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Emergency data analysis via semantic lensing
Aaron Burgman
author
Nikhil Kalghatgi
author
Erika Darling
author
Chris M. Newbern
author
Kristine Recktenwald
author
Shawn Chin
author
Howard Kong
author
2006
Royal Flemish Academy of Belgium
Newark, NJ
English
Emergency situations often play out over extended geographic regions and can present response personnel with numerous types of data at various level of detail. Such data may be displayed in mapping software tools that organize the data into layers. Sufficiently complex scenarios can result in dense, occluded, and cluttered map displays. We investigated a localized, detail-on-demand filtering strategy called semantic lensing that in certain situations provides a more efficient and desirable approach than filtering global layers for mitigating clutter and occlusion. An initial formal user study with these semantic lenses has shown their value in aiding decision makers during tasks that might occur during detection of and response to emergency situations. Completion times are significantly faster when using lenses, and workloads are significantly lower. Future work will evaluate additional features and task-specific applicability, and may support the distribution of such a lens tool to emergency preparedness and response personnel.
Information systems
Semantics
Analysis
Completion time
Decision makers
Emergency preparedness and response
Emergency situation
Filtering strategies
Information visualization
Mapping softwares
Emergency services
exported from refbase (http://idl.iscram.org/show.php?record=352), last updated on Sun, 09 Aug 2015 11:43:30 +0200
text
http://idl.iscram.org/files/burgman/2006/352_Burgman_etal2006.pdf
AaronBurgman_etal2006
Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management
ISCRAM 2006
B. Van de Walle
M
Turoff
editor
3rd International ISCRAM Conference on Information Systems for Crisis Response and Management
2006
Royal Flemish Academy of Belgium
Newark, NJ
conference publication
334
338
9090206019; 9789090206011
2411-3387
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