Supporting collaborative sense-making in emergency management through geo-visualization.
In emergency management, collaborative decision-making usually involves collaborative sense-making of diverse information by a group of experts from different knowledge domains, and needs better tools to analyze role-specific information, share and synthesize relevant information, and remain aware of the activities of others. This paper presents our research on the design of a collaborative sense-making system to support team work. We propose a multi-view, role-based design to help team members analyze geo-spatial information, share and integrate critical information, and monitor individual activities. Our design uses coordinated maps and activity visualization to aid decision-making as well as group activity awareness. The paper discusses design rationale, iterative design of visualization tools, prototype implementation, and system evaluation. Our work can potentially improve and extend collaborative tasks in emergency management. (PsycINFO Database Record (c) 2017 APA, all rights reserved)
The design and implementation of system prototypes went through a two- phased iterative process that included technical system implementation, system evaluation, and system function improvement.
Iterative design research
Design implementation phases:Java system prototypeWeb-based prototype
This paper presents our research on the design of a collaborative sense-making system to support team work
First, our systems focus on one specific geo-collaboration task.our visualization tools are still limited
The contribution of the work reported in this paper lies in the design research on a new collaborative system for teams doing complex geo-spatial planning tasks. Our design of a multi-view, role-based system has the potential to improve and extend collaborative tasks in emergency management.
we developed system prototypes to support role-based geo-collaboration. These system prototypes are targeted at multi-expert teams making complex decisions based on maps.
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