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eisti_tool [2019/06/26 10:37]
laumond
eisti_tool [2019/06/26 10:39]
laumond
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 Given the size of the histograph dataset, an overall visualization of the corpus is neither suitable nor desirable for exploration. Users are rather interested in creating and inspecting subnetworks with entities relevant to their current research interest. Therefore, the main idea of Intergraph is to begin the exploration from one or more known start nodes. Following the expand-on-demand principle, the user will encounter new relevant nodes and pursue their exploration by conveniently creating additional graphs stemming from the existing ones. This path of exploration yields a sequence of linked sub-graphs. The following figure shows a global screenshot of the Intergraph interface. Given the size of the histograph dataset, an overall visualization of the corpus is neither suitable nor desirable for exploration. Users are rather interested in creating and inspecting subnetworks with entities relevant to their current research interest. Therefore, the main idea of Intergraph is to begin the exploration from one or more known start nodes. Following the expand-on-demand principle, the user will encounter new relevant nodes and pursue their exploration by conveniently creating additional graphs stemming from the existing ones. This path of exploration yields a sequence of linked sub-graphs. The following figure shows a global screenshot of the Intergraph interface.
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 {{ :​img:​intergraph.png?​800 |}} {{ :​img:​intergraph.png?​800 |}}
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 Graphs can be dynamically added to and deleted from the scene. Following the VisLink approach, they are rendered on free-floating planes which can be arbitrarily translated, oriented and scaled using familiar transformation widgets. Depending on the user tasks and preferences,​ the scene can be viewed in a 2Dor a 3D perspective. ​ Graphs can be dynamically added to and deleted from the scene. Following the VisLink approach, they are rendered on free-floating planes which can be arbitrarily translated, oriented and scaled using familiar transformation widgets. Depending on the user tasks and preferences,​ the scene can be viewed in a 2Dor a 3D perspective. ​
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 Following the 45 minute testing period users were asked to give verbal feedback and to complete a questionnaire. ​ Concerning verbal feedback, users appreciated the ease of navigating through the corpus, the flexibility and freedom to combine different elements, the links across canvases, the management of duplicate entities as well as the ability to drill down to the underlying resources. In the questionnaire,​ users were invited to rate on a scale of 1 to 7 the utility of Intergraph with view to all aspects of the initially defined user story. As a result, the following figure shows a high general acceptance. In particular, all users declared that for the given user story they would prefer to use Intergaph over the other available tools (CVCE homepage search and CVCE backendsearch). Following the 45 minute testing period users were asked to give verbal feedback and to complete a questionnaire. ​ Concerning verbal feedback, users appreciated the ease of navigating through the corpus, the flexibility and freedom to combine different elements, the links across canvases, the management of duplicate entities as well as the ability to drill down to the underlying resources. In the questionnaire,​ users were invited to rate on a scale of 1 to 7 the utility of Intergraph with view to all aspects of the initially defined user story. As a result, the following figure shows a high general acceptance. In particular, all users declared that for the given user story they would prefer to use Intergaph over the other available tools (CVCE homepage search and CVCE backendsearch).
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 {{ :​img:​intergraph2.png?​400 |}} {{ :​img:​intergraph2.png?​400 |}}