances are easy and efficient to compute, and naturally provide structural matching between Morse complexes. We perform an experimental study involving scientific simulation datasets and discuss the effectiveness of these distances as comparative measures for Morse complexes. We also provide an initial guideline for choosing the optimal transport distances under various data assumptions.
Periodically occurring accumulations of events or measured values are present in many time-dependent datasets and can be of interest for analyses. The frequency of such periodic behavior is often not known in advance,...
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ISBN:
(纸本)9798350325577
Periodically occurring accumulations of events or measured values are present in many time-dependent datasets and can be of interest for analyses. The frequency of such periodic behavior is often not known in advance, making it difficult to detect and tedious to explore. Automated analysis methods exist, but can be too costly for smooth, interactive analysis. We propose a compact visual representation that reveals periodicity by showing a phase histogram for a given period length that can be used standalone or in combination with other linked visualizations. Our approach supports guided, interactive analyses by suggesting other period lengths to explore, which are ranked based on two quality measures. We further describe how the phase can be mapped to visual representations in other views to reveal periodicity there.
To mitigate artifacts and performance degradation in neural implicit representation visualization for unconstrained viewpoint rendering, we propose a feature voxel grid-based neural representation architecture. This a...
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ISBN:
(纸本)9798350374490;9798350374506
To mitigate artifacts and performance degradation in neural implicit representation visualization for unconstrained viewpoint rendering, we propose a feature voxel grid-based neural representation architecture. This approach flexibly encodes the implicit surface with multiple levels of detail, facilitating high-quality rendering with dynamic switching between detail levels. Additionally, we implement a range-limited strategy to concentrate on sampling valid areas while excluding undefined areas. Our results in unconstrained viewpoint scenarios demonstrate the effectiveness of our method. This work extends the capabilities of neural implicit representations, broadening their potential applications beyond previously defined limitations.
As software systems grow, environments that not only facilitate program comprehension through software visualization but also enable collaborative exploration of software systems become increasingly important. Most ap...
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ISBN:
(纸本)9798331528492;9798331528485
As software systems grow, environments that not only facilitate program comprehension through software visualization but also enable collaborative exploration of software systems become increasingly important. Most approaches to software visualization focus on a single monitor as a visual output device, which offers limited immersion and lacks in potential for collaboration. More recent approaches address augmented and virtual reality environments to increase immersion and enable collaboration to facilitate program comprehension. We present a novel approach to software visualization with software cities that fills a gap between existing approaches by using multiple displays or projectors. Thereby, an increase in screen real estate and new use case scenarios for co-located environments are enabled. Our web-based live trace visualization tool ExplorViz is extended with a service to synchronize the visualization across multiple browser instances. Multiple browser instances can then extend or complement each other's views with respect to a given configuration. The ARENA2, a spatially immersive visualization environment with five projectors, is used to showcase our approach. A preliminary study indicates that this environment can be useful for collaborative exploration of software cities. This publication is accompanied by a video. In addition, our implementation is open source and we invite other researchers to explore and adapt it for their use cases. Video URL: https://***/OiutBn3zIl8
We propose an interactive visual analytics tool, Vis-SPLIT, for partitioning a population of individuals into groups with similar gene signatures. Vis-SPLIT allows users to interactively explore a dataset and exploit ...
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ISBN:
(纸本)9798350325577
We propose an interactive visual analytics tool, Vis-SPLIT, for partitioning a population of individuals into groups with similar gene signatures. Vis-SPLIT allows users to interactively explore a dataset and exploit visual separations to build a classification model for specific cancers. The visualization components reveal gene expression and correlation to assist specific partitioning decisions, while also providing overviews for the decision model and clustered genetic signatures. We demonstrate the effectiveness of our framework through a case study and evaluate its usability with domain experts. Our results show that Vis-SPLIT can classify patients based on their genetic signatures to effectively gain insights into RNA sequencing data, as compared to an existing classification system.
Constructive visualization uses physical data units - tokens - to enable non-experts to create personalized visualizations engagingly. However, its physical nature limits efficiency and scalability. One potential solu...
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ISBN:
(纸本)9798350325577
Constructive visualization uses physical data units - tokens - to enable non-experts to create personalized visualizations engagingly. However, its physical nature limits efficiency and scalability. One potential solution to address this issue is autocomplete. By providing automated suggestions while still allowing for manual intervention, autocomplete can expedite visualization construction while maintaining expressivity. We conduct a speculative design study to examine how people would like to interact with a visualization authoring system that supports autocomplete. Our study identifies three types of autocomplete strategies and gains insights for designing future visualization authoring tools with autocomplete functionality.A free copy of this paper and all supplemental materials are available on our online repository: https://***/nu4z3/?view_only= 594baee54d114a99ab381886fb32a126.
Insights are often considered the ideal outcome of visual analysis sessions. However, there is no single definition of what an insight is. Some scholars define insights as correlations, while others define them as hyp...
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ISBN:
(纸本)9798350325577
Insights are often considered the ideal outcome of visual analysis sessions. However, there is no single definition of what an insight is. Some scholars define insights as correlations, while others define them as hypotheses or aha moments. This lack of a clear definition can make it difficult to build visualization tools that effectively support insight discovery. In this paper, we contribute a comprehensive literature review that maps the landscape of existing insight definitions. We summarize key themes regarding how insight is defined, with the goal of helping readers identify which definitions of insight align closely with their research and tool development goals. Based on our review, we also suggest interesting research directions, such as synthesizing a unified formalism for insight and connecting theories of insight to other critical concepts in visualization research.
Authoring data-driven articles is a complex process requiring authors to not only analyze data for insights but also craft a cohesive narrative that effectively communicates the insights. Text generation capabilities ...
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ISBN:
(纸本)9798350325577
Authoring data-driven articles is a complex process requiring authors to not only analyze data for insights but also craft a cohesive narrative that effectively communicates the insights. Text generation capabilities of contemporary large language models (LLMs) present an opportunity to assist the authoring of data-driven articles and expedite the writing process. In this work, we investigate the feasibility and perceived value of leveraging LLMs to support authors of data-driven articles. We designed a prototype system, DATATALES, that leverages a LLM to generate textual narratives accompanying a given chart. Using DATATALES as a design probe, we conducted a qualitative study with 11 professionals to evaluate the concept, from which we distilled affordances and opportunities to further integrate LLMs as valuable data-driven article authoring assistants.
The rise in cybercriminals exploiting web application vulnerabilities in recent years has intensified the need to strengthen security protocols throughout the software development life cycle (SDLC). However, applicati...
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ISBN:
(纸本)9798350387544;9798350387537
The rise in cybercriminals exploiting web application vulnerabilities in recent years has intensified the need to strengthen security protocols throughout the software development life cycle (SDLC). However, application security visualization remains a largely unexplored field. The current state of the art typically focuses on presenting data from a single type of security tool. This work introduces an innovative prototype solution that allows security experts to visualize aggregated application-related security data from multiple security tools. This integrated and comprehensive view of an application's security posture enables more informed, data-driven decisions regarding security practices during application development.
In this paper, we explore the effectiveness of tactile data encodings using swell paper in comparison to visual encodings displayed with SVGs for data perception tasks. By replicating and adapting Cleveland and McGill...
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ISBN:
(纸本)9798350325577
In this paper, we explore the effectiveness of tactile data encodings using swell paper in comparison to visual encodings displayed with SVGs for data perception tasks. By replicating and adapting Cleveland and McGill's graphical perception study for the tactile modality, we establish a novel tactile encoding hierarchy. In a study with 12 university students, we found that participants perceived visual encodings more accurately when comparing values, judging their ratios with lower cognitive load, and better self-evaluated performance than tactile encodings. However, tactile encodings differed from their visual counterparts in terms of how accurately values could be decoded from them. This suggests that data physicalizations will require different design guidance than that developed for visual encodings. By providing empirical evidence for the perceptual accuracy of tactile encodings, our work contributes to foundational research on forms of data representation that prioritize tactile perception such as tactile graphics.
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