Pub Date : 1996-10-28DOI: 10.1109/INFVIS.1996.559218
K. Andrews, Michael Pichler, Peter Wolf
The Harmony browser for the Hyper-G Web server utilises Hyper-G's rich data model to provide a number of tightly-coupled, two- and three-dimensional visualisation and navigational facilities. In particular the Harmony Information Landscape visualises the hierarchical structure of Hyper-G spaces upon a plane in three-dimensional space. The Harmony Information Landscape has now been extended to display a combined structure and link map by selectively superimposing hyperlink relationships in the vertical dimension above and below the hierarchy map. In addition, documents returned by search queries may be selectively "plotted" in the landscape, indicating their whereabouts in a broader context, and several sets of 3D icons are available for representing the various document types.
用于Hyper-G Web服务器的Harmony浏览器利用Hyper-G的丰富数据模型来提供许多紧密耦合的二维和三维可视化和导航设施。特别是和谐信息景观可视化了三维空间平面上的超g空间的层次结构。Harmony Information Landscape现在已经扩展为通过在层次图的上下垂直维度中选择性地叠加超链接关系来显示组合的结构和链接图。此外，通过搜索查询返回的文档可以有选择地在横向“绘制”，表明它们在更广泛的上下文中的位置，并且可以使用几组3D图标来表示各种文档类型。
{"title":"Towards rich information landscapes for visualising structured Web spaces","authors":"K. Andrews, Michael Pichler, Peter Wolf","doi":"10.1109/INFVIS.1996.559218","DOIUrl":"https://doi.org/10.1109/INFVIS.1996.559218","url":null,"abstract":"The Harmony browser for the Hyper-G Web server utilises Hyper-G's rich data model to provide a number of tightly-coupled, two- and three-dimensional visualisation and navigational facilities. In particular the Harmony Information Landscape visualises the hierarchical structure of Hyper-G spaces upon a plane in three-dimensional space. The Harmony Information Landscape has now been extended to display a combined structure and link map by selectively superimposing hyperlink relationships in the vertical dimension above and below the hierarchy map. In addition, documents returned by search queries may be selectively \"plotted\" in the landscape, indicating their whereabouts in a broader context, and several sets of 3D icons are available for representing the various document types.","PeriodicalId":153504,"journal":{"name":"Proceedings IEEE Symposium on Information Visualization '96","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116517457","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}
Pub Date : 1996-10-28DOI: 10.1109/INFVIS.1996.559223
C. Bentley, M. Ward
Many techniques have been developed for visualizing multivariate (multidimensional) data. Most, if not all, are limited by the number of dimensions which can be effectively displayed. Multidimensional scaling (MDS) is an iterative non-linear technique for projecting n-D data down to a lower number of dimensions. This work presents extensions to MDS that enhance visualization of high-dimensional data sets. These extensions include animation, stochastic perturbation, and flow visualization techniques.
{"title":"Animating multidimensional scaling to visualize N-dimensional data sets","authors":"C. Bentley, M. Ward","doi":"10.1109/INFVIS.1996.559223","DOIUrl":"https://doi.org/10.1109/INFVIS.1996.559223","url":null,"abstract":"Many techniques have been developed for visualizing multivariate (multidimensional) data. Most, if not all, are limited by the number of dimensions which can be effectively displayed. Multidimensional scaling (MDS) is an iterative non-linear technique for projecting n-D data down to a lower number of dimensions. This work presents extensions to MDS that enhance visualization of high-dimensional data sets. These extensions include animation, stochastic perturbation, and flow visualization techniques.","PeriodicalId":153504,"journal":{"name":"Proceedings IEEE Symposium on Information Visualization '96","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116831159","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}
Pub Date : 1996-10-28DOI: 10.1109/INFVIS.1996.559226
T. Munzner, Eric Hoffman, K. Claffy, B. Fenner
We present a case study of visualizing the global topology of the Internet MBone. The MBone is the Internet's multicast backbone. Multicast is the most efficient way of distributing data from one sender to multiple receivers with minimal packet duplication. Developed and initially deployed by researchers within the Internet community, the MBone has been extremely popular for efficient transmission across the Internet of real-time video and audio streams such as conferences, meetings, congressional sessions, and NASA shuttle launches. The MBone, like the Internet itself grew exponentially with no central authority. The resulting suboptimal topology is of growing concern to network providers and the multicast research community. We create a geographic representation of the tunnel structure as arcs on a globe by resolving the latitude and longitude of MBone routers. The interactive 3D maps permit an immediate understanding of the global structure unavailable from the data in its original form as lines of text with only hostnames and IP addresses. Data visualization techniques such as grouping and thresholding allow further analysis of specific aspects of the MBone topology. We distribute the interactive 3D maps through the World-Wide Web using the VRML file format thus allowing network maintainers throughout the world to analyze the structure move effectively than would be possible with still pictures or pre-made videos.
{"title":"Visualizing the global topology of the MBone","authors":"T. Munzner, Eric Hoffman, K. Claffy, B. Fenner","doi":"10.1109/INFVIS.1996.559226","DOIUrl":"https://doi.org/10.1109/INFVIS.1996.559226","url":null,"abstract":"We present a case study of visualizing the global topology of the Internet MBone. The MBone is the Internet's multicast backbone. Multicast is the most efficient way of distributing data from one sender to multiple receivers with minimal packet duplication. Developed and initially deployed by researchers within the Internet community, the MBone has been extremely popular for efficient transmission across the Internet of real-time video and audio streams such as conferences, meetings, congressional sessions, and NASA shuttle launches. The MBone, like the Internet itself grew exponentially with no central authority. The resulting suboptimal topology is of growing concern to network providers and the multicast research community. We create a geographic representation of the tunnel structure as arcs on a globe by resolving the latitude and longitude of MBone routers. The interactive 3D maps permit an immediate understanding of the global structure unavailable from the data in its original form as lines of text with only hostnames and IP addresses. Data visualization techniques such as grouping and thresholding allow further analysis of specific aspects of the MBone topology. We distribute the interactive 3D maps through the World-Wide Web using the VRML file format thus allowing network maintainers throughout the world to analyze the structure move effectively than would be possible with still pictures or pre-made videos.","PeriodicalId":153504,"journal":{"name":"Proceedings IEEE Symposium on Information Visualization '96","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125467850","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}
Pub Date : 1996-10-28DOI: 10.1109/INFVIS.1996.559225
Naim Alper, Chuck Stein
This paper presents the query and visualization interfaces of the Master Environmental Library (MEL) system. MEL uses the World Wide Web (WWW) to make accessible distributed data whose metadata conform to the Federal Geographic Data Committee's (FGDC) content standards for digital geospatial metadata. The interfaces are implemented as Java/sup TM/ applets and are more intuitive, interactive and possess greater functionality than their Hypertext Markup Language (HTML) counterparts. As well as querying, the interface allows users to visualize and manage the list of query results so that users can more quickly discover the datasets of real interest. Several new tools used to visualize attributes of the metadata are presented.
{"title":"Geospatial metadata querying and visualization on the WWW using Java/sup TM/ applets","authors":"Naim Alper, Chuck Stein","doi":"10.1109/INFVIS.1996.559225","DOIUrl":"https://doi.org/10.1109/INFVIS.1996.559225","url":null,"abstract":"This paper presents the query and visualization interfaces of the Master Environmental Library (MEL) system. MEL uses the World Wide Web (WWW) to make accessible distributed data whose metadata conform to the Federal Geographic Data Committee's (FGDC) content standards for digital geospatial metadata. The interfaces are implemented as Java/sup TM/ applets and are more intuitive, interactive and possess greater functionality than their Hypertext Markup Language (HTML) counterparts. As well as querying, the interface allows users to visualize and manage the list of query results so that users can more quickly discover the datasets of real interest. Several new tools used to visualize attributes of the metadata are presented.","PeriodicalId":153504,"journal":{"name":"Proceedings IEEE Symposium on Information Visualization '96","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116571819","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}
Pub Date : 1996-10-28DOI: 10.1109/INFVIS.1996.559211
Michelle X. Zhou, Steven K. Feiner
Automated graphical generation systems should be able to design effective presentations for heterogeneous (quantitative and qualitative) information in static or interactive environments. When building such a system, it is important to thoroughly understand the presentation-related characteristics of domain-specific information. We define a data-analysis taxonomy that can be used to characterize heterogeneous information. In addition to capturing the presentation-related properties of data, our characterization takes into account the user's information-seeking goals and visual-interpretation preferences. We use automatically-generated examples from two different application domains to demonstrate the coverage of the proposed taxonomy and its utility for selecting effective graphical techniques.
{"title":"Data characterization for automatically visualizing heterogeneous information","authors":"Michelle X. Zhou, Steven K. Feiner","doi":"10.1109/INFVIS.1996.559211","DOIUrl":"https://doi.org/10.1109/INFVIS.1996.559211","url":null,"abstract":"Automated graphical generation systems should be able to design effective presentations for heterogeneous (quantitative and qualitative) information in static or interactive environments. When building such a system, it is important to thoroughly understand the presentation-related characteristics of domain-specific information. We define a data-analysis taxonomy that can be used to characterize heterogeneous information. In addition to capturing the presentation-related properties of data, our characterization takes into account the user's information-seeking goals and visual-interpretation preferences. We use automatically-generated examples from two different application domains to demonstrate the coverage of the proposed taxonomy and its utility for selecting effective graphical techniques.","PeriodicalId":153504,"journal":{"name":"Proceedings IEEE Symposium on Information Visualization '96","volume":"263 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116176588","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}
Pub Date : 1996-10-28DOI: 10.1109/INFVIS.1996.559227
Mark Gray, Albert N. Badre, M. Guzdial
Our approach to testing graphical user interfaces involves logging large amounts of data. These logs capture information at the key press and mouse click level about how an application is used. Since the raw data is voluminous and not at a useful level of detail, we use analysis and visualization to find information that is interesting and useful to a usability analyst but was previously buried in the data. We call some of our custom visualizations "contextual" meaning they use key elements of the context the data was collected in as an organizing structure. We expect this type of visualization to be easier and faster to understand and more helpful than traditional charts. We hope that our finding a natural geometry for these visualizations will inspire others whose data apparently has no inherent geometry to find natural ways to visualize their data.
{"title":"Visualizing usability log data","authors":"Mark Gray, Albert N. Badre, M. Guzdial","doi":"10.1109/INFVIS.1996.559227","DOIUrl":"https://doi.org/10.1109/INFVIS.1996.559227","url":null,"abstract":"Our approach to testing graphical user interfaces involves logging large amounts of data. These logs capture information at the key press and mouse click level about how an application is used. Since the raw data is voluminous and not at a useful level of detail, we use analysis and visualization to find information that is interesting and useful to a usability analyst but was previously buried in the data. We call some of our custom visualizations \"contextual\" meaning they use key elements of the context the data was collected in as an organizing structure. We expect this type of visualization to be easier and faster to understand and more helpful than traditional charts. We hope that our finding a natural geometry for these visualizations will inspire others whose data apparently has no inherent geometry to find natural ways to visualize their data.","PeriodicalId":153504,"journal":{"name":"Proceedings IEEE Symposium on Information Visualization '96","volume":"312 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131857652","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}
Pub Date : 1996-10-28DOI: 10.1109/INFVIS.1996.559220
D. Ebert, Chris Shaw, Amen Zwa, E. L. Miller, D. Roberts
This paper describes a minimally immersive volumetric interactive system for information visualization. The system, SFA, uses glyph-based volume rendering, enabling more information attributes to be visualized than traditional 2D and surface-based information visualization systems. Two-handed interaction and stereoscopic viewing combine to produce a minimally immersive interactive system that enhances the user's three-dimensional perception of the information space, capitalizing on the human visual system's pre-attentive learning capabilities to quickly analyze the displayed information. The paper describes the usefulness of this system for the visualization of document similarity within a corpus of textual documents. SFA allows the three-dimensional volumetric visualization, manipulation, navigation, and analysis of multivariate, time-varying information spaces, increasing the quantity and clarity of information conveyed from the visualization as compared to traditional 2D information systems.
{"title":"Minimally-immersive interactive volumetric information visualization","authors":"D. Ebert, Chris Shaw, Amen Zwa, E. L. Miller, D. Roberts","doi":"10.1109/INFVIS.1996.559220","DOIUrl":"https://doi.org/10.1109/INFVIS.1996.559220","url":null,"abstract":"This paper describes a minimally immersive volumetric interactive system for information visualization. The system, SFA, uses glyph-based volume rendering, enabling more information attributes to be visualized than traditional 2D and surface-based information visualization systems. Two-handed interaction and stereoscopic viewing combine to produce a minimally immersive interactive system that enhances the user's three-dimensional perception of the information space, capitalizing on the human visual system's pre-attentive learning capabilities to quickly analyze the displayed information. The paper describes the usefulness of this system for the visualization of document similarity within a corpus of textual documents. SFA allows the three-dimensional volumetric visualization, manipulation, navigation, and analysis of multivariate, time-varying information spaces, increasing the quantity and clarity of information conveyed from the visualization as compared to traditional 2D information systems.","PeriodicalId":153504,"journal":{"name":"Proceedings IEEE Symposium on Information Visualization '96","volume":"2592 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128814342","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}
Pub Date : 1996-10-28DOI: 10.1109/INFVIS.1996.559219
Sougata Mukherjea, K. Hirata, Y. Hara
Search engines are very useful because they allow the user to retrieve documents of interest from the World-Wide Web. However, if the user's query results in lots of records to be retrieved, just listing the results is not very user-friendly. We are developing a system that allows the visualization of the results. Visualizations of both text and image search are generated on the fly based on the search results.
{"title":"Visualizing the results of multimedia Web search engines","authors":"Sougata Mukherjea, K. Hirata, Y. Hara","doi":"10.1109/INFVIS.1996.559219","DOIUrl":"https://doi.org/10.1109/INFVIS.1996.559219","url":null,"abstract":"Search engines are very useful because they allow the user to retrieve documents of interest from the World-Wide Web. However, if the user's query results in lots of records to be retrieved, just listing the results is not very user-friendly. We are developing a system that allows the visualization of the results. Visualizations of both text and image search are generated on the fly based on the search results.","PeriodicalId":153504,"journal":{"name":"Proceedings IEEE Symposium on Information Visualization '96","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122979251","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}
Pub Date : 1996-10-28DOI: 10.1109/INFVIS.1996.559216
G. Wills
Visualization is a critical technology for understanding complex, data-rich systems. Effective visualizations make important features of the data immediately recognizable and enable the user to discover interesting and useful results by highlighting patterns. A key element of such systems is the ability to interact with displays of data by selecting a subset for further investigation. This operation is needed for use in linked-views systems and in drill-down analysis. It is a common manipulation in many other systems. It is as ubiquitous as selecting icons in a desktop GUI. It is therefore surprising to note that little research has been done on how selection can be implemented. This paper addresses this omission, presenting a taxonomy for selection mechanisms and discussing the interactions between branches of the taxonomy. Our suggestion of 524,288 possible systems [2/sup 16/ operation systems/spl times/2 (memory/memoryless)/spl times/2 (data-dependent/independent)/spl times/2 (brush/lasso)] is more in fun than serious, as within the taxonomy there are many different choices that can be made. This framework is the result of considering both the current state of the art and historical antecedents.
{"title":"Selection: 524,288 ways to say \"this is interesting\"","authors":"G. Wills","doi":"10.1109/INFVIS.1996.559216","DOIUrl":"https://doi.org/10.1109/INFVIS.1996.559216","url":null,"abstract":"Visualization is a critical technology for understanding complex, data-rich systems. Effective visualizations make important features of the data immediately recognizable and enable the user to discover interesting and useful results by highlighting patterns. A key element of such systems is the ability to interact with displays of data by selecting a subset for further investigation. This operation is needed for use in linked-views systems and in drill-down analysis. It is a common manipulation in many other systems. It is as ubiquitous as selecting icons in a desktop GUI. It is therefore surprising to note that little research has been done on how selection can be implemented. This paper addresses this omission, presenting a taxonomy for selection mechanisms and discussing the interactions between branches of the taxonomy. Our suggestion of 524,288 possible systems [2/sup 16/ operation systems/spl times/2 (memory/memoryless)/spl times/2 (data-dependent/independent)/spl times/2 (brush/lasso)] is more in fun than serious, as within the taxonomy there are many different choices that can be made. This framework is the result of considering both the current state of the art and historical antecedents.","PeriodicalId":153504,"journal":{"name":"Proceedings IEEE Symposium on Information Visualization '96","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116779827","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：