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  • 1.
    Ekberg, Joakim
    et al.
    Linköping University, Department of Medical and Health Sciences, Social Medicine and Public Health Science. Linköping University, Faculty of Health Sciences.
    Timpka, Toomas
    Linköping University, Department of Medical and Health Sciences, Social Medicine and Public Health Science. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Centre for Public Health Sciences.
    Morin, Magnus
    VSL Research Labs.
    Jenvald, Johan
    VSL Research Labs.
    Nyce, James
    Ball State University.
    Gursky, Elin
    Analytical Service Inc.
    Eriksson, Henrik
    Linköping University, Department of Computer and Information Science, MDALAB - Human Computer Interfaces. Linköping University, The Institute of Technology.
    Transparency and documentation in simulations of infectious disease outbreaks: Towards evidence-based public health decisions and communications2009In: Proceedings of the Second International ICST Conference on Electronic Healthcare for the 21st century, 2009, p. 28-34Conference paper (Refereed)
    Abstract [en]

    Computer simulations have emerged as important tools in the preparation for outbreaks of infectious disease. To support the collaborative planning and responding to the outbreaks, reports from simulations need to be transparent (accessible) with regard to the underlying parametric settings. This paper presents a design for generation of simulation reports where the background settings used in the simulation models are automatically visualized. We extended the ontology-management system Protégé to tag different settings into categories, and included these in report generation in parallel to the simulation outcomes. The report generator takes advantage of an XSLT specification and collects the documentation of the particular simulation settings into abridged XMLs including also summarized results. We conclude that even though inclusion of critical background settings in reports may not increase the accuracy of infectious disease simulations, it can prevent misunderstandings and less than optimal public health decisions.

  • 2.
    Eriksson, Henrik
    et al.
    Linköping University, Department of Computer and Information Science, MDALAB - Human Computer Interfaces. Linköping University, The Institute of Technology.
    Morin, Magnus
    VSL Research Labs, Linköping.
    Ekberg, Joakim
    Linköping University, Department of Medicine and Health Sciences, Division of Preventive and Social Medicine and Public Health Science. Linköping University, Faculty of Health Sciences.
    Jenvald, Johan
    VSL Research Labs, Linköping.
    Timpka, Toomas
    Linköping University, Department of Medicine and Health Sciences, Division of Preventive and Social Medicine and Public Health Science. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Centre for Public Health Sciences.
    Assumptions management in simulation of infectious disease outbreaks2009In: AMIA ... Annual Symposium proceedings / AMIA Symposium, ISSN 1942-597X, Vol. 2009, p. 173-177Article in journal (Refereed)
    Abstract [en]

    Simulation of outbreaks of infectious disease is an important tool for understanding the dynamics of the outbreak process, the impact of disease and population properties, and the potential effect of interventions. However, the interpretation of the simulation results requires a clear understanding of the assumptions made in the underlying model. Typical simulation tasks, such as exploring the space of different scenarios for population and disease properties, require multiple runs with varying model parameters. For such complex tasks, the management of the assumptions made becomes a daunting and potentially error-prone undertaking. We report explicit assumptions management as an approach to capture, model, and document the assumptions for simulator runs. It was found possible to extend ontology-based simulation, which uses an ontological model to parameterize the simulator, to incorporate an assumptions model in the ontology. We conclude that explicit assumptions modeling should be part of any infectious disease simulation architecture from start.

  • 3.
    Eriksson, Henrik
    et al.
    Linköping University, Department of Computer and Information Science, MDALAB - Human Computer Interfaces. Linköping University, The Institute of Technology.
    Morin, Magnus
    VSL Research Labs.
    Ekberg, Joakim
    Linköping University, Department of Medicine and Health Sciences, Division of Preventive and Social Medicine and Public Health Science. Linköping University, Faculty of Health Sciences.
    Jenvald, Johan
    VSL Research Labs.
    Timpka, Toomas
    Linköping University, Department of Medicine and Health Sciences, Division of Preventive and Social Medicine and Public Health Science. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Centre for Public Health Sciences.
    Simulation modeling using Protégé2009In: Proceedings of the Eleventh International Proégé Conference, 2009Conference paper (Other academic)
  • 4.
    Jenvald, Johan
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Methods and tools in computer-supported taskforce training1999Doctoral thesis, monograph (Other academic)
    Abstract [en]

    Efficient trammg methods are important for establishing, maintammg and developing taskforces that are organised to manage complex and dangerous situations in order to serve and protect our society. Furthermore, the technical sophistication of various systems in these organisations, for example command, control and communication systems is growing, while the resources available for training are being reduced due to budget cuts and environmental restrictions. Realism in the training situation is important so that the actual training prepares the trainees for, and improves the performance in, real situations. The ability to observe and review the training course of events is crucial if we want to identify the strengths and shortcomings of the trained unit, in the overall effort to improve taskforce performance.

    This thesis describes and characterises methods and tools in computersupported training of multiple teams organised in taskforces, which carry out complex and time-critical missions in hazardous environments. We present a framework that consists of a training methodology together with a system architecture for an instrumentation system which can provide different levels of computer support during the different training phases. In addition, we use two case studies to describe the application of our methods and tools in the military force-on-force battle-training domain and the emergency management and response domain.

    Our approach is to use an observable realistic training environment to improve the training of teams and taskforces. There are three major factors in our approach to taskforce training that provide the necessary realism and the ability to make unbiased observations of the training situations. The first factor is the modelling and simulation of systems and factors that have a decisive effect on the training situation and that contribute in creating a realistic training environment. The second factor is the data collection that supports unbiased recording of the activities of the trained taskforce when solving a re levant task. The data come both from technical systems and from reports based on manual observations. The third factor is the visualisation of compiled exercise data that provides the participants and others with a coherent view of the exercise.

    The main contribution of this thesis is the systematic description of the combination of a training methodology and a system architecture for an instrumentation system for computer-supported taskforce training. The description characterises the properties and features of our computer-supported taskforce-training approach, applied in two domains.

  • 5.
    Jenvald, Johan
    et al.
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, ASLAB - Application Systems Laboratory.
    Morin, Magnus
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, ASLAB - Application Systems Laboratory.
    Timpka, Toomas
    Linköping University, Faculty of Health Sciences. Linköping University, Department of Department of Health and Society, Division of Preventive and Social Medicine and Public Health Science. Östergötlands Läns Landsting, Centre for Public Health Sciences, Centre for Public Health Sciences.
    Eriksson, Henrik
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, MDALAB - Human Computer Interfaces.
    Simulation as decision support in pandemic influenza preparedness and response2007In: The Conference on Intelligent Human Computer Systems for Crisis Response and Management,2007, 2007Conference paper (Refereed)
  • 6.
    Jenvald, Johan
    et al.
    VSL Research Labs.
    Stjernberger, Johan
    FOI.
    Nygren, Anders
    Eriksson, Henrik
    Linköping University, Department of Computer and Information Science, ASLAB - Application Systems Laboratory. Linköping University, The Institute of Technology.
    Using wireless networks to provide early warning of emergency incidents2002In: Proceedings of The 9th International Emergency Management Society Conference (TIEMS 2002), 2002Conference paper (Refereed)
  • 7.
    Leifler, Ola
    et al.
    Linköping University, Department of Computer and Information Science, MDALAB - Human Computer Interfaces. Linköping University, The Institute of Technology.
    Jenvald, Johan
    Visuell Systemteknik i Linköping AB, Linköping, Sweden.
    Simulation as a tool for problem detection in rescue operation planning2005In: Proceedings of the Conference on Modeling and Simulation for Public Safety: SimSafe 2005, 2005Conference paper (Other academic)
    Abstract [en]

    Management and response in the case of an emergency is a very demanding task. Rescue missiuns can involve numerous individuals and teams working together to save lives and property. The outcome of a rescue mission depends to a large extent on the responding units' ability to co-operate and the overall co-ordination of their efforts. This in turn makes it imponant to investigate how to support the decision makers in emergency situations.

  • 8.
    Rankin, Amy
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology.
    Field, Joris
    National Aerospace Laboratory (NLR), Amsterdam, Netherlands.
    Kovordanyi, Rita
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology.
    Morin, Magnus
    VSL Research Labs, Linköping, Sweden.
    Jenvald, Johan
    VSL Research Labs, Linköping, Sweden.
    Eriksson, Henrik
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology.
    Training Systems Design: Bridging The Gap Between User and Developers Using Storyboards2011In: Proceedings of the 29th Annual European Conference on Cognitive Ergonomics, 2011, p. 205-212Conference paper (Other academic)
    Abstract [en]

    Motivation -- Designing distributed training systems for crisis management (CM) requires an approach with the ability to address a great variety of needs and goals. Crisis responses involve multiple agents, each with different backgrounds, tasks, priorities, goals, responsibilities, organizations, equipment, and approaches. Identifying the different user training needs and translating these into user and functional requirement therefore poses great challenges.

    Research approach -- In this paper we present experiences of how to enable the collaboration between multiple stakeholders and partners when creating and adapting ideas throughout the design phase. The techniques have been used in a European project aimed at developing an interactive Virtual Reality (VR) environment for training crisis management.

    Findings/Design -- The focus of the paper is on the initial storyboard iterations and lo-fi prototypes, as this is a crucial stage for expressing ideas in a perceivable way without having to spend too much time and effort on creating detailed prototypes.

    Take away message -- Experiences using low-cost commercial software for creating storyboards are presented, as these provided the means to create, share, present, adapt and circulate ideas, facilitating the fusing of ideas, shared understanding and distributed working.

  • 9.
    Stjernberger, Johan
    et al.
    FOI.
    Eriksson, Henrik
    Linköping University, Department of Computer and Information Science, MDALAB - Human Computer Interfaces. Linköping University, The Institute of Technology.
    Rejnus, Lars
    FOI.
    Jenvald, Johan
    VSL Research Labs.
    Mobile emergency warning in initial incident phases2003In: Proceedings of CIMI-2003, 2003Conference paper (Other academic)
  • 10.
    Timpka, Toomas
    et al.
    Linköping University, Faculty of Health Sciences. Linköping University, Department of Department of Health and Society, Division of Preventive and Social Medicine and Public Health Science. Östergötlands Läns Landsting, Centre for Public Health Sciences, Centre for Public Health Sciences.
    Morin, Magnus
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, ASLAB - Application Systems Laboratory.
    Jenvald, Johan
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, ASLAB - Application Systems Laboratory.
    Gursky, Elin
    Eriksson, Henrik
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, MDALAB - Human Computer Interfaces.
    Dealing with ecological fallacy in preparations for influenza pandemics: Use of a flexible environment for adaptation of simulations to household structures in local contexts2007In: MedINFO 2007,2007, 2007Conference paper (Refereed)
    Abstract [en]

      

  • 11.
    Trnka, Jiri
    et al.
    Linköping University, Department of Computer and Information Science, GIS - Geographical Information Science Group. Linköping University, The Institute of Technology.
    Jenvald, Johan
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Role-Playing Exercise: A Real-Time Approach to Study Collaborative Command and Control2006In: International Journal of Intelligent Control and Systems, ISSN 0218-7965, Vol. 11, no 4, p. 218-228Article in journal (Refereed)
    Abstract [en]

    During emergency response, emergency management and its command andcontrol system are particularly challenged as the responding taskforce putscountermeasures in place intensively and dynamically. To respondeffectively these countermeasures are typically coordinated throughcollaborative work of commanding staff. Information seeking,communication, and data sharing are essential elements of this collaborativecommand and control work. The traditional research methods used incommand and control research do not always allow researchers to fullyinvestigate these elements of collaborative work. In this paper, we describethe role-playing exercise, a real-time approach combining role-playing gamesand emergency management exercises, for studying collaborative command and control, particularly during improvisation and adaptation work. We alsodescribe the practical application of the role-playing exercise approach in theALFA-05 research study. This is followed by a discussion on methodologicallessons learned from this study. This includes simulation realism and control,ecological and communication settings, and data collection. Our experiencesuggests that the role-playing exercise approach can be considered as afeasible method for research studies, where interaction and communicationof commanding staff are in focus.

1 - 11 of 11
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  • ieee
  • modern-language-association-8th-edition
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  • en-US
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