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An Experimental Investigation of Magnification Lens Offset and Its Impact on Imagery Analysis 放大镜偏置及其对图像分析影响的实验研究
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.6
E. Darling, Chris Newbern, Nikhil Kalghatgi, A. Burgman, Kristine Recktenwald
{"title":"An Experimental Investigation of Magnification Lens Offset and Its Impact on Imagery Analysis","authors":"E. Darling, Chris Newbern, Nikhil Kalghatgi, A. Burgman, Kristine Recktenwald","doi":"10.1109/INFVIS.2004.6","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.6","url":null,"abstract":"A digital lens is a user interface mechanism that is a potential solution to information mangement problems. We investigated the use of digital lensing applied to imagery analysis. Participants completed three different types of tasks (locate, follow, and compare) using a magnification lens with three different degrees of offset (aligned, adjacent, and docked) over a high-resolution aerial photo. Although no lens offset mode was significantly better than another, most participants preferred the adjacent mode for the locate and compare tasks, and the docked mode for the follow tasks. This paper describes the results of a user study of magnification lenses and provides new insights into preferences of and interactions with digital lensing.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132206863","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
RankSpiral: Toward Enhancing Search Results Visualizations RankSpiral:增强搜索结果可视化
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.56
A. Spoerri
{"title":"RankSpiral: Toward Enhancing Search Results Visualizations","authors":"A. Spoerri","doi":"10.1109/INFVIS.2004.56","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.56","url":null,"abstract":"This paper addresses the problem of how to enable users to visually explore and compare large sets of documents that have been retrieved by different search engines or queries. The Rank-Spiral enables users to rapidly scan large numbers of documents and their titles in a single screen. It uses a spiral mapping that maximizes information density and minimizes occlusions. It solves the labeling problem by exploiting the structure of the special spiral mapping used. Focus+Context interactions enable users to examine document clusters or groupings in more detail.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129375236","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: 32
A Rank-by-Feature Framework for Unsupervised Multidimensional Data Exploration Using Low Dimensional Projections 基于低维投影的无监督多维数据探索的特征排序框架
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.3
Jinwook Seo, B. Shneiderman
{"title":"A Rank-by-Feature Framework for Unsupervised Multidimensional Data Exploration Using Low Dimensional Projections","authors":"Jinwook Seo, B. Shneiderman","doi":"10.1109/INFVIS.2004.3","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.3","url":null,"abstract":"Exploratory analysis of multidimensional data sets is challenging because of the difficulty in comprehending more than three dimensions. Two fundamental statistical principles for the exploratory analysis are (1) to examine each dimension first and then find relationships among dimensions, and (2) to try graphical displays first and then find numerical summaries (D.S. Moore, (1999). We implement these principles in a novel conceptual framework called the rank-by-feature framework. In the framework, users can choose a ranking criterion interesting to them and sort 1D or 2D axis-parallel projections according to the criterion. We introduce the rank-by-feature prism that is a color-coded lower-triangular matrix that guides users to desired features. Statistical graphs (histogram, boxplot, and scatterplot) and information visualization techniques (overview, coordination, and dynamic query) are combined to help users effectively traverse 1D and 2D axis-parallel projections, and finally to help them interactively find interesting features","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115770624","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: 138
Interactive Visualization Approaches to the Analysis of System Identification Data 系统识别数据分析的交互式可视化方法
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.42
J. Johansson, P. Ljung, D. Lindgren, M. Cooper
{"title":"Interactive Visualization Approaches to the Analysis of System Identification Data","authors":"J. Johansson, P. Ljung, D. Lindgren, M. Cooper","doi":"10.1109/INFVIS.2004.42","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.42","url":null,"abstract":"We propose an interactive visualization approach to finding a mathematical model for a real world process, commonly known in the field of control theory as system identification. The use of interactive visualization techniques provides the modeller with instant visual feedback which facilitates the model validation process. When working interactively with such large data sets, as are common in system identification, methods to handle this data efficiently are required. We are developing approaches based on data streaming to meet this need.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121329328","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
An Evaluation of Microarray Visualization Tools for Biological Insight 生物洞察微阵列可视化工具的评价
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.5
Purvi Saraiya, Chris North, K. Duca
{"title":"An Evaluation of Microarray Visualization Tools for Biological Insight","authors":"Purvi Saraiya, Chris North, K. Duca","doi":"10.1109/INFVIS.2004.5","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.5","url":null,"abstract":"High-throughput experiments such as gene expression microarrays in the life sciences result in large datasets. In response, a wide variety of visualization tools have been created to facilitate data analysis. Biologists often face a dilemma in choosing the best tool for their situation. The tool that works best for one biologist may not work well for another due to differences in the type of insight they seek from their data. A primary purpose of a visualization tool is to provide domain-relevant insight into the data. Ideally, any user wants maximum information in the least possible time. In this paper we identify several distinct characteristics of insight that enable us to recognize and quantify it. Based on this, we empirically evaluate five popular microarray visualization tools. Our conclusions can guide biologists in selecting the best tool for their data, and computer scientists in developing and evaluating visualizations","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127392972","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: 134
Resource Systems Reference Database 资源系统参考数据库
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.58
D. Lu, L. Dietrich
{"title":"Resource Systems Reference Database","authors":"D. Lu, L. Dietrich","doi":"10.1109/INFVIS.2004.58","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.58","url":null,"abstract":"This interactive poster proposes a novel, explorative way to browse a database containing links to resource systems-related information online. Our approach is an illustrative one, and draws on our combined backgrounds in computer science, graphic and interaction design, sustainability, community organization, and urban design. The data visualized in our prototype was collected by students in the course Sustainable Habits, which Lauren Dietrich taught at Stanford University during Winter 2004.","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132431139","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: 0
Value and Relation Display for Interactive Exploration of High Dimensional Datasets 高维数据集交互式探索的值和关系显示
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.71
Jing Yang, Anilkumar Patro, Shiping Huang, N. K. Mehta, M. Ward, Elke A. Rundensteiner
{"title":"Value and Relation Display for Interactive Exploration of High Dimensional Datasets","authors":"Jing Yang, Anilkumar Patro, Shiping Huang, N. K. Mehta, M. Ward, Elke A. Rundensteiner","doi":"10.1109/INFVIS.2004.71","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.71","url":null,"abstract":"Traditional multidimensional visualization techniques, such as glyphs, parallel coordinates and scatterplot matrices, suffer from clutter at the display level and difficult user navigation among dimensions when visualizing high dimensional datasets. In this paper, we propose a new multidimensional visualization technique named a value and relation (VaR) display, together with a rich set of navigation and selection tools, for interactive exploration of datasets with up to hundreds of dimensions. By explicitly conveying the relationships among the dimensions of a high dimensional dataset, the VaR display helps users grasp the associations among dimensions. By using pixel-oriented techniques to present values of the data items in a condensed manner, the VaR display reveals data patterns in the dataset using as little screen space as possible. The navigation and selection tools enable users to interactively reduce clutter, navigate within the dimension space, and examine data value details within context effectively and efficiently. The VaR display scales well to datasets with large numbers of data items by employing sampling and texture mapping. A case study on a real dataset, as well as the VaR displays of multiple real datasets throughout the paper, reveals how our proposed approach helps users interactively explore high dimensional datasets with large numbers of data items","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"29 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113960821","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: 63
A Comparison of the Readability of Graphs Using Node-Link and Matrix-Based Representations 基于节点链接和基于矩阵表示的图的可读性比较
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.1
M. Ghoniem, Jean-Daniel Fekete, P. Castagliola
{"title":"A Comparison of the Readability of Graphs Using Node-Link and Matrix-Based Representations","authors":"M. Ghoniem, Jean-Daniel Fekete, P. Castagliola","doi":"10.1109/INFVIS.2004.1","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.1","url":null,"abstract":"In this paper, we describe a taxonomy of generic graph related tasks and an evaluation aiming at assessing the readability of two representations of graphs: matrix-based representations and node-link diagrams. This evaluation bears on seven generic tasks and leads to important recommendations with regard to the representation of graphs according to their size and density. For instance, we show that when graphs are bigger than twenty vertices, the matrix-based visualization performs better than node-link diagrams on most tasks. Only path finding is consistently in favor of node-link diagrams throughout the evaluation","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125757650","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: 419
EZEL: a Visual Tool for Performance Assessment of Peer-to-Peer File-Sharing Network EZEL:点对点文件共享网络性能评估的可视化工具
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.25
L. Voinea, A. Telea, J. V. Wijk
{"title":"EZEL: a Visual Tool for Performance Assessment of Peer-to-Peer File-Sharing Network","authors":"L. Voinea, A. Telea, J. V. Wijk","doi":"10.1109/INFVIS.2004.25","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.25","url":null,"abstract":"In this paper we present EZEL, a visual tool we developed for the performance assessment of peer-to-peer file-sharing networks. We start by identifying the relevant data transferred in this kind of networks and the main performance assessment questions. Then we describe the visualization of data from two different points of view. First we take servers as focal points and we introduce a new technique, faded cushioning, which allows visualizing the same data from different perspectives. Secondly, we present the viewpoint of files, and we expose the correlations with the server stance via a special scatter plot. Finally, we discuss how our tool, based on the described techniques, is effective in the performance assessment of peer-to-peer file-sharing networks","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126878993","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
The InfoVis Toolkit InfoVis工具包
IEEE Symposium on Information Visualization Pub Date : 2004-10-10 DOI: 10.1109/INFVIS.2004.64
Jean-Daniel Fekete
{"title":"The InfoVis Toolkit","authors":"Jean-Daniel Fekete","doi":"10.1109/INFVIS.2004.64","DOIUrl":"https://doi.org/10.1109/INFVIS.2004.64","url":null,"abstract":"This article presents the InfoVis toolkit, designed to support the creation, extension and integration of advanced 2D information visualization components into interactive Java swing applications. The InfoVis toolkit provides specific data structures to achieve a fast action/feedback loop required by dynamic queries. It comes with a large set of components such as range sliders and tailored control panels required to control and configure the visualizations. These components are integrated into a coherent framework that simplifies the management of rich data structures and the design and extension of visualizations. Supported data structures currently include tables, trees and graphs. Supported visualizations include scatter plots, time series, parallel coordinates, treemaps, icicle trees, node-link diagrams for trees and graphs and adjacency matrices for graphs. All visualizations can use fisheye lenses and dynamic labeling. The InfoVis toolkit supports hardware acceleration when available through Agile2D, an implementation of the Java graphics API based on OpenGL, achieving speedups of 10 to 200 times. The article also shows how new visualizations can be added and extended to become components, enriching visualizations as well as general applications","PeriodicalId":109217,"journal":{"name":"IEEE Symposium on Information Visualization","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116116191","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: 339
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