Similarity-based layouts generated by multidimensional projections or other dimension reduction techniques are commonly used to visualize high-dimensional data. Many projection have been recently proposed addressing different objectives and application domains. Nonetheless, very little is known about the effectiveness of from a user's perspective, how distinct same data compare regarding typical visualization tasks they support, domain-specific issues affect outcome techniques. Learning more...

Abstract Visualization of high‐dimensional data requires a mapping to visual space. Whenever the goal is preserve similarity relations frequent strategy use 2D projections, which afford intuitive interactive exploration, e.g., by users locating and selecting groups gradually drilling down individual objects. In this paper, we propose framework for projecting 3D spaces, based on generalization Least‐Square Projection (LSP). We compare projections spaces both quantitatively through user study...

Multidimensional data impose a challenge for visual analyses. Commonly, dimensionality reduction techniques are used to project the multidimensional into 2D space. Poco et al. [9] showed that projection 3D space can increase performance of common analysis tasks due higher precision. They also backed up their findings with user study. However, when conducting study they displayed on screen, which may impede correct perception third dimension. In this paper, we present investigates effect...

The objective of this research is to build and demonstrate a design tool in Virtual Reality (VR) environment. goal the streamline assembly planning complex systems. As case study, we have generated virtual reality environment for an simulation zero-G treadmill use on spacecraft. This study will help understand VR model that might lead assembler optimize related costs. has been created using Unity 3D along with Solidworks creating models Treadmill parts. A series controlled user studies done...

Coronavirus disease 2019 (COVID-19) started in Wuhan, China, late 2019, and after being utterly contagious Asian countries, it rapidly spread to other countries. This caused governments worldwide declare a public health crisis with severe measures taken reduce the speed of disease. pandemic affected lives millions people. Many citizens that lost their loved ones jobs experienced wide range emotions, such as disbelief, shock, concerns about health, fear food supplies, anxiety, panic. All...

A common strategy for visual encoding of multidimensional data analyses is to use dimensionality reduction. Each point projected a 2D using certain the layout. Many layout strategies have been proposed addressing different objectives and targeted at distinct domains applications. The resulting information typically displayed in form scatterplots. user's perspective such as role attention guidance respective task has not addressed much. It goal this work investigate, how characteristics...

A common strategy for encoding multidimensional data visual analysis is to use dimensionality reduction techniques that project with a very large number of objects and dimensions from higher onto lower-dimensional space. In analytics tasks, the density clusters can strongly affect how these are perceived. However, this feature be lost when dataset projected into 2D space, adversely affecting effectiveness tasks. Thus, it makes sense preserve, as far possible, information about during...

When investigating multidimensional data sets with very large numbers of objects and/or a number dimensions, variety visualization methods can be employed in order to represent the effectively and enable user explore at different levels detail. A common strategy for encoding visual analysis is use dimensionality reduction techniques that project from higher dimensions onto lower-dimensional space. In this paper, we focus on projection output 2D or 3D scatterplots which then used range tasks....

Gas leaks in cities with older infrastructure are relatively common. The unburned methane which they release is a potent greenhouse gas harmful health effects. Using administrative municipal data on leak reports, we provide systematic analysis of residential New York City and their association socioeconomic inequality. We find that both the reporting prevalence resulting shutoffs strongly structured by already existing inequalities across neighborhoods. Therefore, argue urban areas an...

Visualization of high-dimensional data requires a mapping to visual space. Whenever the goal is preserve similarity relations, multidimensional projections or other dimension reduction techniques are commonly used project point 2D using certain strategy for layout.Typical analysis tasks projected do not necessarily match expectations human perception. Learning more about effectiveness projection layouts from users perspective an important step towards consolidating their role in supporting...

A common strategy for encoding multidimensional data visual analysis is to use dimensionality reduction techniques that project from higher dimensions onto a lower-dimensional space. This article examines the of motion retain an accurate representation point density clusters might otherwise be lost when dataset projected into two-dimensional Specifically, we consider different types density-based motion, where magnitude directly related clusters. We investigate how users interpret in...

One of the most important activities Latin scholars is to analyze fragmentary copies a Classical text and assemble an annotated reconstruction as conjecture about its original form. We have developed pixel-based visual analysis tool help visualize evolution historic details alterations errors introduced in transcription. Coordination visualizations with focus +context navigation across multiple views allows compact representation variation scales structure. This approach helps validate...

Analysis of eye-gaze is a critical tool for studying human-computer interaction and visualization. Yet eye tracking systems only report on the scene by producing large volumes coordinate time series data. To be able to use this data, we must first extract salient events such as fixations, saccades, post-saccadic oscillations (PSO). Manually extracting these time-consuming, labor-intensive subject variability. In paper, present evaluate simple fast automatic solutions analysis based...

Abstract Understanding the academic performance of students in colleges is an essential topic Education research field. Educators, program coordinators and professors are interested understanding how learning specific topics, topics may influence other students’ grades/attendances each course represent important indicators to measure their performance, among tasks. The use data visualization analytics expanding education institutions perform a variety tasks related processing gaining into...

Node-link diagrams are widely used for visualizing relational data in a wide range of fields. However, many situations it is useful to provide set membership information elements networks. We present BranchingSets, an interactive visualization technique that uses visual encodings similar Kelp Diagrams order augment traditional node-link with about the categories both nodes and links belong to. BranchingSets introduces novel user-driven methods procedurally navigate graph topology...

This paper introduces new terminology to describe the perceptual qualities of non-photorealistic animation sequences created using an analysis/synthesis approach rendering. Specifically, we propose use different matching optimization criteria as part creative control for generating animated sequences, or stylized video, and explore differences that are obtained when used. Additionally, metrics introduced strengths weakness each these strategies. Moreover, show may be useful future...

This paper explores the specialized nature of research-oriented web applications that enable interactions with and visual analysis ``Big Data,'' i.e., large, heterogeneous scientific datasets. We introduce a pragmatic methodology for design evaluation workflows in applications. Through an in-depth usability study CoGe application, system provides rich set tools exploring genomic datasets, we demonstrate: how to identify bottlenecks multi-step tasks; analyze these order provide effective...

The ability of the human mind to perceive visual informationmakes visualization not only useful, but a powerful toolfor information discovery. Answering questions about complexrelationships requires analyst choose statistical analysistechnique that makes relationships visually discernible. Oftenthe proper technique is dependent on characteristics thedataset, such as dependency among variables, sample size, andtypes data (ordinal or categorical). In this work, we proposea web based interface...

Understanding the academic performance of students in colleges is an essential topic Education research field. Educators, program coordinators and professors are interested understanding how learning specific topics, topics may influence other students' grades/attendances each course represent important indicators to measure their performance, among tasks. In this paper, we present a visual analytic tool that combines data visualization machine techniques perform some analysis from courses....

The objective of this research is to develop a web-based visualization tool that used for analyzing an assembly in Virtual Reality (VR) environment. As case study, we have generated virtual reality environment simulation zero-G treadmill use on spacecraft. A series controlled user studies has been done investigate the role different visual cues (image and text) performance while performing manual immersive VR setting (VIVE headset) non-immersive (desktop). However, paper focuses will help...