2021 IEEE Visualization Conference (VIS)最新文献_第5页

Jurassic Mark: Inattentional Blindness for a Datasaurus Reveals that Visualizations are Explored, not Seen 侏罗纪标记:数据库的无意失明揭示了可视化是探索的，而不是看到的

2021 IEEE Visualization Conference (VIS) Pub Date : 2021-08-09 DOI: 10.1109/VIS49827.2021.9623273

T. Boger, Steven B. Most, S. Franconeri

{"title":"Jurassic Mark: Inattentional Blindness for a Datasaurus Reveals that Visualizations are Explored, not Seen","authors":"T. Boger, Steven B. Most, S. Franconeri","doi":"10.1109/VIS49827.2021.9623273","DOIUrl":"https://doi.org/10.1109/VIS49827.2021.9623273","url":null,"abstract":"Graphs effectively communicate data because they capitalize on the visual system’s ability to rapidly extract patterns. Yet, this pattern extraction does not occur in a single glance. Instead, research on visual attention suggests that the visual system iteratively applies a sequence of filtering operations on an image, extracting patterns from subsets of visual information over time, while selectively inhibiting other information at each of these moments. To demonstrate that this powerful series of filtering operations also occurs during the perception of visualized data, we designed a task where participants made judgments from one class of marks on a scatterplot, presumably incentivizing them to relatively ignore other classes of marks. Participants consistently missed a conspicuous dinosaur in the ignored collection of marks (93% for a 1s presentation, and 61% for 2.5s), but not in a control condition where the incentive to ignore that collection was removed (25% for a 1s presentation, and 11% for 2.5s), revealing that data visualizations are not “seen” in a single glance, and instead require an active process of exploration.","PeriodicalId":387572,"journal":{"name":"2021 IEEE Visualization Conference (VIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130402905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Uncertainty Visualization of the Marching Squares and Marching Cubes Topology Cases 行进方形和行进立方体拓扑情况的不确定性可视化

2021 IEEE Visualization Conference (VIS) Pub Date : 2021-08-06 DOI: 10.1109/VIS49827.2021.9623267

Tushar M. Athawale, S. Sane, Chris R. Johnson

{"title":"Uncertainty Visualization of the Marching Squares and Marching Cubes Topology Cases","authors":"Tushar M. Athawale, S. Sane, Chris R. Johnson","doi":"10.1109/VIS49827.2021.9623267","DOIUrl":"https://doi.org/10.1109/VIS49827.2021.9623267","url":null,"abstract":"Marching squares (MS) and marching cubes (MC) are widely used algorithms for level-set visualization of scientific data. In this paper, we address the challenge of uncertainty visualization of the topology cases of the MS and MC algorithms for uncertain scalar field data sampled on a uniform grid. The visualization of the MS and MC topology cases for uncertain data is challenging due to their exponential nature and the possibility of multiple topology cases per cell of a grid. We propose the topology case count and entropy-based techniques for quantifying uncertainty in the topology cases of the MS and MC algorithms when noise in data is modeled with probability distributions. We demonstrate the applicability of our techniques for independent and correlated uncertainty assumptions. We visualize the quantified topological uncertainty via color mapping proportional to uncertainty, as well as with interactive probability queries in the MS case and entropy isosurfaces in the MC case. We demonstrate the utility of our uncertainty quantification framework in identifying the isovalues exhibiting relatively high topological uncertainty. We illustrate the effectiveness of our techniques via results on synthetic, simulation, and hixel datasets.","PeriodicalId":387572,"journal":{"name":"2021 IEEE Visualization Conference (VIS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122183933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Inspecting the Process of Bank Credit Rating via Visual Analytics 用可视化分析技术考察银行信用评级过程

2021 IEEE Visualization Conference (VIS) Pub Date : 2021-08-06 DOI: 10.1109/VIS49827.2021.9623312

Qiangqiang Liu, Quan Li, Zhihua Zhu, Tangzhi Ye, Xiaojuan Ma

引用次数: 3

On the Potential of Zines as a Medium for Visualization 论杂志作为可视化媒介的潜力

2021 IEEE Visualization Conference (VIS) Pub Date : 2021-08-04 DOI: 10.1109/VIS49827.2021.9623294

A. Mcnutt

引用次数: 4

Towards a Survey on Static and Dynamic Hypergraph Visualizations 静态和动态超图可视化研究综述

2021 IEEE Visualization Conference (VIS) Pub Date : 2021-07-29 DOI: 10.1109/VIS49827.2021.9623305

M. Fischer, A. Frings, D. Keim, Daniel Seebacher

{"title":"Towards a Survey on Static and Dynamic Hypergraph Visualizations","authors":"M. Fischer, A. Frings, D. Keim, Daniel Seebacher","doi":"10.1109/VIS49827.2021.9623305","DOIUrl":"https://doi.org/10.1109/VIS49827.2021.9623305","url":null,"abstract":"Leveraging hypergraph structures to model advanced processes has gained much attention over the last few years in many areas, ranging from protein-interaction in computational biology to image retrieval using machine learning. Hypergraph models can provide a more accurate representation of the underlying processes while reducing the overall number of links compared to regular representations. However, interactive visualization methods for hypergraphs and hypergraph-based models have rarely been explored or systematically analyzed. This paper reviews the existing research landscape for hypergraph and hypergraph model visualizations and assesses the currently employed techniques. We provide an overview and a categorization of proposed approaches, focusing on performance, scalability, interaction support, successful evaluation, and the ability to represent different underlying data structures, including a recent demand for a temporal representation of interaction networks and their improvements beyond graph-based methods. Lastly, we discuss the strengths and weaknesses of the approaches and give an insight into the future challenges arising in this emerging research field.","PeriodicalId":387572,"journal":{"name":"2021 IEEE Visualization Conference (VIS)","volume":"403 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122508311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Time-Varying Fuzzy Contour Trees 时变模糊轮廓树

2021 IEEE Visualization Conference (VIS) Pub Date : 2021-07-27 DOI: 10.1109/VIS49827.2021.9623286

A. Lohfink, Frederike Gartzky, Florian Wetzels, Luisa Vollmer, C. Garth

引用次数: 3

Exact Analytical Parallel Vectors 精确解析平行向量

2021 IEEE Visualization Conference (VIS) Pub Date : 2021-07-06 DOI: 10.1109/VIS49827.2021.9623310

Hanqi Guo, T. Peterka

引用次数: 0

AiR: An Augmented Reality Application for Visualizing Air Pollution AiR:用于可视化空气污染的增强现实应用

2021 IEEE Visualization Conference (VIS) Pub Date : 2020-06-03 DOI: 10.1109/VIS49827.2021.9623287

N. Mathews, S. Chimalakonda, Suresh Jain

引用次数: 7