IEEE Transactions on Visualization and Computer Graphics最新文献_第8页

IF 5.2 1区计算机科学

IEEE Transactions on Visualization and Computer Graphics Pub Date : 2021-02-01 DOI: 10.1109/tvcg.2020.3033682

引用次数: 0

Fuzzy Spreadsheet: Understanding and Exploring Uncertainties in Tabular Calculations 模糊电子表格：理解和探索表格计算中的不确定性

IF 5.2 1区计算机科学

IEEE Transactions on Visualization and Computer Graphics Pub Date : 2020-12-16 DOI: 10.31219/osf.io/j5g4b

V. Dhanoa, C. Walchshofer, A. Hinterreiter, E. Gröller, M. Streit

{"title":"Fuzzy Spreadsheet: Understanding and Exploring Uncertainties in Tabular Calculations","authors":"V. Dhanoa, C. Walchshofer, A. Hinterreiter, E. Gröller, M. Streit","doi":"10.31219/osf.io/j5g4b","DOIUrl":"https://doi.org/10.31219/osf.io/j5g4b","url":null,"abstract":"Spreadsheet-based tools provide a simple yet effective way of calculating values, which makes them the number-one choice for building and formalizing simple models for budget planning and many other applications. A cell in a spreadsheet holds one specific value and gives a discrete, overprecise view of the underlying model. Therefore, spreadsheets are of limited use when investigating the inherent uncertainties of such models and answering what-if questions. Existing extensions typically require a complex modeling process that cannot easily be embedded in a tabular layout. In Fuzzy Spreadsheet, a cell can hold and display a distribution of values. This integrated uncertainty-handling immediately conveys sensitivity and robustness information. The fuzzification of the cells enables calculations not only with precise values but also with distributions, and probabilities. We conservatively added and carefully crafted visuals to maintain the look and feel of a traditional spreadsheet while facilitating what-if analyses. Given a user-specified reference cell, Fuzzy Spreadsheet automatically extracts and visualizes contextually relevant information, such as impact, uncertainty, and degree of neighborhood, for the selected and related cells. To evaluate its usability and the perceived mental effort required, we conducted a user study. The results show that our approach outperforms traditional spreadsheets in terms of answer correctness, response time, and perceived mental effort in almost all tasks tested.","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":" ","pages":"1-1"},"PeriodicalIF":5.2,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48176786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

VAST Program Committee VAST项目委员会

IF 5.2 1区计算机科学

IEEE Transactions on Visualization and Computer Graphics Pub Date : 2020-10-01 DOI: 10.1109/vast50239.2020.00017

引用次数: 0

VAST Reviewers VAST审查员

IF 5.2 1区计算机科学

IEEE Transactions on Visualization and Computer Graphics Pub Date : 2020-10-01 DOI: 10.1109/vast50239.2020.00018

引用次数: 0

VIS30K: A Collection of Figures and Tables From IEEE Visualization Conference Publications VIS30K:来自IEEE可视化会议出版物的图形和表的集合

IF 5.2 1区计算机科学

IEEE Transactions on Visualization and Computer Graphics Pub Date : 2020-07-12 DOI: 10.21227/4HY6-VH52

Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, M. Sedlmair, Torsten Möller, R. Laramee, Han-Wei Shen, Katharina Wünsche, Qiru Wang

{"title":"VIS30K: A Collection of Figures and Tables From IEEE Visualization Conference Publications","authors":"Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, M. Sedlmair, Torsten Möller, R. Laramee, Han-Wei Shen, Katharina Wünsche, Qiru Wang","doi":"10.21227/4HY6-VH52","DOIUrl":"https://doi.org/10.21227/4HY6-VH52","url":null,"abstract":"We present the VIS30K dataset, a collection of 29,689 images that represents 30 years of figures and tables from each track of the IEEE Visualization conference series (Vis, SciVis, InfoVis, VAST). VIS30K's comprehensive coverage of the scientific literature in visualization not only reflects the progress of the field but also enables researchers to study the evolution of the state-of-the-art and to find relevant work based on graphical content. We describe the dataset and our semi-automatic collection process, which couples convolutional neural networks (CNN) with curation. Extracting figures and tables semi-automatically allows us to verify that no images are overlooked or extracted erroneously. To improve quality further, we engaged in a peer-search process for high-quality figures from early IEEE Visualization papers. With the resulting data, we also contribute VISImageNavigator (VIN, visimagenavigator.github.io), a web-based tool that facilitates searching and exploring VIS30K by author names, paper keywords, title and abstract, and years.","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"27 1","pages":"3826-3833"},"PeriodicalIF":5.2,"publicationDate":"2020-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44943434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 30

The 2019 Visualization Technical Achievement Award 2019年可视化技术成就奖

IF 5.2 1区计算机科学

IEEE Transactions on Visualization and Computer Graphics Pub Date : 2020-01-01 DOI: 10.1109/tvcg.2019.2935661

E. Gröller

引用次数: 0

Understanding the Role of Alternatives in Data Analysis Practices 理解替代方案在数据分析实践中的作用

IF 5.2 1区计算机科学

IEEE Transactions on Visualization and Computer Graphics Pub Date : 2020-01-01 DOI: 10.1109/TVCG.2019.2934593

Jiali Liu, N. Boukhelifa, James R. Eagan

{"title":"Understanding the Role of Alternatives in Data Analysis Practices","authors":"Jiali Liu, N. Boukhelifa, James R. Eagan","doi":"10.1109/TVCG.2019.2934593","DOIUrl":"https://doi.org/10.1109/TVCG.2019.2934593","url":null,"abstract":"Data workers are people who perform data analysis activities as a part of their daily work but do not formally identify as data scientists. They come from various domains and often need to explore diverse sets of hypotheses and theories, a variety of data sources, algorithms, methods, tools, and visual designs. Taken together, we call these alternatives. To better understand and characterize the role of alternatives in their analyses, we conducted semi-structured interviews with 12 data workers with different types of expertise. We conducted four types of analyses to understand 1) why data workers explore alternatives; 2) the different notions of alternatives and how they fit into the sensemaking process; 3) the high-level processes around alternatives; and 4) their strategies to generate, explore, and manage those alternatives. We find that participants' diverse levels of domain and computational expertise, experience with different tools, and collaboration within their broader context play an important role in how they explore these alternatives. These findings call out the need for more attention towards a deeper understanding of alternatives and the need for better tools to facilitate the exploration, interpretation, and management of alternatives. Drawing upon these analyses and findings, we present a framework based on participants' 1) degree of attention, 2) abstraction level, and 3) analytic processes. We show how this framework can help understand how data workers consider such alternatives in their analyses and how tool designers might create tools to better support them.","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"26 1","pages":"66-76"},"PeriodicalIF":5.2,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TVCG.2019.2934593","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62599991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 43

Why Visualize? Untangling a Large Network of Arguments 为什么想象?解开一个庞大的争论网络

IF 5.2 1区计算机科学

IEEE Transactions on Visualization and Computer Graphics Pub Date : 2019-09-10 DOI: 10.1109/TVCG.2019.2940026

Dirk Streeb, Mennatallah El-Assady, D. Keim, Min Chen

{"title":"Why Visualize? Untangling a Large Network of Arguments","authors":"Dirk Streeb, Mennatallah El-Assady, D. Keim, Min Chen","doi":"10.1109/TVCG.2019.2940026","DOIUrl":"https://doi.org/10.1109/TVCG.2019.2940026","url":null,"abstract":"Visualization has been deemed a useful technique by researchers and practitioners, alike, leaving a trail of arguments behind that reason why visualization works. In addition, examples of misleading usages of visualizations in information communication have occasionally been pointed out. Thus, to contribute to the fundamental understanding of our discipline, we require a comprehensive collection of arguments on “why visualize?” (or “why not?”), untangling the rationale behind positive and negative viewpoints. In this paper, we report a theoretical study to understand the underlying reasons of various arguments; their relationships (e.g., built-on, and conflict); and their respective dependencies on tasks, users, and data. We curated an argumentative network based on a collection of arguments from various fields, including information visualization, cognitive science, psychology, statistics, philosophy, and others. Our work proposes several categorizations for the arguments, and makes their relations explicit. We contribute the first comprehensive and systematic theoretical study of the arguments on visualization. Thereby, we provide a roadmap towards building a foundation for visualization theory and empirical research as well as for practical application in the critique and design of visualizations. In addition, we provide our argumentation network and argument collection online at https://whyvis.dbvis.de, supported by an interactive visualization.","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"27 1","pages":"2220-2236"},"PeriodicalIF":5.2,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TVCG.2019.2940026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62600184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17

Automatic Sitting Pose Generation for Ergonomic Ratings of Chairs 自动坐姿生成符合人体工程学的椅子评级

IF 5.2 1区计算机科学

IEEE Transactions on Visualization and Computer Graphics Pub Date : 2019-09-05 DOI: 10.1109/TVCG.2019.2938746

Aihua Mao, Hong Zhang, Zhenfeng Xie, Minjing Yu, Yong-Jin Liu, Ying He

{"title":"Automatic Sitting Pose Generation for Ergonomic Ratings of Chairs","authors":"Aihua Mao, Hong Zhang, Zhenfeng Xie, Minjing Yu, Yong-Jin Liu, Ying He","doi":"10.1109/TVCG.2019.2938746","DOIUrl":"https://doi.org/10.1109/TVCG.2019.2938746","url":null,"abstract":"Human poses play a critical role in human-centric product design. Despite considerable researches on pose synthesis and pose-driven product design, most of them adopt the simple stick figure model that captures only skeletons rather than real body geometries and do not link human poses to the environment (e.g., chairs for sitting). This paper focuses on user-tailored ergonomic design and rating of chairs using scanned human geometries. Fully utilizing the anthropometric information of the human models, our method considers more ergonomic guidelines of chair design (such as pressure distribution and support intensity) and links the geometry of 3D chair models and human-to-chair interactions into the pose deformation constraints of the human avatars. The core of our method is a pose generation algorithm which rigs the user's successive poses through coarse- and fine-level pose deformations. We define a non-linear energy function with contact, collision, and joint limit terms, and solve it using a hill-climbing algorithm. The fitting results allow us to quantitatively evaluate the chair model in terms of various ergonomic criteria. Our method is flexible and effective and can be applied to users with varying body shapes and a wide range of chairs. Moreover, the proposed technique can be easily extended to other furniture, such as desk, bed, and cabinet. Extensive evaluations and a user study demonstrate the efficiency and advantages of the proposed virtual fitting method. Given that our method avoids tedious on-site trying, facilitates the exploration/evaluation of various chair products, and provides valuable feedback for the designers and manufacturers to deliver customized products, it is ideal for online shopping of chairs.","PeriodicalId":13376,"journal":{"name":"IEEE Transactions on Visualization and Computer Graphics","volume":"27 1","pages":"1890-1903"},"PeriodicalIF":5.2,"publicationDate":"2019-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TVCG.2019.2938746","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62600143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Paper Reviewers for Journal Papers 期刊论文审稿人

IF 5.2 1区计算机科学

IEEE Transactions on Visualization and Computer Graphics Pub Date : 2019-05-01 DOI: 10.1109/tvcg.2019.2902967

引用次数: 0