@misc{
 title = {Designing a human-centered, multimodal gis interface to support emergency management},
 type = {misc},
 year = {2002},
 source = {ACM GIS\textquoteright02, 10th ACM Symposium on Advances in Geographic Information Systems},
 keywords = {GIS,crisis,decision-support,gesture,interface,multimodal,risk,speech},
 websites = {http://www.geovista.psu.edu/publications/2002/ACM_GIS/p90-rauschert.pdf},
 publisher = {ACM Press},
 city = {Washington, DC, USA},
 id = {4205ca0b-b4e8-36c2-85b7-62d4b6ba7787},
 created = {2018-05-29T14:05:19.425Z},
 file_attached = {false},
 profile_id = {6d8d7993-9618-3f6c-983a-9f6761313797},
 group_id = {4f1d95d1-59ee-3ce8-85ce-055cfae2da74},
 last_modified = {2018-05-29T14:05:19.425Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {13632},
 source_type = {booklet},
 notes = {DAVE_G},
 private_publication = {false},
 abstract = {Geospatial information is critical to effective, collaborative decision-making during emergency management situations; however conventional GIS are not suited for multi-user access and high-level abstract queries. Currently, decision makers do not always have the real time information they need; GIS analysts produce maps at the request of individual decision makers, often leading to overlapping requests with slow delivery times. In order to overcome these limitations, a paradigm shift in interface design for GIS is needed. The research reported upon here attempts to overcome analyst-driven, menu-controlled, keyboard and mouse operated GIS by designing a multimodal, multi-user GIS interface that puts geospatial data directly in the hands of decision makers. A large screen display is used for data visualization, and collaborative, multi-user interactions in emergency management are supported through voice and gesture recognition. Speech and gesture recognition is coupled with a knowledge-based dialogue management system for storing and retrieving geospatial data. This paper describes the first prototype and the insights gained for human-centered multimodal GIS interface design.},
 bibtype = {misc},
 author = {Ingmar, Rauschert and Agrawal, P and Sven, Fuhrmann and Brewer, I and Wang, Hongmei and Rajeev, Sharma and Cai, G and Alan, M MacEachren}
}

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