2019 IEEE Visualization Conference (VIS)最新文献_第3页

Visualization of Symmetries in Fourth-Order Stiffness Tensors 四阶刚度张量对称性的可视化

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-10-01 DOI: 10.1109/VISUAL.2019.8933592

Chiara Hergl, T. Nagel, O. Kolditz, G. Scheuermann

{"title":"Visualization of Symmetries in Fourth-Order Stiffness Tensors","authors":"Chiara Hergl, T. Nagel, O. Kolditz, G. Scheuermann","doi":"10.1109/VISUAL.2019.8933592","DOIUrl":"https://doi.org/10.1109/VISUAL.2019.8933592","url":null,"abstract":"Many materials like wood, biological tissue, composites or rock have anisotropic mechanical properties. They become increasingly important in modern material, earth, and life sciences. The stress-strain response of such materials can be characterized (to first-order) by the three-dimensional fourth-order stiffness tensor. There are different anisotropy classes, i.e. material symmetries, that differ in the number and orientation of symmetry planes characteristic of the material. A three-dimensional fourth-order stiffness tensor of a hyperelastic material has up to 21 independent coefficients representing both moduli and orientation information which challenges any visualization method. Therefore, we use a fourth-order tensor decomposition to compute the anisotropy classes and the position of the corresponding symmetry planes. To facilitate judgment of the significance of the amount of anisotropy, we construct an isotropic material. Based on these computations, we design a glyph that represents the stiffness tensor. We demonstrate our method in a finite deformation setting of an initially isotropic hyperelastic material of Ogden class which is often modeling biological tissue. Upon deformation, the stiffness tensor can evolve along with its symmetry creating an inhomogeneous, unsteady fourth-order tensor field in three dimensions.","PeriodicalId":192801,"journal":{"name":"2019 IEEE Visualization Conference (VIS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121601051","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: 6

OCTVis: Ontology-Based Comparison of Topic Models OCTVis:基于本体的主题模型比较

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-10-01 DOI: 10.1109/VISUAL.2019.8933646

Amon Ge, Hyeju Jang, G. Carenini, K. Ho, Young ji Lee

引用次数: 3

VisWall: Visual Data Exploration Using Direct Combination on Large Touch Displays VisWall:在大型触摸显示器上使用直接组合的可视化数据探索

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-10-01 DOI: 10.1109/VISUAL.2019.8933673

Mallika Agarwal, Arjun Srinivasan, J. Stasko

{"title":"VisWall: Visual Data Exploration Using Direct Combination on Large Touch Displays","authors":"Mallika Agarwal, Arjun Srinivasan, J. Stasko","doi":"10.1109/VISUAL.2019.8933673","DOIUrl":"https://doi.org/10.1109/VISUAL.2019.8933673","url":null,"abstract":"An increasing number of data visualization tools are being designed for touch-based devices ranging from smartwatches to large wall-sized displays. While most of these tools have focused on exploring novel techniques to manually specify visualizations, recent touch-based visualization systems have begun to explore interface and interaction techniques for attribute-based visualization recommendations as a way to aid users (particularly novices) during data exploration. Advancing this line of work, we present a visualization system, VisWall, that enables visual data exploration in both single user and co-located collaborative settings on large touch displays. Coupling the concepts of direct combination and derivable visualizations, VisWall enables rapid construction of multivariate visualizations using attributes of previously created visualizations. By blending visualization recommendations and naturalistic interactions, VisWall seeks to help users visually explore their data by allowing them to focus more on aspects of the data (particularly, data attributes) rather than specifying and reconfiguring visualizations. We discuss the design, interaction techniques, and operations employed by VisWall along with a scenario of how these can be used to facilitate various tasks during visual data exploration.","PeriodicalId":192801,"journal":{"name":"2019 IEEE Visualization Conference (VIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121034244","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: 6

Designing Visual Guides for Casual Listeners of Live Orchestral Music 为现场管弦乐的临时听众设计视觉指南

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-10-01 DOI: 10.1109/VISUAL.2019.8933734

Catherine Solis, Fahimeh Rajabiyazdi, Fanny Chevalier

引用次数: 0

Hi-D Maps: An Interactive Visualization Technique for Multi-Dimensional Categorical Data 高清晰地图:多维分类数据的交互式可视化技术

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-10-01 DOI: 10.1109/VISUAL.2019.8933709

Radi Muhammad Reza, Benjamin Watson

引用次数: 4

TeleGam: Combining Visualization and Verbalization for Interpretable Machine Learning TeleGam:可视化和语言化相结合的可解释性机器学习

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-10-01 DOI: 10.1109/VISUAL.2019.8933695

Fred Hohman, Arjun Srinivasan, S. Drucker

{"title":"TeleGam: Combining Visualization and Verbalization for Interpretable Machine Learning","authors":"Fred Hohman, Arjun Srinivasan, S. Drucker","doi":"10.1109/VISUAL.2019.8933695","DOIUrl":"https://doi.org/10.1109/VISUAL.2019.8933695","url":null,"abstract":"While machine learning (ML) continues to find success in solving previously-thought hard problems, interpreting and exploring ML models remains challenging. Recent work has shown that visualizations are a powerful tool to aid debugging, analyzing, and interpreting ML models. However, depending on the complexity of the model (e.g., number of features), interpreting these visualizations can be difficult and may require additional expertise. Alternatively, textual descriptions, or verbalizations, can be a simple, yet effective way to communicate or summarize key aspects about a model, such as the overall trend in a model’s predictions or comparisons between pairs of data instances. With the potential benefits of visualizations and verbalizations in mind, we explore how the two can be combined to aid ML interpretability. Specifically, we present a prototype system, TeleGam, that demonstrates how visualizations and verbalizations can collectively support interactive exploration of ML models, for example, generalized additive models (GAMs). We describe TELEGAM’s interface and underlying heuristics to generate the verbalizations. We conclude by discussing how TeleGam can serve as a platform to conduct future studies for understanding user expectations and designing novel interfaces for interpretable ML.","PeriodicalId":192801,"journal":{"name":"2019 IEEE Visualization Conference (VIS)","volume":"68 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131586731","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: 33

Would You Like A Chart With That? Incorporating Visualizations into Conversational Interfaces 你想要一张图表吗?将可视化融入会话界面

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-10-01 DOI: 10.1109/VISUAL.2019.8933766

Marti A. Hearst, Melanie Tory

引用次数: 23

Evidence for Area as the Primary Visual Cue in Pie Charts 饼状图中区域作为主要视觉线索的证据

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-10-01 DOI: 10.1109/VISUAL.2019.8933547

Robert Kosara

引用次数: 18

Graph-Assisted Visualization of Microvascular Networks 微血管网络的图形辅助可视化

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-10-01 DOI: 10.1109/VISUAL.2019.8933682

Pavel A. Govyadinov, Tasha R Womack, J. Eriksen, D. Mayerich, Guoning Chen

引用次数: 6

Disentangled Representation of Data Distributions in Scatterplots 散点图中数据分布的解纠缠表示

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-10-01 DOI: 10.1109/VISUAL.2019.8933670

Jaemin Jo, Jinwook Seo

引用次数: 10