Supporting Decision Making during Emergencies through Information Visualization of Crowdsourcing Emergency Data

Paulo Simões Jr., Pedro O. Raimundo, Renato Novais, Vaninha Vieira, Manoel Mendonça

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 response.

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Paper Citation


in Harvard Style

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


in Bibtex Style

@conference{iceis17,
author={Paulo Simões Jr. and Pedro O. Raimundo and Renato Novais and Vaninha Vieira and Manoel Mendonça},
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},
}


in EndNote Style

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