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Emergency data analysis via semantic lensing
Aaron Burgman
Nikhil Kalghatgi
Erika Darling
Chris M. Newbern
Kristine Recktenwald
Shawn Chin
Howard Kong
B. Van de Walle, M.T.
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.
urn:ISBN:9090206019; 9789090206011
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=Emergency%20data%20analysis%20via%20semantic%20lensing&stitle=ISCRAM%202006&issn=2411-3387&isbn=9090206019%3B%209789090206011&date=2006&spage=334&epage=338&aulast=Aaron%20Burgman&au=Nikhil%20Kalghatgi&au=Erika%20Darling&au=Chris%20M.%20Newbern&au=Kristine%20Recktenwald&au=Shawn%20Chin&au=Howard%20Kong&pub=Royal%20Flemish%20Academy%20of%20Belgium&place=Newark%2C%20NJ&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=352
citekey:AaronBurgman_etal2006
citation:Aaron Burgman, Nikhil Kalghatgi, Erika Darling, Chris M. Newbern, Kristine Recktenwald, Shawn Chin, et al. (2006). Emergency data analysis via semantic lensing. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 334-338). Newark, NJ: Royal Flemish Academy of Belgium.
2006
ConferencePaper
text
Information systems
Semantics
Analysis
Completion time
Decision makers
Emergency preparedness and response
Emergency situation
Filtering strategies
Information visualization
Mapping softwares
Emergency services
file:http://idl.iscram.org/files/burgman/2006/352_Burgman_etal2006.pdf
Royal Flemish Academy of Belgium
English
2411-3387
Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management
2006
334
338
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