Supporting the on-site emergency management through a visualisation technique for mobile devices

In case of emergency, visual analytics applications may be a successful means for quickly organising necessary activities. They allow decision-makers to immediately visualise the status of the crisis, plan the evacuation and address people towards vacancies in emergency centres. Although the effectiveness of such applications is immediately clear, further support may be gained by allowing people to directly manage the emergency on site. In this sense, it seems to be particularly desiderable to provide interfaces which support visual analytics tasks on small and handheld devices without losing their communicative efficacy. In this article, we adopt and extend a visualisation techinque, named Framy, specifically conceived for visualising in a very intuitive way a large number of aggregates on very small devices. In particular, we show how it reveals to be suitable for the management of these kinds of emergencies by embedding and qualitatively aggregating both spatial and temporal information useful for catching status and evolution of events. An example concerning an evacuation scenario shows the Framy extended capability.

[1]  A R Smith,et al.  Color Gamut Transformation Pairs , 1978 .

[2]  Kristin A. Cook,et al.  Illuminating the Path: The Research and Development Agenda for Visual Analytics , 2005 .

[3]  Genny Tortora,et al.  Framy – visualising geographic data on mobile interfaces , 2008, J. Locat. Based Serv..

[4]  Luca Chittaro,et al.  Visualizing information on mobile devices , 2006, Computer.

[5]  Gennady L. Andrienko,et al.  Visual Analytics Approach to User-Controlled Evacuation Scheduling∗ , 2007, 2007 IEEE Symposium on Visual Analytics Science and Technology.

[6]  Michel Jacobs,et al.  The art of colour , 1923 .

[7]  Heidrun Schumann,et al.  Visual Methods for Analyzing Time-Oriented Data , 2008, IEEE Transactions on Visualization and Computer Graphics.

[8]  Alvy Ray Smith,et al.  Color gamut transform pairs , 1978, SIGGRAPH.

[9]  Alessandro D'Atri,et al.  Information Systems: People, Organizations, Institutions, and Technologies ItAIS The Italian Association for Information Systems , 2009 .

[10]  Xue Jun Li,et al.  Design and implementation of user interface for mobile devices , 2004, IEEE Transactions on Consumer Electronics.

[11]  Gennady Andrienko,et al.  Visual Analytics Approach to User-Controlled Evacuation Scheduling , 2007 .

[12]  Kjetil Fagerholt A computer-based decision support system for vessel fleet scheduling - experience and future research , 2004, Decis. Support Syst..

[13]  Ab Razak Che Hussin,et al.  Three Layers Design Guideline for Mobile Application , 2009, 2009 International Conference on Information Management and Engineering.

[14]  Patrick Baudisch,et al.  City lights: contextual views in minimal space , 2003, CHI Extended Abstracts.

[15]  J. Jacko,et al.  The human-computer interaction handbook: fundamentals, evolving technologies and emerging applications , 2002 .

[16]  David S. Ebert,et al.  Visual Analytics on Mobile Devices for Emergency Response , 2007, 2007 IEEE Symposium on Visual Analytics Science and Technology.

[17]  Patrick Baudisch,et al.  Halo: a Technique for Visualizing Off-Screen Locations , 2003 .

[18]  Stephen F. Smith,et al.  Comirem: an intelligent form for resource management , 2005, IEEE Intelligent Systems.

[19]  Patrick Baudisch,et al.  Halo: a technique for visualizing off-screen objects , 2003, CHI '03.

[20]  Genny Tortora,et al.  Audio-Visual Information Clues about Geographic Data on Mobile Interfaces , 2009, PCM.

[21]  G. Vitiello,et al.  Visualizing Geographic Data on Mobile Interfaces: The Strategic Use of Colors and Color Intensity as Information Clues , 2009 .

[22]  Daniel A. Keim,et al.  Geovisual analytics for spatial decision support: Setting the research agenda , 2007, Int. J. Geogr. Inf. Sci..