https://infovis-wiki.net/w/api.php?action=feedcontributions&user=UE-InfoVis09-03&feedformat=atomInfoVis:Wiki - User contributions [en]2024-03-29T12:17:20ZUser contributionsMediaWiki 1.40.1https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21488Extreme visualization: squeezing a billion records into a million pixels2009-05-26T17:54:27Z<p>UE-InfoVis09-03: </p>
<hr />
<div>== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
To perform database searches usually query languages like SQL and form fill in templates are used, with results shown in tabular lists.<br />
<br />
<br />
However, more and more attention is drawn to dynamic queries sliders and other graphical selectors for query specification, with results displayed by information visualization techniques. These filtering techniques have proven to be effective for many tasks in which visual presentations enable discovery of relationships, clusters, outliers, gaps, and other patterns. <br />
<br />
<br />
The scaling of visual presentations from millions to billions of records will require collaborative research efforts in information visualization and database management to enable rapid aggregation, meaningful coordinated windows, and effective summary graphics.<br />
<br />
<br />
Current and proposed solutions that facilitate sense-making for interactive visual exploration of billion record data sets are<br />
* atomic, <br />
* aggregated, <br />
* and density plots. <br />
<br />
<br />
== Suitable Datatypes ==<br />
Information visualizations are designed to deal with multi-dimensional and more importantly multi-variate data.<br />
<br />
<br />
In addation to <br />
* integer, <br />
* categorical, <br />
* real, <br />
* and nominal <br />
information visualizations often deal with even richer data types.<br />
<br />
<br />
The four types <br />
* multi-variate, <br />
* time series, <br />
* tree, <br />
* and network<br />
<br />
are tied to tasks such as finding clusters, gaps, outliers, trends, and relationships. <br />
<br />
<br />
== Figures ==<br />
=== Atomic Visualizations ===<br />
<br />
[[image: Figure2.jpg]]<br />
<br />
Million node treemap showing the directory structure on a file server. Different colors encode file time, the area encodes the file size. So if zooming is allowed or special algorithms are used to limit drawing of lower level nodes, the visualization of a million nodes on a single display is possible.<br />
<br />
=== Aggregate Visualizations ===<br />
<br />
Clicking on a aggregation marker will cause an expansion in place, but it's more effectively to use coordinated windows for displaying the single components. This technique allows the user to study an overview map and then select a region to see more detailed information in the coordinated window.<br />
<br />
[[image: Figure5.jpg]]<br />
<br />
This Graphical Interface for Digital Libraries offers a scalable approach where each axis is an expandable hierarchy. Each grid cell shows up to 49 colored dots for documents, and shifts to an aggregation marker in the form of a bar chart. Clicking on a grid cell produces a listing of titles in the upper right window. Clicking on a title produces the catalog description in the bottom right window.<br />
<br />
=== Density Plot Visualizations ===<br />
<br />
Density Plots show a concentration of markers, which could be interpreted as a two-dimensional histogram.<br />
For time series data, density plots can show concentrations of time points.A good model is the work on cluster displays in<br />
parallel coordinate views.<br />
<br />
[[image: Figure12.jpg]]<br />
<br />
Parallel coordinate shows 230,000 records in a fatal accident database on the left. The variable opacity bands show meaningful clusters on the right.<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation/Usage ==<br />
* Spotfire<br />
* Tableau <br />
Handle at least a million records, provide dynamic query filtering and redisplay at interactive rates to support rapid exploration.<br />
<br />
<br />
* Hyperion <br />
* CrystalReports<br />
Are Online Analytic Processing (OLAP) systems<br />
<br />
<br />
* Hierarchical Clustering Explorer (HCE) <br />
Implements the strategy of ranking strength of features.<br />
<br />
<br />
* SpaceTree <br />
* DOITree <br />
Give user control over which nodes are exposed.<br />
<br />
<br />
* Treemap 4.0 <br />
Allows a color coded density plot that shows the number of nodes or aggregate values of node attributes.<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]<br />
<br />
[http://www.cs.umd.edu/hcil/west-legal/gridl/ GRIDL - Graphical Interface for Digital Libraries]<br />
<br />
<br />
== Internal References ==<br />
[http://infovis-wiki.net/index.php?title=Treemap Treemap]<br />
<br />
[http://infovis-wiki.net/index.php?title=Zoom Zoom]<br />
<br />
[http://infovis-wiki.net/index.php?title=Filtering Filtering]<br />
<br />
[[category: techniques]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21487Extreme visualization: squeezing a billion records into a million pixels2009-05-26T17:53:32Z<p>UE-InfoVis09-03: </p>
<hr />
<div>== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
To perform database searches usually query languages like SQL and form fill in templates are used, with results shown in tabular lists.<br />
<br />
<br />
However, more and more attention is drawn to dynamic queries sliders and other graphical selectors for query specification, with results displayed by information visualization techniques. These filtering techniques have proven to be effective for many tasks in which visual presentations enable discovery of relationships, clusters, outliers, gaps, and other patterns. <br />
<br />
<br />
The scaling of visual presentations from millions to billions of records will require collaborative research efforts in information visualization and database management to enable rapid aggregation, meaningful coordinated windows, and effective summary graphics.<br />
<br />
<br />
Current and proposed solutions that facilitate sense-making for interactive visual exploration of billion record data sets are<br />
* atomic, <br />
* aggregated, <br />
* and density plots. <br />
<br />
<br />
== Suitable Datatypes ==<br />
Information visualizations are designed to deal with multi-dimensional and more importantly multi-variate data.<br />
<br />
<br />
In addation to <br />
* integer, <br />
* categorical, <br />
* real, <br />
* and nominal <br />
information visualizations often deal with even richer data types.<br />
<br />
<br />
The four types <br />
* multi-variate, <br />
* time series, <br />
* tree, <br />
* and network<br />
<br />
are tied to tasks such as finding clusters, gaps, outliers, trends, and relationships. <br />
<br />
<br />
== Figures ==<br />
=== Atomic Visualizations ===<br />
<br />
[[image: Figure2.jpg]]<br />
<br />
Million node treemap showing the directory structure on a file server. Different colors encode file time, the area encodes the file size. So if zooming is allowed or special algorithms are used to limit drawing of lower level nodes, the visualization of a million nodes on a single display is possible.<br />
<br />
=== Aggregate Visualizations ===<br />
<br />
Clicking on a aggregation marker will cause an expansion in place, but it's more effectively to use coordinated windows for displaying the single components. This technique allows the user to study an overview map and then select a region to see more detailed information in the coordinated window.<br />
<br />
[[image: Figure5.jpg]]<br />
<br />
This Graphical Interface for Digital Libraries offers a scalable approach where each axis is an expandable hierarchy. Each grid cell shows up to 49 colored dots for documents, and shifts to an aggregation marker in the form of a bar chart. Clicking on a grid cell produces a listing of titles in the upper right window. Clicking on a title produces the catalog description in the bottom right window.<br />
<br />
=== Density Plot Visualizations ===<br />
<br />
Density Plots show a concentration of markers, which could be interpreted as a two-dimensional histogram.<br />
For time series data, density plots can show concentrations of time points.A good model is the work on cluster displays in<br />
parallel coordinate views.<br />
<br />
[[image: Figure12.jpg]]<br />
<br />
Parallel coordinate shows 230,000 records in a fatal accident database on the left. The variable opacity bands show meaningful clusters on the right.<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation/Usage ==<br />
* Spotfire<br />
* Tableau <br />
Handle at least a million records, provide dynamic query filtering and redisplay at interactive rates to support rapid exploration.<br />
<br />
<br />
* Hyperion <br />
* CrystalReports<br />
Are Online Analytic Processing (OLAP) systems<br />
<br />
<br />
* Hierarchical Clustering Explorer (HCE) <br />
Implements the strategy of ranking strength of features.<br />
<br />
<br />
* SpaceTree <br />
* DOITree <br />
Give user control over which nodes are exposed.<br />
<br />
<br />
* Treemap 4.0 <br />
Allows a color coded density plot that shows the number of nodes or aggregate values of node attributes.<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]<br />
<br />
[http://www.cs.umd.edu/hcil/west-legal/gridl/ GRIDL]<br />
<br />
<br />
== Internal References ==<br />
[http://infovis-wiki.net/index.php?title=Treemap Treemap]<br />
<br />
[http://infovis-wiki.net/index.php?title=Zoom Zoom]<br />
<br />
[http://infovis-wiki.net/index.php?title=Filtering Filtering]<br />
<br />
[[category: techniques]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21486Extreme visualization: squeezing a billion records into a million pixels2009-05-26T17:52:55Z<p>UE-InfoVis09-03: </p>
<hr />
<div>== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
To perform database searches usually query languages like SQL and form fill in templates are used, with results shown in tabular lists.<br />
<br />
<br />
However, more and more attention is drawn to dynamic queries sliders and other graphical selectors for query specification, with results displayed by information visualization techniques. These filtering techniques have proven to be effective for many tasks in which visual presentations enable discovery of relationships, clusters, outliers, gaps, and other patterns. <br />
<br />
<br />
The scaling of visual presentations from millions to billions of records will require collaborative research efforts in information visualization and database management to enable rapid aggregation, meaningful coordinated windows, and effective summary graphics.<br />
<br />
<br />
Current and proposed solutions that facilitate sense-making for interactive visual exploration of billion record data sets are<br />
* atomic, <br />
* aggregated, <br />
* and density plots. <br />
<br />
<br />
== Suitable Datatypes ==<br />
Information visualizations are designed to deal with multi-dimensional and more importantly multi-variate data.<br />
<br />
<br />
In addation to <br />
* integer, <br />
* categorical, <br />
* real, <br />
* and nominal <br />
information visualizations often deal with even richer data types.<br />
<br />
<br />
The four types <br />
* multi-variate, <br />
* time series, <br />
* tree, <br />
* and network<br />
<br />
are tied to tasks such as finding clusters, gaps, outliers, trends, and relationships. <br />
<br />
<br />
== Figures ==<br />
=== Atomic Visualizations ===<br />
<br />
[[image: Figure2.jpg]]<br />
<br />
Million node treemap showing the directory structure on a file server. Different colors encode file time, the area encodes the file size. So if zooming is allowed or special algorithms are used to limit drawing of lower level nodes, the visualization of a million nodes on a single display is possible.<br />
<br />
=== Aggregate Visualizations ===<br />
<br />
Clicking on a aggregation marker will cause an expansion in place, but it's more effectively to use coordinated windows for displaying the single components. This technique allows the user to study an overview map and then select a region to see more detailed information in the coordinated window.<br />
<br />
[[image: Figure5.jpg]]<br />
<br />
This Graphical Interface for Digital Libraries offers a scalable approach where each axis is an expandable hierarchy. Each grid cell shows up to 49 colored dots for documents, and shifts to an aggregation marker in the form of a bar chart. Clicking on a grid cell produces a listing of titles in the upper right window. Clicking on a title produces the catalog description in the bottom right window.<br />
<br />
=== Density Plot Visualizations ===<br />
<br />
Density Plots show a concentration of markers, which could be interpreted as a two-dimensional histogram.<br />
For time series data, density plots can show concentrations of time points.A good model is the work on cluster displays in<br />
parallel coordinate views.<br />
<br />
[[image: Figure12.jpg]]<br />
<br />
Parallel coordinate shows 230,000 records in a fatal accident database on the left. The variable opacity bands show meaningful clusters on the right.<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation/Usage ==<br />
* Spotfire<br />
* Tableau <br />
Handle at least a million records, provide dynamic query filtering and redisplay at interactive rates to support rapid exploration.<br />
<br />
<br />
* Hyperion <br />
* CrystalReports<br />
Are Online Analytic Processing (OLAP) systems<br />
<br />
<br />
* Hierarchical Clustering Explorer (HCE) <br />
Implements the strategy of ranking strength of features.<br />
<br />
<br />
* SpaceTree <br />
* DOITree <br />
Give user control over which nodes are exposed.<br />
<br />
<br />
* Treemap 4.0 <br />
Allows a color coded density plot that shows the number of nodes or aggregate values of node attributes.<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]<br />
<br />
[www.cs.umd.edu/hcil/west-legal/gridl/ GRIDL]<br />
<br />
<br />
== Internal References ==<br />
[http://infovis-wiki.net/index.php?title=Treemap Treemap]<br />
<br />
[http://infovis-wiki.net/index.php?title=Zoom Zoom]<br />
<br />
[http://infovis-wiki.net/index.php?title=Filtering Filtering]<br />
<br />
[[category: techniques]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21485Extreme visualization: squeezing a billion records into a million pixels2009-05-26T17:43:27Z<p>UE-InfoVis09-03: </p>
<hr />
<div>== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
To perform database searches usually query languages like SQL and form fill in templates are used, with results shown in tabular lists.<br />
<br />
<br />
However, more and more attention is drawn to dynamic queries sliders and other graphical selectors for query specification, with results displayed by information visualization techniques. These filtering techniques have proven to be effective for many tasks in which visual presentations enable discovery of relationships, clusters, outliers, gaps, and other patterns. <br />
<br />
<br />
The scaling of visual presentations from millions to billions of records will require collaborative research efforts in information visualization and database management to enable rapid aggregation, meaningful coordinated windows, and effective summary graphics.<br />
<br />
<br />
Current and proposed solutions that facilitate sense-making for interactive visual exploration of billion record data sets are<br />
* atomic, <br />
* aggregated, <br />
* and density plots. <br />
<br />
<br />
== Suitable Datatypes ==<br />
Information visualizations are designed to deal with multi-dimensional and more importantly multi-variate data.<br />
<br />
<br />
In addation to <br />
* integer, <br />
* categorical, <br />
* real, <br />
* and nominal <br />
information visualizations often deal with even richer data types.<br />
<br />
<br />
The four types <br />
* multi-variate, <br />
* time series, <br />
* tree, <br />
* and network<br />
<br />
are tied to tasks such as finding clusters, gaps, outliers, trends, and relationships. <br />
<br />
<br />
== Figures ==<br />
=== Atomic Visualizations ===<br />
<br />
[[image: Figure2.jpg]]<br />
<br />
Million node treemap showing the directory structure on a file server. Different colors encode file time, the area encodes the file size. So if zooming is allowed or special algorithms are used to limit drawing of lower level nodes, the visualization of a million nodes on a single display is possible.<br />
<br />
=== Aggregate Visualizations ===<br />
<br />
Clicking on a aggregation marker will cause an expansion in place, but it's more effectively to use coordinated windows for displaying the single components. This technique allows the user to study an overview map and then select a region to see more detailed information in the coordinated window.<br />
<br />
[[image: Figure5.jpg]]<br />
<br />
This Graphical Interface for Digital Libraries offers a scalable approach where each axis is an expandable hierarchy. Each grid cell shows up to 49 colored dots for documents, and shifts to an aggregation marker in the form of a bar chart. Clicking on a grid cell produces a listing of titles in the upper right window. Clicking on a title produces the catalog description in the bottom right window.<br />
<br />
=== Density Plot Visualizations ===<br />
<br />
Density Plots show a concentration of markers, which could be interpreted as a two-dimensional histogram.<br />
For time series data, density plots can show concentrations of time points.A good model is the work on cluster displays in<br />
parallel coordinate views.<br />
<br />
[[image: Figure12.jpg]]<br />
<br />
Parallel coordinate shows 230,000 records in a fatal accident database on the left. The variable opacity bands show meaningful clusters on the right.<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation/Usage ==<br />
* Spotfire<br />
* Tableau <br />
Handle at least a million records, provide dynamic query filtering and redisplay at interactive rates to support rapid exploration.<br />
<br />
<br />
* Hyperion <br />
* CrystalReports<br />
Are Online Analytic Processing (OLAP) systems<br />
<br />
<br />
* Hierarchical Clustering Explorer (HCE) <br />
Implements the strategy of ranking strength of features.<br />
<br />
<br />
* SpaceTree <br />
* DOITree <br />
Give user control over which nodes are exposed.<br />
<br />
<br />
* Treemap 4.0 <br />
Allows a color coded density plot that shows the number of nodes or aggregate values of node attributes.<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]<br />
<br />
<br />
== Internal References ==<br />
[http://infovis-wiki.net/index.php?title=Treemap Treemap]<br />
<br />
[http://infovis-wiki.net/index.php?title=Zoom Zoom]<br />
<br />
[http://infovis-wiki.net/index.php?title=Filtering Filtering]<br />
<br />
[[category: techniques]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21483Extreme visualization: squeezing a billion records into a million pixels2009-05-26T17:42:39Z<p>UE-InfoVis09-03: </p>
<hr />
<div>== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
To perform database searches usually query languages like SQL and form fill in templates are used, with results shown in tabular lists.<br />
<br />
<br />
However, more and more attention is drawn to dynamic queries sliders and other graphical selectors for query specification, with results displayed by information visualization techniques. These filtering techniques have proven to be effective for many tasks in which visual presentations enable discovery of relationships, clusters, outliers, gaps, and other patterns. <br />
<br />
<br />
The scaling of visual presentations from millions to billions of records will require collaborative research efforts in information visualization and database management to enable rapid aggregation, meaningful coordinated windows, and effective summary graphics.<br />
<br />
<br />
Current and proposed solutions that facilitate sense-making for interactive visual exploration of billion record data sets are<br />
* atomic, <br />
* aggregated, <br />
* and density plots. <br />
<br />
<br />
== Suitable Datatypes ==<br />
Information visualizations are designed to deal with multi-dimensional and more importantly multi-variate data.<br />
<br />
<br />
In addation to <br />
* integer, <br />
* categorical, <br />
* real, <br />
* and nominal <br />
information visualizations often deal with even richer data types.<br />
<br />
<br />
The four types <br />
* multi-variate, <br />
* time series, <br />
* tree, <br />
* and network<br />
<br />
are tied to tasks such as finding clusters, gaps, outliers, trends, and relationships. <br />
<br />
<br />
== Figures ==<br />
=== Atomic Visualizations ===<br />
<br />
[[image: Figure2.jpg]]<br />
<br />
Million node treemap showing the directory structure on a file server. Different colors encode file time, the area encodes the file size. So if zooming is allowed or special algorithms are used to limit drawing of lower level nodes, the visualization of a million nodes on a single display is possible.<br />
<br />
=== Aggregate Visualizations ===<br />
<br />
Clicking on a aggregation marker will cause an expansion in place, but it's more effectively to use coordinated windows for displaying the single components. This technique allows the user to study an overview map and then select a region to see more detailed information in the coordinated window.<br />
<br />
[[image: Figure5.jpg]]<br />
<br />
This Graphical Interface for Digital Libraries offers a scalable approach where each axis is an expandable hierarchy. Each grid cell shows up to 49 colored dots for documents, and shifts to an aggregation marker in the form of a bar chart. Clicking on a grid cell produces a listing of titles in the upper right window. Clicking on a title produces the catalog description in the bottom right window.<br />
<br />
=== Density Plot Visualizations ===<br />
<br />
Density Plots show a concentration of markers, which could be interpreted as a two-dimensional histogram.<br />
For time series data, density plots can show concentrations of time points.A good model is the work on cluster displays in<br />
parallel coordinate views.<br />
<br />
[[image: Figure12.jpg]]<br />
<br />
Parallel coordinate shows 230,000 records in a fatal accident database on the left. The variable opacity bands show meaningful clusters on the right.<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation/Usage ==<br />
* Spotfire<br />
* Tableau <br />
Handle at least a million records, provide dynamic query filtering and redisplay at interactive rates to support rapid exploration.<br />
<br />
<br />
* Hyperion <br />
* CrystalReports<br />
Are Online Analytic Processing (OLAP) systems<br />
<br />
<br />
* Hierarchical Clustering Explorer (HCE) <br />
Implements the strategy of ranking strength of features.<br />
<br />
<br />
* SpaceTree <br />
* DOITree <br />
Give user control over which nodes are exposed.<br />
<br />
<br />
* Treemap 4.0 <br />
Allows a color coded density plot that shows the number of nodes or aggregate values of node attributes.<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]<br />
<br />
<br />
== Internal References ==<br />
[http://infovis-wiki.net/index.php?title=Treemap Treemap]<br />
[http://infovis-wiki.net/index.php?title=Zoom Zoom]<br />
[http://infovis-wiki.net/index.php?title=Filtering Filtering]<br />
<br />
[[category: techniques]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21482Extreme visualization: squeezing a billion records into a million pixels2009-05-26T17:35:54Z<p>UE-InfoVis09-03: </p>
<hr />
<div>= UNDER CONSTRUCTION =<br />
<br />
== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
To perform database searches usually query languages like SQL and form fill in templates are used, with results shown in tabular lists.<br />
<br />
<br />
However, more and more attention is drawn to dynamic queries sliders and other graphical selectors for query specification, with results displayed by information visualization techniques. These filtering techniques have proven to be effective for many tasks in which visual presentations enable discovery of relationships, clusters, outliers, gaps, and other patterns. <br />
<br />
<br />
The scaling of visual presentations from millions to billions of records will require collaborative research efforts in information visualization and database management to enable rapid aggregation, meaningful coordinated windows, and effective summary graphics.<br />
<br />
<br />
Current and proposed solutions that facilitate sense-making for interactive visual exploration of billion record data sets are<br />
* atomic, <br />
* aggregated, <br />
* and density plots. <br />
<br />
<br />
== Suitable Datatypes ==<br />
Information visualizations are designed to deal with multi-dimensional and more importantly multi-variate data.<br />
<br />
<br />
In addation to <br />
* integer, <br />
* categorical, <br />
* real, <br />
* and nominal <br />
information visualizations often deal with even richer data types.<br />
<br />
<br />
The four types <br />
* multi-variate, <br />
* time series, <br />
* tree, <br />
* and network<br />
<br />
are tied to tasks such as finding clusters, gaps, outliers, trends, and relationships. <br />
<br />
<br />
== Figures ==<br />
=== Atomic Visualizations ===<br />
<br />
[[image: Figure2.jpg]]<br />
<br />
Million node treemap showing the directory structure on a file server. Different colors encode file time, the area encodes the file size. So if zooming is allowed or special algorithms are used to limit drawing of lower level nodes, the visualization of a million nodes on a single display is possible.<br />
<br />
=== Aggregate Visualizations ===<br />
<br />
Clicking on a aggregation marker will cause an expansion in place, but it's more effectively to use coordinated windows for displaying the single components. This technique allows the user to study an overview map and then select a region to see more detailed information in the coordinated window.<br />
<br />
[[image: Figure5.jpg]]<br />
<br />
This Graphical Interface for Digital Libraries offers a scalable approach where each axis is an expandable hierarchy. Each grid cell shows up to 49 colored dots for documents, and shifts to an aggregation marker in the form of a bar chart. Clicking on a grid cell produces a listing of titles in the upper right window. Clicking on a title produces the catalog description in the bottom right window.<br />
<br />
=== Density Plot Visualizations ===<br />
<br />
Density Plots show a concentration of markers, which could be interpreted as a two-dimensional histogram.<br />
For time series data, density plots can show concentrations of time points.A good model is the work on cluster displays in<br />
parallel coordinate views.<br />
<br />
[[image: Figure12.jpg]]<br />
<br />
Parallel coordinate shows 230,000 records in a fatal accident database on the left. The variable opacity bands show meaningful clusters on the right.<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation/Usage ==<br />
* Spotfire<br />
* Tableau <br />
Handle at least a million records, provide dynamic query filtering and redisplay at interactive rates to support rapid exploration.<br />
<br />
<br />
* Hyperion <br />
* CrystalReports<br />
Are Online Analytic Processing (OLAP) systems<br />
<br />
<br />
* Hierarchical Clustering Explorer (HCE) <br />
Implements the strategy of ranking strength of features.<br />
<br />
<br />
* SpaceTree <br />
* DOITree <br />
Give user control over which nodes are exposed.<br />
<br />
<br />
* Treemap 4.0 <br />
Allows a color coded density plot that shows the number of nodes or aggregate values of node attributes.<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]<br />
<br />
<br />
== Internal References ==<br />
[http://infovis-wiki.net/index.php?title=Treemap Treemap]<br />
<br />
[[category: techniques]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21481Extreme visualization: squeezing a billion records into a million pixels2009-05-26T17:34:53Z<p>UE-InfoVis09-03: </p>
<hr />
<div>= UNDER CONSTRUCTION =<br />
<br />
== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
To perform database searches usually query languages like SQL and form fill in templates are used, with results shown in tabular lists.<br />
<br />
<br />
However, more and more attention is drawn to dynamic queries sliders and other graphical selectors for query specification, with results displayed by information visualization techniques. These filtering techniques have proven to be effective for many tasks in which visual presentations enable discovery of relationships, clusters, outliers, gaps, and other patterns. <br />
<br />
<br />
The scaling of visual presentations from millions to billions of records will require collaborative research efforts in information visualization and database management to enable rapid aggregation, meaningful coordinated windows, and effective summary graphics.<br />
<br />
<br />
Current and proposed solutions that facilitate sense-making for interactive visual exploration of billion record data sets are<br />
* atomic, <br />
* aggregated, <br />
* and density plots. <br />
<br />
<br />
== Suitable Datatypes ==<br />
Information visualizations are designed to deal with multi-dimensional and more importantly multi-variate data.<br />
<br />
<br />
In addation to <br />
* integer, <br />
* categorical, <br />
* real, <br />
* and nominal <br />
information visualizations often deal with even richer data types.<br />
<br />
<br />
The four types <br />
* multi-variate, <br />
* time series, <br />
* tree, <br />
* and network<br />
<br />
are tied to tasks such as finding clusters, gaps, outliers, trends, and relationships. <br />
<br />
<br />
== Figures ==<br />
=== Atomic Visualizations ===<br />
<br />
[[image: Figure2.jpg]]<br />
<br />
Million node treemap showing the directory structure on a file server. Different colors encode file time, the area encodes the file size. So if zooming is allowed or special algorithms are used to limit drawing of lower level nodes, the visualization of a million nodes on a single display is possible.<br />
<br />
=== Aggregate Visualizations ===<br />
<br />
Clicking on a aggregation marker will cause an expansion in place, but it's more effectively to use coordinated windows for displaying the single components. This technique allows the user to study an overview map and then select a region to see more detailed information in the coordinated window.<br />
<br />
[[image: Figure5.jpg]]<br />
<br />
This Graphical Interface for Digital Libraries offers a scalable approach where each axis is an expandable hierarchy. Each grid cell shows up to 49 colored dots for documents, and shifts to an aggregation marker in the form of a bar chart. Clicking on a grid cell produces a listing of titles in the upper right window. Clicking on a title produces the catalog description in the bottom right window.<br />
<br />
=== Density Plot Visualizations ===<br />
<br />
Density Plots show a concentration of markers, which could be interpreted as a two-dimensional histogram.<br />
For time series data, density plots can show conccentrations of time points.A good model is the work on cluster displays in<br />
parallel coordinate views.<br />
<br />
[[image: Figure12.jpg]]<br />
<br />
Parallel coordinate shows 230,000 records in a fatal accident database on the left. The variable opacity bands show meaningful clusters on the right.<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation/Usage ==<br />
* Spotfire<br />
* Tableau <br />
Handle at least a million records, provide dynamic query filtering and redisplay at interactive rates to support rapid exploration.<br />
<br />
<br />
* Hyperion <br />
* CrystalReports<br />
Are Online Analytic Processing (OLAP) systems<br />
<br />
<br />
* Hierarchical Clustering Explorer (HCE) <br />
Implements the strategy of ranking strength of features.<br />
<br />
<br />
* SpaceTree <br />
* DOITree <br />
Give user control over which nodes are exposed.<br />
<br />
<br />
* Treemap 4.0 <br />
Allows a color coded density plot that shows the number of nodes or aggregate values of node attributes.<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]<br />
<br />
<br />
== Internal References ==<br />
[http://infovis-wiki.net/index.php?title=Treemap Treemap]<br />
<br />
[[category: techniques]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21480Extreme visualization: squeezing a billion records into a million pixels2009-05-26T17:31:35Z<p>UE-InfoVis09-03: </p>
<hr />
<div>= UNDER CONSTRUCTION =<br />
<br />
== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
To perform database searches usually query languages like SQL and form fill in templates are used, with results shown in tabular lists.<br />
<br />
<br />
However, more and more attention is drawn to dynamic queries sliders and other graphical selectors for query specification, with results displayed by information visualization techniques. These filtering techniques have proven to be effective for many tasks in which visual presentations enable discovery of relationships, clusters, outliers, gaps, and other patterns. <br />
<br />
<br />
The scaling of visual presentations from millions to billions of records will require collaborative research efforts in information visualization and database management to enable rapid aggregation, meaningful coordinated windows, and effective summary graphics.<br />
<br />
<br />
Current and proposed solutions that facilitate sense-making for interactive visual exploration of billion record data sets are<br />
* atomic, <br />
* aggregated, <br />
* and density plots. <br />
<br />
<br />
== Suitable Datatypes ==<br />
Information visualizations are designed to deal with multi-dimensional and more importantly multi-variate data.<br />
<br />
<br />
In addation to <br />
* integer, <br />
* categorical, <br />
* real, <br />
* and nominal <br />
information visualizations often deal with even richer data types.<br />
<br />
<br />
The four types <br />
* multi-variate, <br />
* time series, <br />
* tree, <br />
* and network<br />
<br />
are tied to tasks such as finding clusters, gaps, outliers, trends, and relationships. <br />
<br />
<br />
== Figures ==<br />
=== Atomic Visualizations ===<br />
<br />
[[image: Figure2.jpg]]<br />
<br />
Million node treemap showing the directory structure on a file server. Different colors encode file time, the area encodes the file size. So if zooming is allowed or special algorithms are used to limit drawing of lower level nodes, the visualization of a million nodes on a single display is possible.<br />
<br />
=== Aggregate Visualizations ===<br />
<br />
Clicking on a aggregation marker will cause an expansion in place, but it's more effectively to use coordinated windows for displaying the single components. This technique allows the user to study an overview map and then select a region to see more detailed information in the coordinated window.<br />
<br />
[[image: Figure5.jpg]]<br />
<br />
This Graphical Interface for Digital Libraries offers a scalable approach where each axis is an expandable hierarchy. Each grid cell shows up to 49 colored dots for documents, and shifts to an aggregation marker in the form of a bar chart. Clicking on a grid cell produces a listing of titles in the upper right window. Clicking on a title produces the catalog description in the bottom right window.<br />
<br />
=== Density Plot Visualizations ===<br />
<br />
Density Plots show a concentration of markers, which could be interpreted as a two-dimensional histogram.<br />
For time series data, density plots can show conccentrations of time points.A good model is the work on cluster displays in<br />
parallel coordinate views.<br />
<br />
[[image: Figure12.jpg]]<br />
<br />
Parallel coordinate shows 230,000 records in a fatal accident database on the left. The variable opacity bands show meaningful clusters on the right.<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation ==<br />
<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]<br />
<br />
<br />
== Internal References ==<br />
[http://infovis-wiki.net/index.php?title=Treemap Treemap]<br />
<br />
[[category: techniques]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21479Extreme visualization: squeezing a billion records into a million pixels2009-05-26T17:30:02Z<p>UE-InfoVis09-03: </p>
<hr />
<div>= UNDER CONSTRUCTION =<br />
<br />
== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
To perform database searches usually query languages like SQL and form fill in templates are used, with results shown in tabular lists.<br />
<br />
<br />
However, more and more attention is drawn to dynamic queries sliders and other graphical selectors for query specification, with results displayed by information visualization techniques. These filtering techniques have proven to be effective for many tasks in which visual presentations enable discovery of relationships, clusters, outliers, gaps, and other patterns. <br />
<br />
<br />
The scaling of visual presentations from millions to billions of records will require collaborative research efforts in information visualization and database management to enable rapid aggregation, meaningful coordinated windows, and effective summary graphics.<br />
<br />
<br />
Current and proposed solutions that facilitate sense-making for interactive visual exploration of billion record data sets are<br />
* atomic, <br />
* aggregated, <br />
* and density plots. <br />
<br />
<br />
== Suitable Datatypes ==<br />
Information visualizations are designed to deal with multi-dimensional and more importantly multi-variate data.<br />
<br />
<br />
In addation to <br />
* integer, <br />
* categorical, <br />
* real, <br />
* and nominal <br />
information visualizations often deal with even richer data types.<br />
<br />
<br />
The four types <br />
* multi-variate, <br />
* time series, <br />
* tree, <br />
* and network<br />
<br />
are tied to tasks such as finding clusters, gaps, outliers, trends, and relationships. <br />
<br />
<br />
== Figures ==<br />
=== Atomic Visualizations ===<br />
<br />
[[image: Figure2.jpg]]<br />
<br />
Million node treemap showing the directory structure on a file server. Different colors encode file time, the area encodes the file size. So if zooming is allowed or special algorithms are used to limit drawing of lower level nodes, the visualization of a million nodes on a single display is possible.<br />
<br />
=== Aggregate Visualizations ===<br />
<br />
Clicking on a aggregation marker will cause an expansion in place, but it's more effectively to use coordinated windows for displaying the single components. This technique allows the user to study an overview map and then select a region to see more detailed information in the coordinated window.<br />
<br />
[[image: Figure5.jpg]]<br />
<br />
This Graphical Interface for Digital Libraries offers a scalable approach where each axis is an expandable hierarchy. Each grid cell shows up to 49 colored dots for documents, and shifts to an aggregation marker in the form of a bar chart. Clicking on a grid cell produces a listing of titles in the upper right window. Clicking on a title produces the catalog description in the bottom right window.<br />
<br />
<br />
=== Density Plot Visualizations ===<br />
<br />
Density Plots show a concentration of markers, which could be interpreted as a two-dimensional histogram.<br />
For time series data, density plots can show conccentrations of time points.A good model is the work on cluster displays in<br />
parallel coordinate views.<br />
<br />
[[image: Figure12.jpg]]<br />
<br />
Parallel coordinate shows 230,000 records in a fatal accident database on the left. The variable opacity bands show meaningful clusters on the right.<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation ==<br />
<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]<br />
<br />
<br />
== Internal References ==<br />
[http://infovis-wiki.net/index.php?title=Treemap Treemap]<br />
<br />
[[category: techniques]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21419Extreme visualization: squeezing a billion records into a million pixels2009-05-26T07:07:51Z<p>UE-InfoVis09-03: </p>
<hr />
<div>= UNDER CONSTRUCTION =<br />
<br />
== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
To perform database searches usually query languages like SQL and form fill in templates are used, with results shown in tabular lists.<br />
<br />
<br />
However, more and more attention is drawn to dynamic queries sliders and other graphical selectors for query specification, with results displayed by information visualization techniques. These filtering techniques have proven to be effective for many tasks in which visual presentations enable discovery of relationships, clusters, outliers, gaps, and other patterns. <br />
<br />
<br />
The scaling of visual presentations from millions to billions of records will require collaborative research efforts in information visualization and database management to enable rapid aggregation, meaningful coordinated windows, and effective summary graphics.<br />
<br />
<br />
Current and proposed solutions that facilitate sense-making for interactive visual exploration of billion record data sets are<br />
* atomic, <br />
* aggregated, <br />
* and density plots. <br />
<br />
<br />
== Suitable Datatypes ==<br />
Information visualizations are designed to deal with multi-dimensional and more importantly multi-variate data.<br />
<br />
<br />
In addation to <br />
* integer, <br />
* categorical, <br />
* real, <br />
* and nominal <br />
information visualizations often deal with even richer data types.<br />
<br />
<br />
The four types <br />
* multi-variate, <br />
* time series, <br />
* tree, <br />
* and network<br />
<br />
are tied to tasks such as finding clusters, gaps, outliers, trends, and relationships. <br />
<br />
<br />
== Figures ==<br />
[[image: Figure1.jpg]]<br />
[[image: Figure2.jpg]]<br />
[[image: Figure3.jpg]]<br />
[[image: Figure4.jpg]]<br />
[[image: Figure5.jpg]]<br />
[[image: Figure6.jpg]]<br />
[[image: Figure7.jpg]]<br />
[[image: Figure8jpg]]<br />
[[image: Figure9.jpg]]<br />
[[image: Figure10.jpg]]<br />
[[image: Figure11.jpg]]<br />
[[image: Figure12.jpg]]<br />
[[image: Figure13.jpg]]<br />
[[image: Figure14.jpg]]<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation ==<br />
<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]<br />
<br />
<br />
== Internal References ==<br />
[http://infovis-wiki.net/index.php?title=Treemap Treemap]<br />
<br />
[[category: techniques]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21418Extreme visualization: squeezing a billion records into a million pixels2009-05-26T06:46:02Z<p>UE-InfoVis09-03: </p>
<hr />
<div>= UNDER CONSTRUCTION =<br />
<br />
== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
<br />
<br />
== Suitable Datatypes ==<br />
Information visualizations are designed to deal with multi-dimensional and more importantly multi-variate data.<br />
<br />
<br />
In addation to <br />
* integer, <br />
* categorical, <br />
* real, <br />
* and nominal <br />
information visualizations often deal with even richer data types.<br />
<br />
<br />
The four types <br />
* multi-variate, <br />
* time series, <br />
* tree, <br />
* and network<br />
<br />
are tied to tasks such as finding clusters, gaps, outliers, trends, and relationships. <br />
<br />
<br />
== Figures ==<br />
[[image: Figure1.jpg]]<br />
[[image: Figure2.jpg]]<br />
[[image: Figure3.jpg]]<br />
[[image: Figure4.jpg]]<br />
[[image: Figure5.jpg]]<br />
[[image: Figure6.jpg]]<br />
[[image: Figure7.jpg]]<br />
[[image: Figure8jpg]]<br />
[[image: Figure9.jpg]]<br />
[[image: Figure10.jpg]]<br />
[[image: Figure11.jpg]]<br />
[[image: Figure12.jpg]]<br />
[[image: Figure13.jpg]]<br />
[[image: Figure14.jpg]]<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation ==<br />
<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]<br />
<br />
<br />
== Internal References ==<br />
[http://infovis-wiki.net/index.php?title=Treemap Treemap]<br />
<br />
[[category: techniques]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21417Extreme visualization: squeezing a billion records into a million pixels2009-05-25T19:03:48Z<p>UE-InfoVis09-03: </p>
<hr />
<div>= UNDER CONSTRUCTION =<br />
<br />
== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
<br />
<br />
== Suitable Datatypes ==<br />
<br />
<br />
== Figures ==<br />
[[image: Figure1.jpg]]<br />
[[image: Figure2.jpg]]<br />
[[image: Figure3.jpg]]<br />
[[image: Figure4.jpg]]<br />
[[image: Figure5.jpg]]<br />
[[image: Figure6.jpg]]<br />
[[image: Figure7.jpg]]<br />
[[image: Figure8jpg]]<br />
[[image: Figure9.jpg]]<br />
[[image: Figure10.jpg]]<br />
[[image: Figure11.jpg]]<br />
[[image: Figure12.jpg]]<br />
[[image: Figure13.jpg]]<br />
[[image: Figure14.jpg]]<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation ==<br />
<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]<br />
<br />
<br />
== internal References ==<br />
[http://infovis-wiki.net/index.php?title=Treemap Treemap]<br />
<br />
[[category: techniques]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21416Extreme visualization: squeezing a billion records into a million pixels2009-05-25T18:59:55Z<p>UE-InfoVis09-03: </p>
<hr />
<div>= UNDER CONSTRUCTION =<br />
<br />
== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
<br />
<br />
== Suitable Datatypes ==<br />
<br />
<br />
== Figures ==<br />
[[image: Figure1.jpg]]<br />
[[image: Figure2.jpg]]<br />
[[image: Figure3.jpg]]<br />
[[image: Figure4.jpg]]<br />
[[image: Figure5.jpg]]<br />
[[image: Figure6.jpg]]<br />
[[image: Figure7.jpg]]<br />
[[image: Figure8jpg]]<br />
[[image: Figure9.jpg]]<br />
[[image: Figure10.jpg]]<br />
[[image: Figure11.jpg]]<br />
[[image: Figure12.jpg]]<br />
[[image: Figure13.jpg]]<br />
[[image: Figure14.jpg]]<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation ==<br />
<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]<br />
<br />
<br />
== internal References ==<br />
[http://infovis-wiki.net/index.php?title=Treemap Treemap]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21415Extreme visualization: squeezing a billion records into a million pixels2009-05-25T18:58:08Z<p>UE-InfoVis09-03: </p>
<hr />
<div>=== UNDER CONSTRUCTION ===<br />
<br />
== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
<br />
<br />
== Suitable Datatypes ==<br />
<br />
<br />
== Figures ==<br />
[[image: Figure1.jpg]]<br />
[[image: Figure2.jpg]]<br />
[[image: Figure3.jpg]]<br />
[[image: Figure4.jpg]]<br />
[[image: Figure5.jpg]]<br />
[[image: Figure6.jpg]]<br />
[[image: Figure7.jpg]]<br />
[[image: Figure8jpg]]<br />
[[image: Figure9.jpg]]<br />
[[image: Figure10.jpg]]<br />
[[image: Figure11.jpg]]<br />
[[image: Figure12.jpg]]<br />
[[image: Figure13.jpg]]<br />
[[image: Figure14.jpg]]<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation ==<br />
<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21414Extreme visualization: squeezing a billion records into a million pixels2009-05-25T18:57:26Z<p>UE-InfoVis09-03: </p>
<hr />
<div>== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
<br />
<br />
== Suitable Datatypes ==<br />
<br />
<br />
== Figures ==<br />
[[image: Figure1.jpg]]<br />
[[image: Figure2.jpg]]<br />
[[image: Figure3.jpg]]<br />
[[image: Figure4.jpg]]<br />
[[image: Figure5.jpg]]<br />
[[image: Figure6.jpg]]<br />
[[image: Figure7.jpg]]<br />
[[image: Figure8jpg]]<br />
[[image: Figure9.jpg]]<br />
[[image: Figure10.jpg]]<br />
[[image: Figure11.jpg]]<br />
[[image: Figure12.jpg]]<br />
[[image: Figure13.jpg]]<br />
[[image: Figure14.jpg]]<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation ==<br />
<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Figure14.jpg&diff=21413File:Figure14.jpg2009-05-25T18:51:55Z<p>UE-InfoVis09-03: A treemap density plot showing a 3-level summary of gene expression data for a 23-level tree with 22,995 nodes.</p>
<hr />
<div>== Summary ==<br />
A treemap density plot showing a 3-level summary of gene expression data for a 23-level tree with 22,995 nodes.<br />
== Copyright status ==<br />
<br />
== Source ==</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Figure13.jpg&diff=21412File:Figure13.jpg2009-05-25T18:51:27Z<p>UE-InfoVis09-03: Tree density plot showing percentage of nodes in subtrees at each level.</p>
<hr />
<div>== Summary ==<br />
Tree density plot showing percentage of nodes in subtrees at each level.<br />
== Copyright status ==<br />
<br />
== Source ==</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Figure12.jpg&diff=21411File:Figure12.jpg2009-05-25T18:51:13Z<p>UE-InfoVis09-03: New page: == Summary == == Copyright status == == Source ==</p>
<hr />
<div>== Summary ==<br />
<br />
== Copyright status ==<br />
<br />
== Source ==</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Figure11.jpg&diff=21410File:Figure11.jpg2009-05-25T18:50:54Z<p>UE-InfoVis09-03: Scattergram from HCE</p>
<hr />
<div>== Summary ==<br />
Scattergram from HCE<br />
== Copyright status ==<br />
<br />
== Source ==</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Figure10.jpg&diff=21409File:Figure10.jpg2009-05-25T18:50:03Z<p>UE-InfoVis09-03: New page: == Summary == == Copyright status == == Source ==</p>
<hr />
<div>== Summary ==<br />
<br />
== Copyright status ==<br />
<br />
== Source ==</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Figure9.jpg&diff=21408File:Figure9.jpg2009-05-25T18:49:58Z<p>UE-InfoVis09-03: New page: == Summary == == Copyright status == == Source ==</p>
<hr />
<div>== Summary ==<br />
<br />
== Copyright status ==<br />
<br />
== Source ==</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Figure8.jpg&diff=21407File:Figure8.jpg2009-05-25T18:49:33Z<p>UE-InfoVis09-03: Grouping nodes into community structures based on link relationships helps bring order to a small Facebook social network.</p>
<hr />
<div>== Summary ==<br />
Grouping nodes into community structures based on link relationships helps bring order to a small Facebook social network.<br />
== Copyright status ==<br />
<br />
== Source ==<br />
http://www.cs.umd.edu/hcil/socialaction</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Figure7.jpg&diff=21406File:Figure7.jpg2009-05-25T18:49:05Z<p>UE-InfoVis09-03: This coarsened network of 152 nodes represents a larger network with 46,480 nodes.</p>
<hr />
<div>== Summary ==<br />
This coarsened network of 152 nodes represents a larger network with 46,480 nodes.<br />
== Copyright status ==<br />
<br />
== Source ==</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Figure6.jpg&diff=21405File:Figure6.jpg2009-05-25T18:48:32Z<p>UE-InfoVis09-03: Spotfire’s new On-Demand feature enables dynamic data retrieval from large databases when needed.</p>
<hr />
<div>== Summary ==<br />
Spotfire’s new On-Demand feature enables dynamic data retrieval from large databases when needed.<br />
== Copyright status ==<br />
<br />
== Source ==</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Figure5.jpg&diff=21404File:Figure5.jpg2009-05-25T18:48:06Z<p>UE-InfoVis09-03: Graphical Interface for Digital Libraries</p>
<hr />
<div>== Summary ==<br />
Graphical Interface for Digital Libraries<br />
== Copyright status ==<br />
<br />
== Source ==<br />
www.cs.umd.edu/hcil/west-legal/gridl/</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Figure4.jpg&diff=21403File:Figure4.jpg2009-05-25T18:47:32Z<p>UE-InfoVis09-03: Spacetree, a scalable solution for large trees, shows a partially expanded tree with aggregation markers that are user expandable.</p>
<hr />
<div>== Summary ==<br />
Spacetree, a scalable solution for large trees, shows a partially expanded tree with aggregation markers that are user expandable.<br />
== Copyright status ==<br />
<br />
== Source ==<br />
http://www.cs.umd.edu/hcil/spacetree</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Figure3.jpg&diff=21402File:Figure3.jpg2009-05-25T18:47:00Z<p>UE-InfoVis09-03: New page: == Summary == == Copyright status == == Source ==</p>
<hr />
<div>== Summary ==<br />
<br />
== Copyright status ==<br />
<br />
== Source ==</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Figure2.jpg&diff=21401File:Figure2.jpg2009-05-25T18:46:16Z<p>UE-InfoVis09-03: Million node treemap showing the directory structure on a file server.</p>
<hr />
<div>== Summary ==<br />
Million node treemap showing the directory structure on a file server.<br />
== Copyright status ==<br />
<br />
== Source ==</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Figure1.jpg&diff=21400File:Figure1.jpg2009-05-25T18:45:30Z<p>UE-InfoVis09-03: Pixel-based representation of database with six attributes per record.</p>
<hr />
<div>== Summary ==<br />
Pixel-based representation of database with six attributes per record.<br />
== Copyright status ==<br />
<br />
== Source ==</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21399Extreme visualization: squeezing a billion records into a million pixels2009-05-25T18:34:00Z<p>UE-InfoVis09-03: </p>
<hr />
<div>== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
<br />
<br />
== Suitable Datatypes ==<br />
<br />
<br />
== Figures ==<br />
<br />
<br />
== Important citations ==<br />
{{Quotation| The purpose of visualization is insight, not pictures.| [Ben Shneiderman, 2008]}}<br />
<br />
<br />
== Evaluation ==<br />
<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21398Extreme visualization: squeezing a billion records into a million pixels2009-05-25T15:22:10Z<p>UE-InfoVis09-03: </p>
<hr />
<div>== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
<br />
<br />
== Suitable Datatypes ==<br />
<br />
<br />
== Figures ==<br />
<br />
<br />
== Important citations ==<br />
<br />
<br />
== Evaluation ==<br />
<br />
<br />
== References ==<br />
[http://delivery.acm.org/10.1145/1380000/1376618/p3-shneiderman.pdf?key1=1376618&key2=4764623421&coll=GUIDE&dl=GUIDE&CFID=37341484&CFTOKEN=83388005 Extreme visualization: squeezing a billion records into a million pixels]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21397Extreme visualization: squeezing a billion records into a million pixels2009-05-25T15:17:48Z<p>UE-InfoVis09-03: </p>
<hr />
<div>== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
<br />
<br />
== Suitable Datatypes ==<br />
<br />
<br />
== Figures ==<br />
<br />
<br />
== Important citations ==<br />
<br />
<br />
== Evaluation ==<br />
<br />
<br />
== References ==</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Extreme_visualization:_squeezing_a_billion_records_into_a_million_pixels&diff=21396Extreme visualization: squeezing a billion records into a million pixels2009-05-25T15:15:54Z<p>UE-InfoVis09-03: New page: == Authors == * Ben Shneiderman == Short description == == Suitable Datatypes == == Figures == == Important citations == == Evaluation == == References ==...</p>
<hr />
<div>== Authors ==<br />
*[[Shneiderman, Ben | Ben Shneiderman]]<br />
<br />
<br />
== Short description ==<br />
<br />
<br />
== Suitable Datatypes ==<br />
<br />
<br />
== Figures ==<br />
<br />
<br />
== Important citations ==<br />
<br />
<br />
== Evaluation ==<br />
<br />
<br />
== References ==<br />
<br />
<br />
== Demonstrations ==</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Shneiderman,_Ben&diff=21291Shneiderman, Ben2009-05-13T14:09:16Z<p>UE-InfoVis09-03: </p>
<hr />
<div>[[Image:Shneiderman_ben.jpg|right|Ben Shneiderman]]<br />
== Biography ==<br />
'''Ben Shneiderman''' is a professor in the department of computer science, founding director of the human&ndash;computer&ndash;interaction laboratory, and member of the institute for advanced computer studies and the institute for systems research, all at the university of Maryland at College Park. He has taught previously at the State University of New York and at Indiana University.<br />
<br />
He got a B.S. in Mathematics/Physics from the City College of New York in 1968, and then went on to study at the State University of New York at Stony Brook, where he received an M.S. in Computer Science in 1972 and graduated with a Ph.D. in 1973. In addition to his influential work in user interface design, he is known for the co-invention (together with Isaac Nassi) of the Nassi-Shneiderman diagrams, a graphical representation of the design of structured software.<br />
<br />
In ''1997'' '''Ben Shneiderman''' was inducted as a Fellow of the ''Association for Computing Machinery''.<br />
<br />
In ''2002'' his book ''Leonardo’s Laptop: Human Needs and the New Computing Technologies'' was Winner of a ''IEEE-USA Award for Distinguished Contributions Furthering Public Understanding of the Profession''.<br />
<br />
He also defined the research area of universal usability to encourage greater attention to diverse users, languages, cultures, screen sizes, network speeds, and technology platforms.<br />
<br />
== Affiliations ==<br />
'''current:'''<br />
*''Professor, Computer Science (1989- )<br />
*''Member, Institute for Systems Research (1991- ).<br />
*''Member, Institute for Advanced Computer Studies (1987-1991, 1997- )<br />
*''Fellow of the ACM since 1997<br />
*''Fellow of the American Association for the Advancement of Science since 2001<br />
<br />
'''previous:'''<br />
*''Institute for Advanced Computer Studies (1996-2000)<br />
*''Center for Automation Research (1983-1996)<br />
*''Founding Director (1983-2000) of the Human-Computer Interaction Laboratory<br />
*''Computer Science Advisor (1999-2002) to Smartmoney <br />
<br />
== Main Interests ==<br />
*''user interface design<br />
*''human-computer interaction<br />
*''human factors of designing user interfaces<br />
*'' information visualization<br />
*'' interactive information systems<br />
<br />
== Prominent Ideas ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
*''Hyperties (Hypertext-System)<br />
<br />
== Publications ==<br />
*'' Software Psychology: Human Factors in Computer and Information Systems; Little, Brown and Co. (1980)<br />
*'' Designing the User Interface: Strategies for Effective Human-Computer Interaction, 1st edition. Addison-Wesley (1987)<br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ijhcs/main.html Designing Information-Abundant Websites (1997)]<br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/97-17html/97-17.html Relate-Create-Donate: A teaching/learning philosophy for the cyber-generation (1997)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ivwp.html Information Visualization: White Paper (1997)] <br />
*''[[Card%2C_S._and_Mackinlay%2C_J._and_Shneiderman%2C_B.:_Readings_in_Information_Visualization_-_Using_Vision_to_Think%2C_Morgan_Kaufmann%2C_1999|Readings in Information Visualization - Using Vision to Think, 1999]]<br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/2000-06html/2000-06.html Direct Annotation: A Drag-and-Drop Strategy for Labeling Photos (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p63-shneidermanSept2000CACMf.pdf The Limits of Speech Recognition (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p84-shneiderman-May2000CACMf.pdf Universal Usability: Pushing Human-Computer Interaction Research to Empower Every Citizen (2000)]<br />
*'' Leonardo's Laptop: Human Needs and the New Computing Technologies (2002)<br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ACM-Sept11-8.doc ACM's Computing Professionals Face New Challenges (A response to Sept 11) (2002)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-CUU2003.pdf Promoting Universal Usability with Multi-Layer Interface Design (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/IEEE-CGA-3D-Nov2003.pdf Why Not Make Interfaces Better than 3D Reality? (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-interactions-Design_p17-23.pdf A Photo History of SIGCHI: Evolution of Design from Personal to Public (2003)]<br />
*'' [http://www.cs.umd.edu/~ben/Fun-p48-shneiderman.pdf Designing for Fun: How Can We Design User Interfaces to Be More Fun? (2004)]<br />
*'' Strategies for Effective Human-Computer Interaction (2004) <br />
*'' [http://www.cs.umd.edu/~ben/Chen-InfoViz-book-foreword.pdf Foreword: Information Visualization: Beyond the Horizon (Chen, 2004)] <br />
*'' Designing the User Interface: Strategies for Effective Human-Computer Interaction, 5th edition. With C. Plaisant. Addison-Wesley (2009)<br />
<br />
== Internal Links ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
<br />
== External Links ==<br />
*''[http://www.cs.umd.edu/~ben/ Homepage] <br />
*''[http://en.wikipedia.org/wiki/Ben_Shneiderman Wikipedia]<br />
*''[http://de.wikipedia.org/wiki/Ben_Shneiderman Wikipedia (in German)]<br />
*''[http://www.cs.umd.edu/hcil/members/bshneiderman/nsd/ Nassi-Shneiderman Diagrams]<br />
<br />
== Contact Informations ==<br />
Email: ben(at)cs.umd.edu<br><br />
A. V. Williams Building, Department of Computer Science<br><br />
University of Maryland, College Park, MD 20742 <br><br />
Phone: (301) 405-2680 Fax: (301) 405-6707<br><br />
[[Category:Persons]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Shneiderman,_Ben&diff=21290Shneiderman, Ben2009-05-13T14:08:09Z<p>UE-InfoVis09-03: </p>
<hr />
<div>[[Image:Shneiderman_ben.jpg|right|Ben Shneiderman]]<br />
== Biography ==<br />
'''Ben Shneiderman''' is a professor in the department of computer science, founding director of the human&ndash;computer&ndash;interaction laboratory, and member of the institute for advanced computer studies and the institute for systems research, all at the university of Maryland at College Park. He has taught previously at the State University of New York and at Indiana University.<br />
<br />
He got a B.S. in Mathematics/Physics from the City College of New York in 1968, and then went on to study at the State University of New York at Stony Brook, where he received an M.S. in Computer Science in 1972 and graduated with a Ph.D. in 1973. In addition to his influential work in user interface design, he is known for the co-invention (together with Isaac Nassi) of the Nassi-Shneiderman diagrams, a graphical representation of the design of structured software.<br />
<br />
In ''1997'' '''Ben Shneiderman''' was inducted as a Fellow of the ''Association for Computing Machinery''.<br />
<br />
In ''2002'' his book ''Leonardo’s Laptop: Human Needs and the New Computing Technologies'' was Winner of a ''IEEE-USA Award for Distinguished Contributions Furthering Public Understanding of the Profession''.<br />
<br />
== Affiliations ==<br />
'''current:'''<br />
*''Professor, Computer Science (1989- )<br />
*''Member, Institute for Systems Research (1991- ).<br />
*''Member, Institute for Advanced Computer Studies (1987-1991, 1997- )<br />
*''Fellow of the ACM since 1997<br />
*''Fellow of the American Association for the Advancement of Science since 2001<br />
<br />
'''previous:'''<br />
*''Institute for Advanced Computer Studies (1996-2000)<br />
*''Center for Automation Research (1983-1996)<br />
*''Founding Director (1983-2000) of the Human-Computer Interaction Laboratory<br />
*''Computer Science Advisor (1999-2002) to Smartmoney <br />
<br />
== Main Interests ==<br />
*''user interface design<br />
*''human-computer interaction<br />
*''human factors of designing user interfaces<br />
*'' information visualization<br />
*'' interactive information systems<br />
<br />
== Prominent Ideas ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
*''Hyperties (Hypertext-System)<br />
<br />
== Publications ==<br />
*'' Software Psychology: Human Factors in Computer and Information Systems; Little, Brown and Co. (1980)<br />
*'' Designing the User Interface: Strategies for Effective Human-Computer Interaction, 1st edition. Addison-Wesley (1987)<br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ijhcs/main.html Designing Information-Abundant Websites (1997)]<br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/97-17html/97-17.html Relate-Create-Donate: A teaching/learning philosophy for the cyber-generation (1997)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ivwp.html Information Visualization: White Paper (1997)] <br />
*''[[Card%2C_S._and_Mackinlay%2C_J._and_Shneiderman%2C_B.:_Readings_in_Information_Visualization_-_Using_Vision_to_Think%2C_Morgan_Kaufmann%2C_1999|Readings in Information Visualization - Using Vision to Think, 1999]]<br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/2000-06html/2000-06.html Direct Annotation: A Drag-and-Drop Strategy for Labeling Photos (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p63-shneidermanSept2000CACMf.pdf The Limits of Speech Recognition (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p84-shneiderman-May2000CACMf.pdf Universal Usability: Pushing Human-Computer Interaction Research to Empower Every Citizen (2000)]<br />
*'' Leonardo's Laptop: Human Needs and the New Computing Technologies (2002)<br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ACM-Sept11-8.doc ACM's Computing Professionals Face New Challenges (A response to Sept 11) (2002)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-CUU2003.pdf Promoting Universal Usability with Multi-Layer Interface Design (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/IEEE-CGA-3D-Nov2003.pdf Why Not Make Interfaces Better than 3D Reality? (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-interactions-Design_p17-23.pdf A Photo History of SIGCHI: Evolution of Design from Personal to Public (2003)]<br />
*'' [http://www.cs.umd.edu/~ben/Fun-p48-shneiderman.pdf Designing for Fun: How Can We Design User Interfaces to Be More Fun? (2004)]<br />
*'' Strategies for Effective Human-Computer Interaction (2004) <br />
*'' [http://www.cs.umd.edu/~ben/Chen-InfoViz-book-foreword.pdf Foreword: Information Visualization: Beyond the Horizon (Chen, 2004)] <br />
*'' Designing the User Interface: Strategies for Effective Human-Computer Interaction, 5th edition. With C. Plaisant. Addison-Wesley (2009)<br />
<br />
== Internal Links ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
<br />
== External Links ==<br />
*''[http://www.cs.umd.edu/~ben/ Homepage] <br />
*''[http://en.wikipedia.org/wiki/Ben_Shneiderman Wikipedia]<br />
*''[http://de.wikipedia.org/wiki/Ben_Shneiderman Wikipedia (in German)]<br />
*''[http://www.cs.umd.edu/hcil/members/bshneiderman/nsd/ Nassi-Shneiderman Diagrams]<br />
<br />
== Contact Informations ==<br />
Email: ben(at)cs.umd.edu<br><br />
A. V. Williams Building, Department of Computer Science<br><br />
University of Maryland, College Park, MD 20742 <br><br />
Phone: (301) 405-2680 Fax: (301) 405-6707<br><br />
[[Category:Persons]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Shneiderman,_Ben&diff=21289Shneiderman, Ben2009-05-13T14:06:35Z<p>UE-InfoVis09-03: </p>
<hr />
<div>[[Image:Shneiderman_ben.jpg|right|Ben Shneiderman]]<br />
== Biography ==<br />
'''Ben Shneiderman''' is a professor in the department of computer science, founding director of the human&ndash;computer&ndash;interaction laboratory, and member of the institute for advanced computer studies and the institute for systems research, all at the university of Maryland at College Park. He has taught previously at the State University of New York and at Indiana University.<br />
<br />
He got a B.S. in Mathematics/Physics from the City College of New York in 1968, and then went on to study at the State University of New York at Stony Brook, where he received an M.S. in Computer Science in 1972 and graduated with a Ph.D. in 1973. In addition to his influential work in user interface design, he is known for the co-invention (together with Isaac Nassi) of the Nassi-Shneiderman diagrams, a graphical representation of the design of structured software.<br />
<br />
In ''1997'' '''Ben Shneiderman''' was inducted as a Fellow of the ''Association for Computing Machinery''.<br />
<br />
In ''2002'' his book ''Leonardo’s Laptop: Human Needs and the New Computing Technologies'' was Winner of a ''IEEE-USA Award for Distinguished Contributions Furthering Public Understanding of the Profession''.<br />
<br />
== Affiliations ==<br />
'''current:'''<br />
*''Professor, Computer Science (1989- )<br />
*''Member, Institute for Systems Research (1991- ).<br />
*''Member, Institute for Advanced Computer Studies (1987-1991, 1997- )<br />
*''Fellow of the ACM since 1997<br />
*''Fellow of the American Association for the Advancement of Science since 2001<br />
<br />
'''previous:'''<br />
*''Institute for Advanced Computer Studies (1996-2000)<br />
*''Center for Automation Research (1983-1996)<br />
*''Founding Director (1983-2000) of the Human-Computer Interaction Laboratory<br />
*''Computer Science Advisor (1999-2002) to Smartmoney <br />
<br />
== Main Interests ==<br />
*''user interface design<br />
*''human-computer interaction<br />
*''human factors of designing user interfaces<br />
*'' information visualization<br />
*'' interactive information systems<br />
<br />
== Prominent Ideas ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
*''Hyperties (Hypertext-System)<br />
<br />
== Bibliography ==<br />
*'' Software Psychology: Human Factors in Computer and Information Systems; Little, Brown and Co. (1980)<br />
*'' Designing the User Interface: Strategies for Effective Human-Computer Interaction, 1st edition. Addison-Wesley (1987)<br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ijhcs/main.html Designing Information-Abundant Websites (1997)]<br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/97-17html/97-17.html Relate-Create-Donate: A teaching/learning philosophy for the cyber-generation (1997)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ivwp.html Information Visualization: White Paper (1997)] <br />
*''[[Card%2C_S._and_Mackinlay%2C_J._and_Shneiderman%2C_B.:_Readings_in_Information_Visualization_-_Using_Vision_to_Think%2C_Morgan_Kaufmann%2C_1999|Readings in Information Visualization - Using Vision to Think, 1999]]<br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/2000-06html/2000-06.html Direct Annotation: A Drag-and-Drop Strategy for Labeling Photos (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p63-shneidermanSept2000CACMf.pdf The Limits of Speech Recognition (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p84-shneiderman-May2000CACMf.pdf Universal Usability: Pushing Human-Computer Interaction Research to Empower Every Citizen (2000)]<br />
*'' Leonardo's Laptop: Human Needs and the New Computing Technologies (2002)<br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ACM-Sept11-8.doc ACM's Computing Professionals Face New Challenges (A response to Sept 11) (2002)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-CUU2003.pdf Promoting Universal Usability with Multi-Layer Interface Design (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/IEEE-CGA-3D-Nov2003.pdf Why Not Make Interfaces Better than 3D Reality? (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-interactions-Design_p17-23.pdf A Photo History of SIGCHI: Evolution of Design from Personal to Public (2003)]<br />
*'' [http://www.cs.umd.edu/~ben/Fun-p48-shneiderman.pdf Designing for Fun: How Can We Design User Interfaces to Be More Fun? (2004)]<br />
*'' Strategies for Effective Human-Computer Interaction (2004) <br />
*'' [http://www.cs.umd.edu/~ben/Chen-InfoViz-book-foreword.pdf Foreword: Information Visualization: Beyond the Horizon (Chen, 2004)] <br />
*'' Designing the User Interface: Strategies for Effective Human-Computer Interaction, 5th edition. With C. Plaisant. Addison-Wesley (2009)<br />
<br />
== Internal Links ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
<br />
== External Links ==<br />
*''[http://www.cs.umd.edu/~ben/ Homepage] <br />
*''[http://en.wikipedia.org/wiki/Ben_Shneiderman Wikipedia]<br />
*''[http://de.wikipedia.org/wiki/Ben_Shneiderman Wikipedia (in German)]<br />
*''[http://www.cs.umd.edu/hcil/members/bshneiderman/nsd/ Nassi-Shneiderman Diagrams]<br />
<br />
== Contact Informations ==<br />
Email: ben(at)cs.umd.edu<br><br />
A. V. Williams Building, Department of Computer Science<br><br />
University of Maryland, College Park, MD 20742 <br><br />
Phone: (301) 405-2680 Fax: (301) 405-6707<br><br />
[[Category:Persons]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Shneiderman,_Ben&diff=21288Shneiderman, Ben2009-05-13T14:05:51Z<p>UE-InfoVis09-03: </p>
<hr />
<div>[[Image:Shneiderman_ben.jpg|right|Ben Shneiderman]]<br />
== Biography ==<br />
'''Ben Shneiderman''' is a professor in the department of computer science, founding director of the human&ndash;computer&ndash;interaction laboratory, and member of the institute for advanced computer studies and the institute for systems research, all at the university of Maryland at College Park. He has taught previously at the State University of New York and at Indiana University.<br />
<br />
He got a B.S. in Mathematics/Physics from the City College of New York in 1968, and then went on to study at the State University of New York at Stony Brook, where he received an M.S. in Computer Science in 1972 and graduated with a Ph.D. in 1973. In addition to his influential work in user interface design, he is known for the co-invention (together with Isaac Nassi) of the Nassi-Shneiderman diagrams, a graphical representation of the design of structured software.<br />
<br />
In ''1997'' '''Ben Shneiderman''' was inducted as a Fellow of the ''Association for Computing Machinery''.<br />
<br />
In ''2002'' his book ''Leonardo’s Laptop: Human Needs and the New Computing Technologies'' was Winner of a ''IEEE-USA Award for Distinguished Contributions Furthering Public Understanding of the Profession''.<br />
<br />
He also defined the research area of universal usability to encourage greater attention to diverse users, languages, cultures, screen sizes, network speeds, and technology platforms.<br />
<br />
== Affiliations ==<br />
'''current:'''<br />
*''Professor, Computer Science (1989- )<br />
*''Member, Institute for Systems Research (1991- ).<br />
*''Member, Institute for Advanced Computer Studies (1987-1991, 1997- )<br />
*''Fellow of the ACM since 1997<br />
*''Fellow of the American Association for the Advancement of Science since 2001<br />
<br />
'''previous:'''<br />
*''Institute for Advanced Computer Studies (1996-2000)<br />
*''Center for Automation Research (1983-1996)<br />
*''Founding Director (1983-2000) of the Human-Computer Interaction Laboratory<br />
*''Computer Science Advisor (1999-2002) to Smartmoney <br />
<br />
== Main Interests ==<br />
*''user interface design<br />
*''human-computer interaction<br />
*''human factors of designing user interfaces<br />
*'' information visualization<br />
*'' interactive information systems<br />
<br />
== Prominent Ideas ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
*''Hyperties (Hypertext-System)<br />
<br />
== Bibliography ==<br />
*'' Leonardo's Laptop: Human Needs and the New Computing Technologies (2002) <br />
*'' Designing the User Interface: Strategies for Effective Human-Computer Interaction, 5th edition. With C. Plaisant. Addison-Wesley (2009)<br />
*'' [http://www.cs.umd.edu/~ben/Fun-p48-shneiderman.pdf Designing for Fun: How Can We Design User Interfaces to Be More Fun? (2004)]<br />
*'' Strategies for Effective Human-Computer Interaction (2004) <br />
*'' [http://www.cs.umd.edu/~ben/Chen-InfoViz-book-foreword.pdf Foreword: Information Visualization: Beyond the Horizon (Chen, 2004)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-CUU2003.pdf Promoting Universal Usability with Multi-Layer Interface Design (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/IEEE-CGA-3D-Nov2003.pdf Why Not Make Interfaces Better than 3D Reality? (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-interactions-Design_p17-23.pdf A Photo History of SIGCHI: Evolution of Design from Personal to Public (2003)]<br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/2000-06html/2000-06.html Direct Annotation: A Drag-and-Drop Strategy for Labeling Photos (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p63-shneidermanSept2000CACMf.pdf The Limits of Speech Recognition (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p84-shneiderman-May2000CACMf.pdf Universal Usability: Pushing Human-Computer Interaction Research to Empower Every Citizen (2000)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ACM-Sept11-8.doc ACM's Computing Professionals Face New Challenges (A response to Sept 11) (2002)] <br />
*''[[Card%2C_S._and_Mackinlay%2C_J._and_Shneiderman%2C_B.:_Readings_in_Information_Visualization_-_Using_Vision_to_Think%2C_Morgan_Kaufmann%2C_1999|Readings in Information Visualization - Using Vision to Think, 1999]]<br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ijhcs/main.html Designing Information-Abundant Websites (1997)] <br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/97-17html/97-17.html Relate-Create-Donate: A teaching/learning philosophy for the cyber-generation (1997)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ivwp.html Information Visualization: White Paper (1997)] <br />
*''Software Psychology: Human Factors in Computer and Information Systems'', 1980.] <br />
<br />
== Internal Links ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
<br />
== External Links ==<br />
*''[http://www.cs.umd.edu/~ben/ Homepage] <br />
*''[http://en.wikipedia.org/wiki/Ben_Shneiderman Wikipedia]<br />
*''[http://de.wikipedia.org/wiki/Ben_Shneiderman Wikipedia (in German)]<br />
*''[http://www.cs.umd.edu/hcil/members/bshneiderman/nsd/ Nassi-Shneiderman Diagrams]<br />
<br />
== Contact Informations ==<br />
Email: ben(at)cs.umd.edu<br><br />
A. V. Williams Building, Department of Computer Science<br><br />
University of Maryland, College Park, MD 20742 <br><br />
Phone: (301) 405-2680 Fax: (301) 405-6707<br><br />
[[Category:Persons]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Shneiderman,_Ben&diff=21287Shneiderman, Ben2009-05-13T13:57:53Z<p>UE-InfoVis09-03: </p>
<hr />
<div>[[Image:Shneiderman_ben.jpg|right|Ben Shneiderman]]<br />
== Biography ==<br />
'''Ben Shneiderman''' is a professor in the department of computer science, founding director of the human&ndash;computer&ndash;interaction laboratory, and member of the institute for advanced computer studies and the institute for systems research, all at the university of Maryland at College Park. He has taught previously at the State University of New York and at Indiana University.<br />
<br />
He got a B.S. in Mathematics/Physics from the City College of New York in 1968, and then went on to study at the State University of New York at Stony Brook, where he received an M.S. in Computer Science in 1972 and graduated with a Ph.D. in 1973. In addition to his influential work in user interface design, he is known for the co-invention (together with Isaac Nassi) of the Nassi-Shneiderman diagrams, a graphical representation of the design of structured software.<br />
<br />
In ''1997'' '''Ben Shneiderman''' was inducted as a Fellow of the ''Association for Computing Machinery''.<br />
<br />
In ''2002'' his book ''Leonardo’s Laptop: Human Needs and the New Computing Technologies'' was Winner of a ''IEEE-USA Award for Distinguished Contributions Furthering Public Understanding of the Profession''.<br />
<br />
== Affiliations ==<br />
'''current:'''<br />
*''Professor, Computer Science (1989- )<br />
*''Member, Institute for Systems Research (1991- ).<br />
*''Member, Institute for Advanced Computer Studies (1987-1991, 1997- )<br />
*''Fellow of the ACM since 1997<br />
*''Fellow of the American Association for the Advancement of Science since 2001<br />
<br />
'''previous:'''<br />
*''Institute for Advanced Computer Studies (1996-2000)<br />
*''Center for Automation Research (1983-1996)<br />
*''Founding Director (1983-2000) of the Human-Computer Interaction Laboratory<br />
*''Computer Science Advisor (1999-2002) to Smartmoney <br />
<br />
== Main Interests ==<br />
*''user interface design<br />
*''human-computer interaction<br />
*''human factors of designing user interfaces<br />
*'' information visualization<br />
*'' interactive information systems<br />
<br />
== Prominent Ideas ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
*''Hyperties (Hypertext-System)<br />
<br />
== Bibliography ==<br />
*'' Leonardo's Laptop: Human Needs and the New Computing Technologies (2002) <br />
*'' Designing the User Interface: Strategies for Effective Human-Computer Interaction, 5th edition. With C. Plaisant. Addison-Wesley (2009)<br />
*'' [http://www.cs.umd.edu/~ben/Fun-p48-shneiderman.pdf Designing for Fun: How Can We Design User Interfaces to Be More Fun? (2004)]<br />
*'' Strategies for Effective Human-Computer Interaction (2004) <br />
*'' [http://www.cs.umd.edu/~ben/Chen-InfoViz-book-foreword.pdf Foreword: Information Visualization: Beyond the Horizon (Chen, 2004)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-CUU2003.pdf Promoting Universal Usability with Multi-Layer Interface Design (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/IEEE-CGA-3D-Nov2003.pdf Why Not Make Interfaces Better than 3D Reality? (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-interactions-Design_p17-23.pdf A Photo History of SIGCHI: Evolution of Design from Personal to Public (2003)]<br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/2000-06html/2000-06.html Direct Annotation: A Drag-and-Drop Strategy for Labeling Photos (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p63-shneidermanSept2000CACMf.pdf The Limits of Speech Recognition (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p84-shneiderman-May2000CACMf.pdf Universal Usability: Pushing Human-Computer Interaction Research to Empower Every Citizen (2000)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ACM-Sept11-8.doc ACM's Computing Professionals Face New Challenges (A response to Sept 11) (2002)] <br />
*''[[Card%2C_S._and_Mackinlay%2C_J._and_Shneiderman%2C_B.:_Readings_in_Information_Visualization_-_Using_Vision_to_Think%2C_Morgan_Kaufmann%2C_1999|Readings in Information Visualization - Using Vision to Think, 1999]]<br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ijhcs/main.html Designing Information-Abundant Websites (1997)] <br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/97-17html/97-17.html Relate-Create-Donate: A teaching/learning philosophy for the cyber-generation (1997)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ivwp.html Information Visualization: White Paper (1997)] <br />
*''Software Psychology: Human Factors in Computer and Information Systems'', 1980.] <br />
<br />
== Internal Links ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
<br />
== External Links ==<br />
*''[http://www.cs.umd.edu/~ben/ Homepage] <br />
*''[http://en.wikipedia.org/wiki/Ben_Shneiderman Wikipedia]<br />
*''[http://de.wikipedia.org/wiki/Ben_Shneiderman Wikipedia (in German)]<br />
*''[http://www.cs.umd.edu/hcil/members/bshneiderman/nsd/ Nassi-Shneiderman Diagrams]<br />
<br />
== Contact Informations ==<br />
Email: ben(at)cs.umd.edu<br><br />
A. V. Williams Building, Department of Computer Science<br><br />
University of Maryland, College Park, MD 20742 <br><br />
Phone: (301) 405-2680 Fax: (301) 405-6707<br><br />
[[Category:Persons]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Shneiderman,_Ben&diff=21286Shneiderman, Ben2009-05-13T13:50:06Z<p>UE-InfoVis09-03: </p>
<hr />
<div>[[Image:Shneiderman_ben.jpg|right|Ben Shneiderman]]<br />
== Biography ==<br />
'''Ben Shneiderman''' is a professor in the department of computer science, founding director of the human&ndash;computer&ndash;interaction laboratory, and member of the institute for advanced computer studies and the institute for systems research, all at the university of Maryland at College Park. He has taught previously at the State University of New York and at Indiana University.<br />
<br />
He got a B.S. in Mathematics/Physics from the City College of New York in 1968, and then went on to study at the State University of New York at Stony Brook, where he received an M.S. in Computer Science in 1972 and graduated with a Ph.D. in 1973. In addition to his influential work in user interface design, he is known for the co-invention (together with Isaac Nassi) of the Nassi-Shneiderman diagrams, a graphical representation of the design of structured software.<br />
<br />
In ''1997'' '''Ben Shneiderman''' was inducted as a Fellow of the ''Association for Computing Machinery''.<br />
<br />
In ''2002'' his book ''Leonardo’s Laptop: Human Needs and the New Computing Technologies'' was Winner of a ''IEEE-USA Award for Distinguished Contributions Furthering Public Understanding of the Profession''.<br />
<br />
== Affiliations ==<br />
'''current:'''<br />
*''Professor, Computer Science (1989- )<br />
*''Member, Institute for Systems Research (1991- ).<br />
*''Member, Institute for Advanced Computer Studies (1987-1991, 1997- )<br />
*''Fellow of the ACM since 1997<br />
*''Fellow of the American Association for the Advancement of Science since 2001<br />
<br />
'''previous:'''<br />
*''Institute for Advanced Computer Studies (1996-2000)<br />
*''Center for Automation Research (1983-1996)<br />
*''Founding Director (1983-2000) of the Human-Computer Interaction Laboratory<br />
*''Computer Science Advisor (1999-2002) to Smartmoney <br />
<br />
== Main Interests ==<br />
*''user interface design<br />
*''human-computer interaction<br />
*''human factors of designing user interfaces<br />
*'' information visualization<br />
*'' interactive information systems<br />
<br />
== Prominent Ideas ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
*''Hyperties (Hypertext-System)<br />
<br />
== Bibliography ==<br />
*'' [http://www.cs.umd.edu/~ben/Fun-p48-shneiderman.pdf Designing for Fun: How Can We Design User Interfaces to Be More Fun? (2004)]<br />
*'' Strategies for Effective Human-Computer Interaction (2004) <br />
*'' [http://www.cs.umd.edu/~ben/Chen-InfoViz-book-foreword.pdf Foreword: Information Visualization: Beyond the Horizon (Chen, 2004)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-CUU2003.pdf Promoting Universal Usability with Multi-Layer Interface Design (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/IEEE-CGA-3D-Nov2003.pdf Why Not Make Interfaces Better than 3D Reality? (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-interactions-Design_p17-23.pdf A Photo History of SIGCHI: Evolution of Design from Personal to Public (2003)]<br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/2000-06html/2000-06.html Direct Annotation: A Drag-and-Drop Strategy for Labeling Photos (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p63-shneidermanSept2000CACMf.pdf The Limits of Speech Recognition (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p84-shneiderman-May2000CACMf.pdf Universal Usability: Pushing Human-Computer Interaction Research to Empower Every Citizen (2000)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ACM-Sept11-8.doc ACM's Computing Professionals Face New Challenges (A response to Sept 11) (2002)] <br />
*''[[Card%2C_S._and_Mackinlay%2C_J._and_Shneiderman%2C_B.:_Readings_in_Information_Visualization_-_Using_Vision_to_Think%2C_Morgan_Kaufmann%2C_1999|Readings in Information Visualization - Using Vision to Think, 1999]]<br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ijhcs/main.html Designing Information-Abundant Websites (1997)] <br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/97-17html/97-17.html Relate-Create-Donate: A teaching/learning philosophy for the cyber-generation (1997)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ivwp.html Information Visualization: White Paper (1997)] <br />
*''Software Psychology: Human Factors in Computer and Information Systems'', 1980.] <br />
<br />
== Internal Links ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
<br />
== External Links ==<br />
*''[http://www.cs.umd.edu/~ben/ Homepage] <br />
*''[http://en.wikipedia.org/wiki/Ben_Shneiderman Wikipedia]<br />
*''[http://de.wikipedia.org/wiki/Ben_Shneiderman Wikipedia (in German)]<br />
*''[http://www.cs.umd.edu/hcil/members/bshneiderman/nsd/ Nassi-Shneiderman Diagrams]<br />
<br />
== Contact Informations ==<br />
Email: ben(at)cs.umd.edu<br><br />
A. V. Williams Building, Department of Computer Science<br><br />
University of Maryland, College Park, MD 20742 <br><br />
Phone: (301) 405-2680 Fax: (301) 405-6707<br><br />
[[Category:Persons]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Shneiderman,_Ben&diff=21285Shneiderman, Ben2009-05-13T13:45:46Z<p>UE-InfoVis09-03: </p>
<hr />
<div>[[Image:Shneiderman_ben.jpg|right|Ben Shneiderman]]<br />
== Biography ==<br />
'''Ben Shneiderman''' is a professor in the department of computer science, founding director of the human&ndash;computer&ndash;interaction laboratory, and member of the institute for advanced computer studies and the institute for systems research, all at the university of Maryland at College Park. He has taught previously at the State University of New York and at Indiana University.<br />
<br />
He got a B.S. in Mathematics/Physics from the City College of New York in 1968, and then went on to study at the State University of New York at Stony Brook, where he received an M.S. in Computer Science in 1972 and graduated with a Ph.D. in 1973. In addition to his influential work in user interface design, he is known for the co-invention (together with Isaac Nassi) of the Nassi-Shneiderman diagrams, a graphical representation of the design of structured software.<br />
<br />
In ''1997 '''Ben Shneiderman''' was inducted as a Fellow of the ''Association for Computing Machinery.<br />
In ''2002 his book ''Leonardo’s Laptop: Human Needs and the New Computing Technologies'' was Winner of a ''IEEE-USA Award for Distinguished Contributions Furthering Public Understanding of the Profession''.<br />
<br />
== Affiliations ==<br />
'''current:'''<br />
*''Professor, Computer Science (1989- )<br />
*''Member, Institute for Systems Research (1991- ).<br />
*''Member, Institute for Advanced Computer Studies (1987-1991, 1997- )<br />
*''Fellow of the ACM since 1997<br />
*''Fellow of the American Association for the Advancement of Science since 2001<br />
<br />
'''previous:'''<br />
*''Institute for Advanced Computer Studies (1996-2000)<br />
*''Center for Automation Research (1983-1996)<br />
*''Founding Director (1983-2000) of the Human-Computer Interaction Laboratory<br />
*''Computer Science Advisor (1999-2002) to Smartmoney <br />
<br />
== Main Interests ==<br />
*''user interface design<br />
*''human-computer interaction<br />
*''human factors of designing user interfaces<br />
*'' information visualization<br />
*'' interactive information systems<br />
<br />
== Prominent Ideas ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
*''Hyperties (Hypertext-System)<br />
<br />
== Bibliography ==<br />
*'' [http://www.cs.umd.edu/~ben/Fun-p48-shneiderman.pdf Designing for Fun: How Can We Design User Interfaces to Be More Fun? (2004)]<br />
*'' Strategies for Effective Human-Computer Interaction (2004) <br />
*'' [http://www.cs.umd.edu/~ben/Chen-InfoViz-book-foreword.pdf Foreword: Information Visualization: Beyond the Horizon (Chen, 2004)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-CUU2003.pdf Promoting Universal Usability with Multi-Layer Interface Design (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/IEEE-CGA-3D-Nov2003.pdf Why Not Make Interfaces Better than 3D Reality? (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-interactions-Design_p17-23.pdf A Photo History of SIGCHI: Evolution of Design from Personal to Public (2003)]<br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/2000-06html/2000-06.html Direct Annotation: A Drag-and-Drop Strategy for Labeling Photos (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p63-shneidermanSept2000CACMf.pdf The Limits of Speech Recognition (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p84-shneiderman-May2000CACMf.pdf Universal Usability: Pushing Human-Computer Interaction Research to Empower Every Citizen (2000)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ACM-Sept11-8.doc ACM's Computing Professionals Face New Challenges (A response to Sept 11) (2002)] <br />
*''[[Card%2C_S._and_Mackinlay%2C_J._and_Shneiderman%2C_B.:_Readings_in_Information_Visualization_-_Using_Vision_to_Think%2C_Morgan_Kaufmann%2C_1999|Readings in Information Visualization - Using Vision to Think, 1999]]<br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ijhcs/main.html Designing Information-Abundant Websites (1997)] <br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/97-17html/97-17.html Relate-Create-Donate: A teaching/learning philosophy for the cyber-generation (1997)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ivwp.html Information Visualization: White Paper (1997)] <br />
*''Software Psychology: Human Factors in Computer and Information Systems'', 1980.] <br />
<br />
== Internal Links ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
<br />
== External Links ==<br />
*''[http://www.cs.umd.edu/~ben/ Homepage] <br />
*''[http://en.wikipedia.org/wiki/Ben_Shneiderman Wikipedia]<br />
*''[http://de.wikipedia.org/wiki/Ben_Shneiderman Wikipedia (in German)]<br />
*''[http://www.cs.umd.edu/hcil/members/bshneiderman/nsd/ Nassi-Shneiderman Diagrams]<br />
<br />
== Contact Informations ==<br />
Email: ben(at)cs.umd.edu<br><br />
A. V. Williams Building, Department of Computer Science<br><br />
University of Maryland, College Park, MD 20742 <br><br />
Phone: (301) 405-2680 Fax: (301) 405-6707<br><br />
[[Category:Persons]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Shneiderman,_Ben&diff=21284Shneiderman, Ben2009-05-13T13:38:49Z<p>UE-InfoVis09-03: </p>
<hr />
<div>[[Image:Shneiderman_ben.jpg|right|Ben Shneiderman]]<br />
== Biography ==<br />
'''Ben Shneiderman''' is a professor in the department of computer science, founding director of the human&ndash;computer&ndash;interaction laboratory, and member of the institute for advanced computer studies and the institute for systems research, all at the university of Maryland at College Park. He has taught previously at the State University of New York and at Indiana University.<br />
<br />
He got a B.S. in Mathematics/Physics from the City College of New York in 1968, and then went on to study at the State University of New York at Stony Brook, where he received an M.S. in Computer Science in 1972 and graduated with a Ph.D. in 1973. In addition to his influential work in user interface design, he is known for the co-invention (together with Isaac Nassi) of the Nassi-Shneiderman diagrams, a graphical representation of the design of structured software.<br />
<br />
== Affiliations ==<br />
'''current:'''<br />
*''Professor, Computer Science (1989- )<br />
*''Member, Institute for Systems Research (1991- ).<br />
*''Member, Institute for Advanced Computer Studies (1987-1991, 1997- )<br />
*''Fellow of the ACM since 1997<br />
*''Fellow of the American Association for the Advancement of Science since 2001<br />
<br />
'''previous:'''<br />
*''Institute for Advanced Computer Studies (1996-2000)<br />
*''Center for Automation Research (1983-1996)<br />
*''Founding Director (1983-2000) of the Human-Computer Interaction Laboratory<br />
*''Computer Science Advisor (1999-2002) to Smartmoney <br />
<br />
== Main Interests ==<br />
*''user interface design<br />
*''human-computer interaction<br />
*''human factors of designing user interfaces<br />
*'' information visualization<br />
*'' interactive information systems<br />
<br />
== Prominent Ideas ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
*''Hyperties (Hypertext-System)<br />
<br />
== Bibliography ==<br />
*'' [http://www.cs.umd.edu/~ben/Fun-p48-shneiderman.pdf Designing for Fun: How Can We Design User Interfaces to Be More Fun? (2004)]<br />
*'' Strategies for Effective Human-Computer Interaction (2004) <br />
*'' [http://www.cs.umd.edu/~ben/Chen-InfoViz-book-foreword.pdf Foreword: Information Visualization: Beyond the Horizon (Chen, 2004)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-CUU2003.pdf Promoting Universal Usability with Multi-Layer Interface Design (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/IEEE-CGA-3D-Nov2003.pdf Why Not Make Interfaces Better than 3D Reality? (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-interactions-Design_p17-23.pdf A Photo History of SIGCHI: Evolution of Design from Personal to Public (2003)]<br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/2000-06html/2000-06.html Direct Annotation: A Drag-and-Drop Strategy for Labeling Photos (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p63-shneidermanSept2000CACMf.pdf The Limits of Speech Recognition (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p84-shneiderman-May2000CACMf.pdf Universal Usability: Pushing Human-Computer Interaction Research to Empower Every Citizen (2000)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ACM-Sept11-8.doc ACM's Computing Professionals Face New Challenges (A response to Sept 11) (2002)] <br />
*''[[Card%2C_S._and_Mackinlay%2C_J._and_Shneiderman%2C_B.:_Readings_in_Information_Visualization_-_Using_Vision_to_Think%2C_Morgan_Kaufmann%2C_1999|Readings in Information Visualization - Using Vision to Think, 1999]]<br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ijhcs/main.html Designing Information-Abundant Websites (1997)] <br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/97-17html/97-17.html Relate-Create-Donate: A teaching/learning philosophy for the cyber-generation (1997)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ivwp.html Information Visualization: White Paper (1997)] <br />
*''Software Psychology: Human Factors in Computer and Information Systems'', 1980.] <br />
<br />
== Internal Links ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
<br />
== External Links ==<br />
*''[http://www.cs.umd.edu/~ben/ Homepage] <br />
*''[http://en.wikipedia.org/wiki/Ben_Shneiderman Wikipedia]<br />
*''[http://de.wikipedia.org/wiki/Ben_Shneiderman Wikipedia (in German)]<br />
*''[http://www.cs.umd.edu/hcil/members/bshneiderman/nsd/ Nassi-Shneiderman Diagrams]<br />
<br />
== Contact Informations ==<br />
Email: ben(at)cs.umd.edu<br><br />
A. V. Williams Building, Department of Computer Science<br><br />
University of Maryland, College Park, MD 20742 <br><br />
Phone: (301) 405-2680 Fax: (301) 405-6707<br><br />
[[Category:Persons]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=File:Shneiderman_ben.jpg&diff=21283File:Shneiderman ben.jpg2009-05-13T13:37:49Z<p>UE-InfoVis09-03: New page: == Summary == == Copyright status == == Source ==</p>
<hr />
<div>== Summary ==<br />
<br />
== Copyright status ==<br />
<br />
== Source ==</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Shneiderman,_Ben&diff=21282Shneiderman, Ben2009-05-13T13:35:34Z<p>UE-InfoVis09-03: </p>
<hr />
<div>[[Image:Shneiderman.jpg|right|Ben Shneiderman]]<br />
== Biography ==<br />
'''Ben Shneiderman''' is a professor in the department of computer science, founding director of the human&ndash;computer&ndash;interaction laboratory, and member of the institute for advanced computer studies and the institute for systems research, all at the university of Maryland at College Park. He has taught previously at the State University of New York and at Indiana University.<br />
<br />
He got a B.S. in Mathematics/Physics from the City College of New York in 1968, and then went on to study at the State University of New York at Stony Brook, where he received an M.S. in Computer Science in 1972 and graduated with a Ph.D. in 1973. In addition to his influential work in user interface design, he is known for the co-invention (together with Isaac Nassi) of the Nassi-Shneiderman diagrams, a graphical representation of the design of structured software.<br />
<br />
== Affiliations ==<br />
'''current:'''<br />
*''Professor, Computer Science (1989- )<br />
*''Member, Institute for Systems Research (1991- ).<br />
*''Member, Institute for Advanced Computer Studies (1987-1991, 1997- )<br />
*''Fellow of the ACM since 1997<br />
*''Fellow of the American Association for the Advancement of Science since 2001<br />
<br />
'''previous:'''<br />
*''Institute for Advanced Computer Studies (1996-2000)<br />
*''Center for Automation Research (1983-1996)<br />
*''Founding Director (1983-2000) of the Human-Computer Interaction Laboratory<br />
*''Computer Science Advisor (1999-2002) to Smartmoney <br />
<br />
== Main Interests ==<br />
*''user interface design<br />
*''human-computer interaction<br />
*''human factors of designing user interfaces<br />
*'' information visualization<br />
*'' interactive information systems<br />
<br />
== Prominent Ideas ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
*''Hyperties (Hypertext-System)<br />
<br />
== Bibliography ==<br />
*'' [http://www.cs.umd.edu/~ben/Fun-p48-shneiderman.pdf Designing for Fun: How Can We Design User Interfaces to Be More Fun? (2004)]<br />
*'' Strategies for Effective Human-Computer Interaction (2004) <br />
*'' [http://www.cs.umd.edu/~ben/Chen-InfoViz-book-foreword.pdf Foreword: Information Visualization: Beyond the Horizon (Chen, 2004)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-CUU2003.pdf Promoting Universal Usability with Multi-Layer Interface Design (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/IEEE-CGA-3D-Nov2003.pdf Why Not Make Interfaces Better than 3D Reality? (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-interactions-Design_p17-23.pdf A Photo History of SIGCHI: Evolution of Design from Personal to Public (2003)]<br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/2000-06html/2000-06.html Direct Annotation: A Drag-and-Drop Strategy for Labeling Photos (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p63-shneidermanSept2000CACMf.pdf The Limits of Speech Recognition (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p84-shneiderman-May2000CACMf.pdf Universal Usability: Pushing Human-Computer Interaction Research to Empower Every Citizen (2000)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ACM-Sept11-8.doc ACM's Computing Professionals Face New Challenges (A response to Sept 11) (2002)] <br />
*''[[Card%2C_S._and_Mackinlay%2C_J._and_Shneiderman%2C_B.:_Readings_in_Information_Visualization_-_Using_Vision_to_Think%2C_Morgan_Kaufmann%2C_1999|Readings in Information Visualization - Using Vision to Think, 1999]]<br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ijhcs/main.html Designing Information-Abundant Websites (1997)] <br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/97-17html/97-17.html Relate-Create-Donate: A teaching/learning philosophy for the cyber-generation (1997)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ivwp.html Information Visualization: White Paper (1997)] <br />
*''Software Psychology: Human Factors in Computer and Information Systems'', 1980.] <br />
<br />
== Internal Links ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
<br />
== External Links ==<br />
*''[http://www.cs.umd.edu/~ben/ Homepage] <br />
*''[http://en.wikipedia.org/wiki/Ben_Shneiderman Wikipedia]<br />
*''[http://de.wikipedia.org/wiki/Ben_Shneiderman Wikipedia (in German)]<br />
*''[http://www.cs.umd.edu/hcil/members/bshneiderman/nsd/ Nassi-Shneiderman Diagrams]<br />
<br />
== Contact Informations ==<br />
Email: ben(at)cs.umd.edu<br><br />
A. V. Williams Building, Department of Computer Science<br><br />
University of Maryland, College Park, MD 20742 <br><br />
Phone: (301) 405-2680 Fax: (301) 405-6707<br><br />
[[Category:Persons]]</div>UE-InfoVis09-03https://infovis-wiki.net/w/index.php?title=Shneiderman,_Ben&diff=21281Shneiderman, Ben2009-05-13T13:34:51Z<p>UE-InfoVis09-03: </p>
<hr />
<div>[[Image:Shneiderman.jpg|right|Ben Shneiderman]]<br />
'''Ben Shneiderman''' is a professor in the department of computer science, founding director of the human&ndash;computer&ndash;interaction laboratory, and member of the institute for advanced computer studies and the institute for systems research, all at the university of Maryland at College Park. He has taught previously at the State University of New York and at Indiana University.<br />
<br />
He got a B.S. in Mathematics/Physics from the City College of New York in 1968, and then went on to study at the State University of New York at Stony Brook, where he received an M.S. in Computer Science in 1972 and graduated with a Ph.D. in 1973. In addition to his influential work in user interface design, he is known for the co-invention (together with Isaac Nassi) of the Nassi-Shneiderman diagrams, a graphical representation of the design of structured software.<br />
<br />
== Affiliations ==<br />
'''current:'''<br />
*''Professor, Computer Science (1989- )<br />
*''Member, Institute for Systems Research (1991- ).<br />
*''Member, Institute for Advanced Computer Studies (1987-1991, 1997- )<br />
*''Fellow of the ACM since 1997<br />
*''Fellow of the American Association for the Advancement of Science since 2001<br />
<br />
'''previous:'''<br />
*''Institute for Advanced Computer Studies (1996-2000)<br />
*''Center for Automation Research (1983-1996)<br />
*''Founding Director (1983-2000) of the Human-Computer Interaction Laboratory<br />
*''Computer Science Advisor (1999-2002) to Smartmoney <br />
<br />
== Main Interests ==<br />
*''user interface design<br />
*''human-computer interaction<br />
*''human factors of designing user interfaces<br />
*'' information visualization<br />
*'' interactive information systems<br />
<br />
== Prominent Ideas ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
*''Hyperties (Hypertext-System)<br />
<br />
== Bibliography ==<br />
*'' [http://www.cs.umd.edu/~ben/Fun-p48-shneiderman.pdf Designing for Fun: How Can We Design User Interfaces to Be More Fun? (2004)]<br />
*'' Strategies for Effective Human-Computer Interaction (2004) <br />
*'' [http://www.cs.umd.edu/~ben/Chen-InfoViz-book-foreword.pdf Foreword: Information Visualization: Beyond the Horizon (Chen, 2004)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-CUU2003.pdf Promoting Universal Usability with Multi-Layer Interface Design (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/IEEE-CGA-3D-Nov2003.pdf Why Not Make Interfaces Better than 3D Reality? (2003)] <br />
*'' [http://www.cs.umd.edu/~ben/ACM-interactions-Design_p17-23.pdf A Photo History of SIGCHI: Evolution of Design from Personal to Public (2003)]<br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/2000-06html/2000-06.html Direct Annotation: A Drag-and-Drop Strategy for Labeling Photos (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p63-shneidermanSept2000CACMf.pdf The Limits of Speech Recognition (2000)] <br />
*'' [http://www.cs.umd.edu/~ben/p84-shneiderman-May2000CACMf.pdf Universal Usability: Pushing Human-Computer Interaction Research to Empower Every Citizen (2000)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ACM-Sept11-8.doc ACM's Computing Professionals Face New Challenges (A response to Sept 11) (2002)] <br />
*''[[Card%2C_S._and_Mackinlay%2C_J._and_Shneiderman%2C_B.:_Readings_in_Information_Visualization_-_Using_Vision_to_Think%2C_Morgan_Kaufmann%2C_1999|Readings in Information Visualization - Using Vision to Think, 1999]]<br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ijhcs/main.html Designing Information-Abundant Websites (1997)] <br />
*'' [ftp://ftp.cs.umd.edu/pub/hcil/Reports-Abstracts-Bibliography/97-17html/97-17.html Relate-Create-Donate: A teaching/learning philosophy for the cyber-generation (1997)] <br />
*'' [http://www.cs.umd.edu/hcil/members/bshneiderman/ivwp.html Information Visualization: White Paper (1997)] <br />
*''Software Psychology: Human Factors in Computer and Information Systems'', 1980.] <br />
<br />
== Internal Links ==<br />
*''[[http://www.infovis-wiki.net/index.php/LifeLines Lifelines-Technique]] <br />
<br />
== External Links ==<br />
*''[http://www.cs.umd.edu/~ben/ Homepage] <br />
*''[http://en.wikipedia.org/wiki/Ben_Shneiderman Wikipedia]<br />
*''[http://de.wikipedia.org/wiki/Ben_Shneiderman Wikipedia (in German)]<br />
*''[http://www.cs.umd.edu/hcil/members/bshneiderman/nsd/ Nassi-Shneiderman Diagrams]<br />
<br />
== Contact Informations ==<br />
Email: ben(at)cs.umd.edu<br><br />
A. V. Williams Building, Department of Computer Science<br><br />
University of Maryland, College Park, MD 20742 <br><br />
Phone: (301) 405-2680 Fax: (301) 405-6707<br><br />
[[Category:Persons]]</div>UE-InfoVis09-03