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Siska Fitrianie, Ronald Poppe, Trung H. Bui, Alin Gavril Chitu, Dragos Datcu, Ramón Dor, et al. (2007). A multimodal human-computer interaction framework for research into crisis management. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 149–158). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Unreliable communication networks, chaotic environments and stressful conditions can make communication during crisis events difficult. The current practice in crisis management can be improved by introducing ICT systems in the process. However, much experimentation is needed to determine where and how ICT can aid. Therefore, we propose a framework in which predefined modules can be connected in an ad hoc fashion. Such a framework allows for rapid development and evaluation of such ICT systems. The framework offers recognition of various communication modalities including speech, lip movement, facial expression, handwriting and drawing, body gesture, text and visual symbols. It provides mechanisms to fuse these modalities into a context dependent interpretation of the current situation and generate appropriate the multimodal information responses. The proposed toolbox can be used as part of a disaster and rescue simulation. We propose evaluation methods, and focus on the technological aspects of our framework.
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Markku T. Häkkinen, & Helen T. Sullivan. (2007). Effective communication of warnings and critical information: Application of accessible design methods to auditory warnings. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 167–171). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: When a system initiates an auditory warning or alert, detection and correct identification of the information by the human recipient can be influenced by a variety of factors. Examples from aviation and public warning demonstrate instances where messages are ignored, not understood or misinterpreted. The reasons why messages may fail can stem from the design of the message itself, environmental conditions, and sensory or cognitive impairments. Based upon experience from several contexts and from the development of assistive technology for people with disabilities, promising design approaches are being explored in research on warning system design. The importance of multimodal warnings, selection of speech type, and internationalization are discussed.
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Susanne Jul. (2007). Who's really on first? A domain-level user, task and context analysis for response technology. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 139–148). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper presents a domain-level user, task and context analysis for response technology, based on sociological studies of disaster and disaster response. The analysis examines three dimensions of disaster-scale, kind and anticipability-that have been linked to differences in response characteristics, including differences in individual and organizational responders and behaviors. It yields a number of implications for design, and reveals five domain-specific design requirements. It also offers systematic characterizations of users, tasks and contexts of response technology, that begin to structure the user interface design space, laying a foundation for a theory of design. This work provides a conceptual basis to help researchers and designers recognize and address possible limitations of design decisions, leading, ultimately, to more usable and effective response technologies.
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Laura Montells, Susana Montero, Paloma Díaz, & Ignacio Aedo. (2007). Mining patterns for web-based emergency management systems. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 133–138). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Design patterns describe problems that occur recurrently, and specify the core of the solution in such a way that we can (re)use it in different contexts and applications. Although, web-based Emergency Management Systems domain is still in its nascent stages, there are design principles, real systems and design patterns from other related areas that can be a valuable source of knowledge to mine design patterns. From these sources we have created a patterns catalogue to assist novice designers on discovering what issues should be addressed to develop useful and successful systems. In this paper, we present the mining process and some patterns as example.
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Don J.M. Willems, & Louis Vuurpijl. (2007). Designing interactive maps for crisis management. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 159–166). Delft: Information Systems for Crisis Response and Management, 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%.
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