This article discusses three tools that allow making collaboration and decision-making more effective. It presents insights from working in the “ETH Baugarten Value Lab”, a new research space with five touch displays. First, the article introduces this lab. Then, it introduces two software tools to support communication and group decision-making. The first tool is targeted at urban planners, the second at managers. We found that (1) the lab fascinates and engages the users, (2) that not many software tools are available for such a setting and that those tools are not very user friendly, (3) that people underestimate the time to design suitable workshops. We have found in various workshops that our two tools seem to go in the right direction, which states that “less functionality is more”.
{"title":"The ETH Value Lab and Two Software Tools for Knowledge Creation in Teams","authors":"R. Burkhard, Christian Schneider, Michael Meier","doi":"10.1109/IV.2009.68","DOIUrl":"https://doi.org/10.1109/IV.2009.68","url":null,"abstract":"This article discusses three tools that allow making collaboration and decision-making more effective. It presents insights from working in the “ETH Baugarten Value Lab”, a new research space with five touch displays. First, the article introduces this lab. Then, it introduces two software tools to support communication and group decision-making. The first tool is targeted at urban planners, the second at managers. We found that (1) the lab fascinates and engages the users, (2) that not many software tools are available for such a setting and that those tools are not very user friendly, (3) that people underestimate the time to design suitable workshops. We have found in various workshops that our two tools seem to go in the right direction, which states that “less functionality is more”.","PeriodicalId":138829,"journal":{"name":"2009 13th International Conference Information Visualisation","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124727402","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}
One family of visualization tools for the Semantic web are those that directly display the underlying RDF data. Most of them use the inherent graph structure of RDF data and present the user with some drawing of the graph. While it is usually sufficient to give the user with decent understanding of data, there are some features of RDF that could be used to improve the visualization, for instance the presence of reifications. While they can easily be displayed just like any other part of the RDF graph, their specific properties allow for more advanced processing.
{"title":"Visual Representation of Reifications in RDF Visualizer","authors":"J. Dokulil, J. Yaghob, J. Katreniaková","doi":"10.1109/IV.2009.27","DOIUrl":"https://doi.org/10.1109/IV.2009.27","url":null,"abstract":"One family of visualization tools for the Semantic web are those that directly display the underlying RDF data. Most of them use the inherent graph structure of RDF data and present the user with some drawing of the graph. While it is usually sufficient to give the user with decent understanding of data, there are some features of RDF that could be used to improve the visualization, for instance the presence of reifications. While they can easily be displayed just like any other part of the RDF graph, their specific properties allow for more advanced processing.","PeriodicalId":138829,"journal":{"name":"2009 13th International Conference Information Visualisation","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126725257","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}
Some visualizations need not only adequately represent information; their presentation needs also to be effective, leading to a behavior change in the viewer. Rhetorical figures, like metaphors, are said to increase the effectiveness of a message. This position paper first reviews the literature on why metaphors are more persuasive. Second, it presents four distinct meaning creation operations as one dimension of a future classification system. Third, it explains the properties of the meaning creation operations on four state-of-the-art works from infographics. Fourth, it presents an analysis of published empirical studies from the field of advertising, and provides advice on how to best use them in practice.
{"title":"Guiding the Viewer's Imagination: How Visual Rhetorical Figures Create Meaning in Animated Infographics","authors":"R. Lengler, A. V. Moere","doi":"10.1109/IV.2009.102","DOIUrl":"https://doi.org/10.1109/IV.2009.102","url":null,"abstract":"Some visualizations need not only adequately represent information; their presentation needs also to be effective, leading to a behavior change in the viewer. Rhetorical figures, like metaphors, are said to increase the effectiveness of a message. This position paper first reviews the literature on why metaphors are more persuasive. Second, it presents four distinct meaning creation operations as one dimension of a future classification system. Third, it explains the properties of the meaning creation operations on four state-of-the-art works from infographics. Fourth, it presents an analysis of published empirical studies from the field of advertising, and provides advice on how to best use them in practice.","PeriodicalId":138829,"journal":{"name":"2009 13th International Conference Information Visualisation","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115108948","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}
Many applications feature large hierarchic dynamic graphs that change over time. Often, these changes are more important than the graphs themselves.In our approach, areas of interests in dynamic graphs are detected based on user preferences. The user is guided from one area of interest to another in such a way that reduced contextual information is shown. To this end, dynamic graph layout mechanisms are extended by a reprocessing that decides what to show and a post processing that stages the animation based on spatial information.
{"title":"Focused Animation of Dynamic Compound Graphs","authors":"Florian Reitz, M. Pohl, S. Diehl","doi":"10.1109/IV.2009.24","DOIUrl":"https://doi.org/10.1109/IV.2009.24","url":null,"abstract":"Many applications feature large hierarchic dynamic graphs that change over time. Often, these changes are more important than the graphs themselves.In our approach, areas of interests in dynamic graphs are detected based on user preferences. The user is guided from one area of interest to another in such a way that reduced contextual information is shown. To this end, dynamic graph layout mechanisms are extended by a reprocessing that decides what to show and a post processing that stages the animation based on spatial information.","PeriodicalId":138829,"journal":{"name":"2009 13th International Conference Information Visualisation","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128385228","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}
Suitable reference marks are an important part of creating an understandable visualization. The reference marks create the frame in which the data is understood, thereby preserving the context of the data and allowing the transition from data to information to be made. However, reference marks (including legends, axial and point labels) are given insufficient attention in many visualization frameworks. When explicitly present, they often require completely separate specification from the visualization for which they are a reference. This paper presents a framework independent method for deriving reference marks from the data analysis pathway. We also describe how this approach has been implemented in the Stencil library, and how it may be implemented in other libraries.
{"title":"Algebraic Guide Generation","authors":"Joseph A. Cottam, A. Lumsdaine","doi":"10.1109/IV.2009.110","DOIUrl":"https://doi.org/10.1109/IV.2009.110","url":null,"abstract":"Suitable reference marks are an important part of creating an understandable visualization. The reference marks create the frame in which the data is understood, thereby preserving the context of the data and allowing the transition from data to information to be made. However, reference marks (including legends, axial and point labels) are given insufficient attention in many visualization frameworks. When explicitly present, they often require completely separate specification from the visualization for which they are a reference. This paper presents a framework independent method for deriving reference marks from the data analysis pathway. We also describe how this approach has been implemented in the Stencil library, and how it may be implemented in other libraries.","PeriodicalId":138829,"journal":{"name":"2009 13th International Conference Information Visualisation","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129464664","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}
RadViz visualization makes it possible to map data from n-dimensional space into a plane. The paper reviews those specific properties of this method that are important for identification of clusters in the original multidimensional data. First, there is described an artificial data set which clearly points to a certain drawback of the original RadViz mapping. To resolve the identified problem there are suggested 2 minor modifications of the RadViz algorithm. Finally, it is proved that application of both suggested modifications guarantees that the upper mentioned problem does not re-appear. This claim is experimentally confirmed by a new visualization of the two original data sets using the modified mapping algorithm.
{"title":"RadViz and Identification of Clusters in Multidimensional Data","authors":"Lenka Nováková, O. Štěpánková","doi":"10.1109/IV.2009.103","DOIUrl":"https://doi.org/10.1109/IV.2009.103","url":null,"abstract":"RadViz visualization makes it possible to map data from n-dimensional space into a plane. The paper reviews those specific properties of this method that are important for identification of clusters in the original multidimensional data. First, there is described an artificial data set which clearly points to a certain drawback of the original RadViz mapping. To resolve the identified problem there are suggested 2 minor modifications of the RadViz algorithm. Finally, it is proved that application of both suggested modifications guarantees that the upper mentioned problem does not re-appear. This claim is experimentally confirmed by a new visualization of the two original data sets using the modified mapping algorithm.","PeriodicalId":138829,"journal":{"name":"2009 13th International Conference Information Visualisation","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127027929","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}
T. Lammarsch, W. Aigner, A. Bertone, J. Gärtner, E. Mayr, S. Miksch, M. Smuc
Many real-world problems involve time-oriented data. Time data is different from other kinds of data--explicitly harnessing the structures of time in visualizations can guide and support users’ visual analysis processes. State-of-the-art visualizations hardly take advantage of the structures of time to aid users in understanding and exploring the data. To bring more flexibility to the analysis process, we have developed interactive visual methods incorporating the structures of time within a pixel-based visualization called GROOVE (granular overview overlay). GROOVE uses different techniques to visualize time-oriented data by overlaying several time granularities in one visualization and provides interactive operators, which utilize the structures of time in different ways to capture and explore time-oriented data.
{"title":"Hierarchical Temporal Patterns and Interactive Aggregated Views for Pixel-Based Visualizations","authors":"T. Lammarsch, W. Aigner, A. Bertone, J. Gärtner, E. Mayr, S. Miksch, M. Smuc","doi":"10.1109/IV.2009.52","DOIUrl":"https://doi.org/10.1109/IV.2009.52","url":null,"abstract":"Many real-world problems involve time-oriented data. Time data is different from other kinds of data--explicitly harnessing the structures of time in visualizations can guide and support users’ visual analysis processes. State-of-the-art visualizations hardly take advantage of the structures of time to aid users in understanding and exploring the data. To bring more flexibility to the analysis process, we have developed interactive visual methods incorporating the structures of time within a pixel-based visualization called GROOVE (granular overview overlay). GROOVE uses different techniques to visualize time-oriented data by overlaying several time granularities in one visualization and provides interactive operators, which utilize the structures of time in different ways to capture and explore time-oriented data.","PeriodicalId":138829,"journal":{"name":"2009 13th International Conference Information Visualisation","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129111391","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}
Victor Pascual-Cid, R. Baeza-Yates, J. C. Dürsteler, Sergi Minguez, C. Middleton
Understanding Web Navigational Data is a crucial task for Web analysts as it may influence the website improvement process. However, major Web analytics tools do not provide enough insight, taking into account the vast amount of data available in Web servers’ log files. Moreover, some analysts argue that those tools have a lack of rich visualisations that enable the exploration of such data. In this paper we introduce new techniques applied to a highly interactive and exploratory tool, to allow drilling down through Web usage data. The system uses a set of coordinated visual abstractions from website structure and users’ navigation to provide different perspectives and hence, to assist the conversion of data into knowledge.
{"title":"New Techniques for Visualising Web Navigational Data","authors":"Victor Pascual-Cid, R. Baeza-Yates, J. C. Dürsteler, Sergi Minguez, C. Middleton","doi":"10.1109/IV.2009.53","DOIUrl":"https://doi.org/10.1109/IV.2009.53","url":null,"abstract":"Understanding Web Navigational Data is a crucial task for Web analysts as it may influence the website improvement process. However, major Web analytics tools do not provide enough insight, taking into account the vast amount of data available in Web servers’ log files. Moreover, some analysts argue that those tools have a lack of rich visualisations that enable the exploration of such data. In this paper we introduce new techniques applied to a highly interactive and exploratory tool, to allow drilling down through Web usage data. The system uses a set of coordinated visual abstractions from website structure and users’ navigation to provide different perspectives and hence, to assist the conversion of data into knowledge.","PeriodicalId":138829,"journal":{"name":"2009 13th International Conference Information Visualisation","volume":"10 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113975640","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}
An interesting property of the commonly used parallel coordinates display is the distinct overall pattern formed by the totality of lines between adjacent axes. These patterns have a direct correspondence to the type of relationship existing between the variables mapped onto the axes in question as well as a salient visual appearance. Parallel coordinates displays can therefore be used to visually investigate relationships between variables as well as investigating individual objects/lines. The problem with this approach is that, whereas each object is mapped in its entirety in a standard parallel coordinates display, only a small subset of the interrelations between variables is shown as the number of variables increase. To show all possible relations between variables multiple parallel coordinates displays are needed. In turn this means that each variable is duplicated several times, once per extra parallel coordinates display. To a viewer this increases the visual complexity and most probably the mental load. To aid users we have devised a new configuration of the axes in multiple parallel coordinates displays. Through an experiment we have also started to investigate the usability of this new configuration and the results are promising.
{"title":"Many-to-Many Relational Parallel Coordinates Displays","authors":"M. Lind, J. Johansson, M. Cooper","doi":"10.1109/IV.2009.43","DOIUrl":"https://doi.org/10.1109/IV.2009.43","url":null,"abstract":"An interesting property of the commonly used parallel coordinates display is the distinct overall pattern formed by the totality of lines between adjacent axes. These patterns have a direct correspondence to the type of relationship existing between the variables mapped onto the axes in question as well as a salient visual appearance. Parallel coordinates displays can therefore be used to visually investigate relationships between variables as well as investigating individual objects/lines. The problem with this approach is that, whereas each object is mapped in its entirety in a standard parallel coordinates display, only a small subset of the interrelations between variables is shown as the number of variables increase. To show all possible relations between variables multiple parallel coordinates displays are needed. In turn this means that each variable is duplicated several times, once per extra parallel coordinates display. To a viewer this increases the visual complexity and most probably the mental load. To aid users we have devised a new configuration of the axes in multiple parallel coordinates displays. Through an experiment we have also started to investigate the usability of this new configuration and the results are promising.","PeriodicalId":138829,"journal":{"name":"2009 13th International Conference Information Visualisation","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121446786","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}
Interactive 3D geovirtual environments (GeoVE), such as 3D virtual city and landscape models, are important tools to communicate geo-spatial information. Usually, this includes static polygonal data (e.g., digital terrain model) and raster data (e.g., aerial images) which are composed from multiple data sources during a complex, only partial automatic pre-processing step. When dealing with highly dynamic geo-referenced raster data, such as the propagation of fires or floods, this pre-processing step hinders the direct application of 3D GeoVE for decision support systems. To compensate for this limitation, this paper presents a concept for dynamically mapping multiple layers of raster for interactive GeoVE. The implementation of our rendering technique is based on the concept of projective texture mapping and can be implemented efficiently using consumer graphics hardware. Further, this paper demonstrates the flexibility of our technique using a number of typical application examples.
{"title":"Dynamic Mapping of Raster-Data for 3D Geovirtual Environments","authors":"Matthias Trapp, J. Döllner","doi":"10.1109/IV.2009.28","DOIUrl":"https://doi.org/10.1109/IV.2009.28","url":null,"abstract":"Interactive 3D geovirtual environments (GeoVE), such as 3D virtual city and landscape models, are important tools to communicate geo-spatial information. Usually, this includes static polygonal data (e.g., digital terrain model) and raster data (e.g., aerial images) which are composed from multiple data sources during a complex, only partial automatic pre-processing step. When dealing with highly dynamic geo-referenced raster data, such as the propagation of fires or floods, this pre-processing step hinders the direct application of 3D GeoVE for decision support systems. To compensate for this limitation, this paper presents a concept for dynamically mapping multiple layers of raster for interactive GeoVE. The implementation of our rendering technique is based on the concept of projective texture mapping and can be implemented efficiently using consumer graphics hardware. Further, this paper demonstrates the flexibility of our technique using a number of typical application examples.","PeriodicalId":138829,"journal":{"name":"2009 13th International Conference Information Visualisation","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134568584","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}
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