Abstract: Maps, showing the tactical or the administrative situation at any particular time, play a central role in disaster management. They can be realized as interactive map mashups. In addition to classical information (weather, water levels, energy network, forces), they can also be used to present a view on citizen-generated content, e.g. from social media. In this paper we offer insights into how mobile map mashups can assist citizens during infrastructure failures that often occur in large-scale emergencies. Based on a review of approaches and mobile applications from literature and especially from practice, we present SOMAP (social offline map), a mobile app we developed in Android. It offers offline map functionality in terms of (A) pro-active loading and storing of potentially needed maps of the respective area as well as (B) the possibility of exchanging information from social media using Bluetooth. The application was evaluated qualitatively, to gain insights into the potential of such applications.

Abstract: Crisis management (CM) is an aspect of command and control characterized by complexity, uncertainty, and severe time pressure. To address these challenges, CM teams can use collaborative work support systems (CWSS) to help plan their intervention and coordination activities. However, the use of CWSS is not necessarily beneficial and in some cases, can impede more than augment performance. Hence, it is essential to understand the impact of a CWSS on team performance and CM teamwork. We have developed a methodology to assess the effectiveness of CWSS by comparing the use of an interactive Smartboard with that of a traditional topographic map during team planning activities. To do so, a dynamic CM situation is simulated using a forest firefighting functional simulation – the C3Fire microworld. We compared two groups of participants on the basis of performance, communication, coordination efficiency, and planning quality. Based on a preliminary analysis, in comparison to maps, the use of a CWSS seems to be beneficial to planning activities and CM coordination. At this point the main contribution of the current on-going project is to provide a method and metrics for the objective assessment of new technology in the context of CM.

Abstract: Exercise managers and instructors have a particularly challenging task in monitoring and controlling on-going exercises, which may involve multiple response teams and organizations in highly complex and continuously evolving crisis situations. Managers and instructors must handle potentially incomplete and conflicting field-observation data and make decisions in real-time in order to control the flow of the exercise and to keep it in line with the training objectives. In simulation-based exercises, managers and instructors have access to a rich set of real-time data, with an increased potential to closely monitor the trainees' actions, and to keep the exercise on track. To assist exercise managers and instructors, data about the on-going exercise can be filtered, aggregated and refined by real-time decision-support systems. We have developed a model and a prototype decision-support system, using stream-based reasoning to assist exercise managers and instructors in real-time. The approach takes advantage of topic maps for ontological representation and a complex-event processing engine for analyzing the data stream from a virtual-reality simulator for crisis-management training. Aggregated data is presented both on-screen, in Twitter, and in the form of topic maps. © 2012 ISCRAM.

Abstract: The Canadian Multi-Agency Situational Awareness System (MASAS) is rapidly becoming Canada's national system for exchanging emergency management incident-relevant information amongst multiple agencies and jurisdictions. Through the use of structured information aligned with open standards, and a centrally managed open architecture, MASAS provides a trusted virtual community with the ability to seamlessly exchange emergency management information. MASAS offers an information exchange architecture that is based around a highly resilient system of data aggregation hubs that are easily accessible directly or through third party commercial tools by emergency management officials at all levels, from the smallest community in the most remote areas of Canada's north to key federal stakeholders such as the federal Government Operations Centre or the Canadian military. This paper highlights the key design principles, experimental activities, and technology implementation strategies that are positioning MASAS as a Canadian success story in the making – from coast to coast to coast. © 2012 ISCRAM.

Abstract: This paper describes the design, implementation, and evaluation of pen input recognition systems that are suited for so-called interactive maps. Such systems provide the possibility to enter handwriting, drawings, sketches and other modes of pen input. Typically, interactive maps are used to annotate objects or mark situations that are depicted on the display of video walls, handhelds, PDAs, or tablet PCs. Our research explores the possibility of employing interactive maps for crisis management systems, which require robust and effective communication of, e.g., the location of objects, the kind of incidents, or the indication of route alternatives. The design process described here is a mix of “best practices” for building perceptive systems, combining research in pattern recognition, human factors, and human-computer interaction. Using this approach, comprising data collection and annotation, feature extraction, and the design of domain-specific recognition technology, a decrease in error rates is achieved from 9.3% to 4.0%.