Human-Centered Visualization Environments: GI-Dagstuhl Research Seminar, Dagstuhl Castle, Germany, March 5-8, 2006, Revised PapersAndreas Kerren, Achim Ebert, Jörg Meyer Springer, 2007. gada 3. aug. - 403 lappuses This tutorial book features an augmented selection of the material presented at the GI-Dagstuhl Research Seminar on Human-Centered Visualization Environments, HCVE 2006, held in Dagstuhl Castle, Germany in March 2006. It presents eight tutorial lectures that are the thoroughly cross-reviewed and revised versions of the summaries and findings presented and discussed at the seminar. |
No grāmatas satura
1.–5. rezultāts no 63.
v. lappuse
... selected mainly according to their scientific qualification. Subtopics from the area of this seminar were assigned to the participants, who prepared comprehensive overview papers. During the seminar, their summaries and findings were ...
... selected mainly according to their scientific qualification. Subtopics from the area of this seminar were assigned to the participants, who prepared comprehensive overview papers. During the seminar, their summaries and findings were ...
2. lappuse
... selecting the described techniques. At the beginning of the book, an overview of the most significant human-centered design aspects is given, such as users' aims, users' requirements, and usability, followed by design evaluation methods ...
... selecting the described techniques. At the beginning of the book, an overview of the most significant human-centered design aspects is given, such as users' aims, users' requirements, and usability, followed by design evaluation methods ...
8. lappuse
... selection of current algorithm animation tools summarizing the different ways users can interact with them, the methods that have been used to evaluate them, and the results that have been reported. Biomedical Information Visualization ...
... selection of current algorithm animation tools summarizing the different ways users can interact with them, the methods that have been used to evaluate them, and the results that have been reported. Biomedical Information Visualization ...
22. lappuse
... selected image is shown in original size in another window. But, in spite of this additions the use of the interface has not been successful. The third version of the interface tries to improve effectiveness by modifying the scale ...
... selected image is shown in original size in another window. But, in spite of this additions the use of the interface has not been successful. The third version of the interface tries to improve effectiveness by modifying the scale ...
25. lappuse
... Selected information can contain a large number of attributes, where only target attributes should be searched. The recognition process may also be affected by a low signal-to-noise ratio if useful attributes make up a small percentage ...
... Selected information can contain a large number of attributes, where only target attributes should be searched. The recognition process may also be affected by a low signal-to-noise ratio if useful attributes make up a small percentage ...
Bieži izmantoti vārdi un frāzes
abstract ACM Press algorithm allows analysis animation application approach aspects attributes challenge collaborative color combination communication compared complex Computer conference context create data sets defined described detail developed devices discussed display distance domain drawing edges effectiveness environment evaluation example experiments exploration extension field Figure focus future geovisualization given graph Graphics human human-centered IEEE Computer Image important improve Information Visualization input interaction interest interface International issues layout limited methods modalities multimodal multiple nodes objects participants patterns performance plot position possible presented problems Proceedings represent representation requirements scale Science scientific visualization selection sequence shows similar Society space specific structure Symposium tasks techniques technologies tion tracking tree types understand University usability user’s values virtual York
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