Designing a human-centered, multimodal GIS interface to support emergency management

Ingmar Rauschert, Pyush Agrawal, Rajeev Sharma, Sven Fuhrmann, Isaac Brewer, Alan MacEachren, Hongmei Wang, Guoray Cai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

110 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the ACM Workshop on Advances in Geographic Information Systems
EditorsA. Voisard, S. Chen
Pages119-124
Number of pages6
StatePublished - 2002
EventTenth ACM International Symposium on Advances in Geographic Information Systems - McLean, VA, United States
Duration: Nov 8 2002Nov 9 2002

Other

OtherTenth ACM International Symposium on Advances in Geographic Information Systems
Country/TerritoryUnited States
CityMcLean, VA
Period11/8/0211/9/02

All Science Journal Classification (ASJC) codes

  • General Computer Science

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