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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

ISBN: 978-989-758-249-3

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 resp onse. (More)

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Paper citation in several formats:
Simões Jr., P.; Raimundo, P.; Novais, R.; Vieira, V. and Mendonça, M. (2017). Supporting Decision Making during Emergencies through Information Visualization of Crowdsourcing Emergency Data.In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-758-249-3, pages 178-185. DOI: 10.5220/0006370701780185

@conference{iceis17,
author={Paulo Simões Jr.. and Pedro O. Raimundo. and Renato Novais. and Vaninha Vieira. and Manoel Mendon\c{C}a.},
title={Supporting Decision Making during Emergencies through Information Visualization of Crowdsourcing Emergency Data},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2017},
pages={178-185},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006370701780185},
isbn={978-989-758-249-3},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - Supporting Decision Making during Emergencies through Information Visualization of Crowdsourcing Emergency Data
SN - 978-989-758-249-3
AU - Simões Jr., P.
AU - Raimundo, P.
AU - Novais, R.
AU - Vieira, V.
AU - Mendonça, M.
PY - 2017
SP - 178
EP - 185
DO - 10.5220/0006370701780185

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