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Improving the Communication of Emergency and Disaster Information Using Visual Analytics

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Advances in Human Factors and Systems Interaction (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 592))

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Abstract

Technological advances in communication and the ubiquity of mobile devices have changed the role of emergency information during disasters. Information can now be easily shared between disaster managers, first responders, government agencies, and the public via websites and social media. However, is it unclear how the emergency information is accessed, understood, trusted, and used. This paper first reports on case studies of how disaster information is currently communicated in Queensland, Australia. Second, we propose concepts from visual analytics to improve the quality and effectiveness of communicating information. Third, we propose metrics and situation awareness experiments to measure the quality and effectiveness of new systems.

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Acknowledgements

This work was partially funded by the U.S. Department of Homeland Security’s VACCINE Center under Award Number 2009-ST-061-CI0003. The authors would like to thank the disaster managers at Bundaberg Regional Council, Moreton Bay Regional Council, Redland City Council, and QIT Plus for their ongoing input and contribution towards research to improve the communication of disaster and emergency information.

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Authors and Affiliations

  1. Potter Engineering Center, Purdue University, 500 Central Drive, Room 127, West Lafayette, 47901, USA

    Chittayong Surakitbanharn & David S. Ebert

Authors
  1. Chittayong Surakitbanharn
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  2. David S. Ebert
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Corresponding author

Correspondence to Chittayong Surakitbanharn .

Editor information

Editors and Affiliations

  1. Dept Engg. Mecanica e Industrial, Universidade Nova de Lisboa, Caparica, Portugal

    Isabel L. Nunes

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Surakitbanharn, C., Ebert, D.S. (2018). Improving the Communication of Emergency and Disaster Information Using Visual Analytics. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2017. Advances in Intelligent Systems and Computing, vol 592. Springer, Cham. https://doi.org/10.1007/978-3-319-60366-7_14

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  • DOI: https://doi.org/10.1007/978-3-319-60366-7_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60365-0

  • Online ISBN: 978-3-319-60366-7

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