Authors:
Paulo Simões Jr.
1
;
Pedro O. Raimundo
1
;
Renato Novais
2
;
Vaninha Vieira
3
and
Manoel Mendonça
3
Affiliations:
1
Federal University of Bahia, Brazil
;
2
Federal Institute of Bahia and Fraunhofer Project Center for Software and Systems Engineering at UFBA, Brazil
;
3
Federal University of Bahia and Fraunhofer Project Center for Software and Systems Engineering at UFBA, Brazil
Keyword(s):
Emergency Management, Information Visualization, Crowdsourcing, Decision Support.
Related
Ontology
Subjects/Areas/Topics:
Accessibility and Usability
;
Artificial Intelligence and Decision Support Systems
;
Enterprise Information Systems
;
Geographical Information Systems
;
Human-Computer Interaction
;
Interface Design
;
Strategic Decision Support Systems
Abstract:
Decision making during an emergency response requires having the right information provided in the right way
to the right people. Relevant information about an emergency can be provided by several sources, including
the crowd at the place where the emergency is happening. A big challenge is how to avoid overwhelming the
decision makers with unnecessary or redundant information provided by the crowd. Our hypothesis is that
appropriate information visualization techniques improve the understanding of information sent by a crowd
during an emergency. This work presents an approach for emergency information visualization, gathered
through crowdsourcing, which improves context-aware decision making by keeping a real-time emergency
state board. This approach was implemented in ERTK, as a proof of concept, and evaluated with 15 emergency
management experts in Brazil. The yielded results show that our approach has the potential to assist a context-aware
decision making during an emergency res
ponse.
(More)