|
|
Aygul Gabdulkhakova, Birgitta König-Ries, Mareike Mähler, Yeliz Yildirim-Krannig, & Fabian Wucholt. (2011). Identifying and supporting information needs in mass casualty incidents – An interdisciplinary approach. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In mass casualty incidents (MCIs) different authorities and organizations with safety responsibilities (BOS) act in highly dynamic situations. BOS operating in MCI-scenarios have a large demand of different information. SpeedUp, a German government-funded research project, wants to support this information demand. From an IT-perspective, our basic concept is to model available resources (e.g., sources of information and communicative devices) as services and flexibly combine them to the information demand of the BOS. To achieve this, we have to know which kind of information is needed by whom and explore the structures, tasks and roles of the BOS involved. In this paper we employed an interdisciplinary and user – centered approach. It is the result of a close cooperation of two research groups: one from the Intercultural Business Communication (IWK) and one from the chair of computer sciences. While the IWK focused on identifying information needs via expert interviews and observations, the computer scientists were looking at the possibilities for technical support of these needs. Only both disciplines together can achieve viable solutions.
|
|
|
|
Lucy T. Gunawan, Siska Fitrianie, Willem-Paul Brinkman, & Mark A. Neerincx. (2012). Utilizing the potential of the affected population and prevalent mobile technology during disaster response: Propositions from a literature survey. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: Despite the growing awareness of the untapped potential of the affected population in a disaster situation, their inclusion in a disaster management is extremely limited. This study aims to survey the literature to see whether utilizing the affected people and prevalent mobile technology can be used during disaster response. The idea is to provide the affected with a way to lead themselves to safety and empower them to serve as distributed active sources of information. This way, those people will reach safety by themselves, while at the same time helping to construct a clear image of the disaster situation without burdening the already overwhelmed emergency services. This study examines knowledge derived from disaster sociology, draws on experience from recent disasters, and extrapolates current technological solutions. By establishing that such a solution is feasible, it offers a basis for empirical studies on a mobile technology that can be used during disaster response. © 2012 ISCRAM.
|
|
|
|
Beibei Hu, Jan Hidders, Marc De Lignie, & Philipp Cimiano. (2011). A rule-based system for contextualized information delivery. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: When carrying out tasks, police officers need up-to-date information contextualized to their current situation to support them in decision making. The results of a previous user study with the aim of capturing the information requirements of police officers have led to the implementation of a rule-based system for contextualized information delivery. In this paper, we present the overall system and discuss how the various sources of information are modelled using ontologies. Our focus is on the formalism for expressing the rules and the engine executing those rules to decide which information is relevant for specific users. These declarative rules can be modified independently of the code executing them, thus providing a principled way to adapt the system to new domains. Quantitative evaluations on scenarios constructed in cooperation with police officers show that precision and recall levels of our system are satisfactory compared to other systems and that our system can be adapted to new scenarios with reasonable efforts.
|
|
