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Record |
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Author  |
Flavio Dusse; Renato Novais; Manoel Mendonça |
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Title |
A Visual Analytics Based Model for Crisis Management Decision-Making |
Type |
Conference Article |
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Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
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Volume |
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Issue |
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Pages |
157-166 |
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Keywords |
Crisis Management, Decision-Making, Visual Analytics, Model. |
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Abstract |
Crisis Management (CM) refers to the ability to deal with crisis tasks in different phases and iterations. People working in a crisis are generally under pressure to make the right decision at the right time. They must process large amounts of data and assimilate the received information in an intuitive way. Visual Analytics (VA) is potentially useful to analyze and understand the huge amount of data in several areas including in a crisis. We propose a model based on VA to support decision-making in CM. The aim of the model is to help visualization designers to create effective VA interfaces, to help crisis managers to make quick and assertive decisions with them. In previous studies, we carried out a survey protocol with a multi-method approach to collect data on crisis related decision-making and analyze all these data qualitatively with formal techniques during the large events held in Brazil in recent years. In this work, we used our previous findings to develop the proposed model. We validated it using the focus group technique. With the new findings, we identified relevant insights on the use of VA for crisis management. We hope that, with these continuous cycles of validation and improvement, the agencies that manage crises might use our model as a reference for building more effective IT decision-making infrastructures based on VA. |
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Address |
Federal University of Bahia; Federal Institute of Bahia; Federal University of Bahia |
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Thesis |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Edition |
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ISSN |
978-1-949373-27-15 |
ISBN |
2411-3401 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
17th International Conference on Information Systems for Crisis Response and Management |
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Notes |
dussebr@dcc.ufba.br |
Approved |
no |
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Call Number |
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Serial |
2216 |
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