Temporality should be considered in the design of information technology support for crisis management (CM), both because crises are dynamic events and because time is a part of situation awareness (SA). This study has used group interviews to explore how different temporal aspects of CM can be considered in CM design and how they can influence crisis managers SA. A prototype and a scenario were used as mediating materials. The result consists of two parts. The first part is comprised of the participants' reflections on how timelines can be used to display information in CM information systems. According to the participants, timelines should present: deadlines, information sent to the public, incoming and outgoing information, an overview of where the current activities belong in the CM process and what has been going on since the last shift during shift changes. Timelines should not only display the listed information, but also provide functionality for adjusting the timescale so that information can be presented in alternative temporal perspectives. The second part of the result contains several obstacles that might influence the crisis managers' ability to obtain SA. Obstacles elicited from the group discussions are: information overflow, fast changes of SA due to incoming information, difficulties to share SA with actors outside the CM centre, forgetting things that need attention and that SA depends on the quality of incoming information. The two parts of the result have been compiled into six design principles for how temporality can be considered in CM systems in order to support SA.
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http://dx.doi.org/10.1007/s10111-011-0199-y | DOI Listing |
Biophys Rep (N Y)
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Center for Theoretical Biological Physics, Rice University, Houston, Texas 77005, USA; Department of Chemistry, Rice University, Houston, Texas 77005, USA; Department of Chemical and Biomolecular Engineering, Rice University, Houston, Texas 77005, USA. Electronic address:
All living systems display remarkable spatial and temporal precision, despite operating in intrinsically fluctuating environments. It is even more surprising given that biological phenomena are regulated by multiple chemical reactions that are also random. While the underlying molecular mechanisms of surprisingly high precision in biology remain not well understood, a novel theoretical picture that relies on the coupling of relevant stochastic processes has been recently proposed and applied to explain different phenomena.
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Department of Bioengineering, Imperial College London, London SW7 2AZ, UK. Electronic address:
Temporal echocardiography image registration is important for cardiac motion estimation, myocardial strain assessments, and stroke volume quantifications. Deep learning image registration (DLIR) is a promising way to achieve consistent and accurate registration results with low computational time. DLIR seeks the image deformation that enables the moving image to be warped to match the fixed image.
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Department of Geoinformatics, University of Kashmir, Hazratbal Srinagar 190006, Jammu and Kashmir, India.
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Department of Trauma Surgery, University Medical Center Regensburg, Regensburg, Germany; Department of Trauma, Hand- and Reconstructive Surgery, University Hospital Giessen, Giessen, Germany. Electronic address:
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