Transparency-based information filtering on 2D/3D geographical maps
| Autor: | Maurizio Lucenteforte, Matteo Delsanto, Noemi Mauro, Daniele Scanu, Adriano Savoca, Liliana Ardissono |
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| Rok vydání: | 2018 |
| Předmět: |
Focus (computing)
Information retrieval Computer science media_common.quotation_subject Search Results Visualization 020207 software engineering 02 engineering and technology Transparency (behavior) Visualization model 2D/3D Geographical Maps Task (project management) Identification (information) Presentation Search Results Visualization 2D/3D Geographical Maps Opacity Tuning Visual Information Filtering 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Opacity Tuning Visual Information Filtering Geographical maps Relevant information media_common |
| Zdroj: | AVI |
| DOI: | 10.1145/3206505.3206566 |
| Popis: | The presentation of search results in GIS can expose the user to cluttered geographical maps, challenging the identification of relevant information. In order to address this issue, we propose a visualization model supporting interactive information filtering on 2D/3D maps. Our model is based on the introduction of transparency sliders that enable the user to tune the opacity, and thus the emphasis, of data categories in the map. In this way, he or she can focus the maps on the most relevant types of information for the task to be performed. A test with users provided positive results concerning the efficacy of our model. |
| Databáze: | OpenAIRE |
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