|
Christoph Aubrecht, Sérgio Freire, Josef Fröhlich, Beatrice Rath, & Klaus Steinnocher. (2011). Integrating the concepts of foresight and prediction for improved disaster risk management. 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: This discussion paper focuses on conceptualizing the ultimate goal in disaster management, i.e. reduction of future risks and impacts and explicitly highlights how actions taken in various phases of integrated disaster risk management influence vulnerability and eventually overall risk characteristics. First, the advancement of the disaster management concept evolving from a cyclic perspective to a spiral view is described and the various stages of disaster management including risk analysis, mitigation, and response are explained. In an attempt to improve and advance disaster risk management, next, the concepts of foresight and prediction are described and its major differences are highlighted. Finally, the basic framework of risk governance is considered for integrating foresight and prediction and thus lifting disaster management to the next level. Active and transparent communication and participation is seen as the key for successfully implementing risk governance.
|
|
|
John Edmonds, Louiqa Raschid, Hassan Sayyadi, & Shanchan Wu. (2010). Exploiting social media to provide humanitarian users with event search and recommendations. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Humanitarian decision makers rely on timely and accurate information for decision-making. Since satisfactory disaster response is key to building public trust and confidence, they need to monitor and track disaster related discourse to gauge public perception and to avert public relations disasters. Social media, e.g., the blogosphere, has empowered citizens to provide content and has increased information diversity. The challenge is to make sense of this diverse and noisy data and interpret results in context. For example, search results can be clustered around an event or occurrence at some geo-location and time. Personalization and recommendations can further filter content and focus on the most relevant and important data. We apply our research on event detection and recommendation to support event based search and apply it to a large blog collection (blog.spinn3r.com).
|
|
|
Daniel Hahn. (2007). Non-restrictive linking in wireless sensor networks for industrial risk 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. 605–609). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The OSIRIS project addresses the disaster management workflow in the phases of risk monitoring and crisis management. Risk monitoring allows the continuous observation of endangered areas combined with sensor deployment strategies. The crisis management focuses on particular events and the support by sensor networks. Four complementary live demonstrations will validate the OSIRIS approach. These demonstrations include water contamination, air pollution, south European forest fire, and industrial risk monitoring. This paper focuses on the latter scenario: the industrial risk monitoring. This scenario offers the special opportunity to demonstrate the relevance of OSIRIS by covering all the aspects of monitoring, preparation and response phases of both environmental risk and crisis management. The approach focuses on non-restrictive linking in a wireless sensor network in order to facilitate the addition and removal of nodes providing open interaction primitives allowing the comfortable integration, exclusion, and modification. A management layer with an event-triggered and service-based middleware is proposed. A live lab with real fire is illustrated.
|
|
|
Hannes Restel, Eridy Lukau, Sebastian Sterl, & Lars Gerhold. (2022). Detecting Covid-19 Relevant Situations using Privacy-by-Design based Mobile Experience Sampling. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 506–527). Tarbes, France.
Abstract: To observe psychosocial effects of the Covid-19 pandemic on the population, multiple retrospective studies have been performed in Germany. However, this approach may lead to response bias regarding affective and cognitive processes as it fails to capture situations as they occur (‘in situ’). Identifying those situations in daily life where individuals are emotionally and cognitively affected by Covid-19 can provide valuable insights for mobile experience sampling method studies (MESM) that evaluate participants’ affective and cognitive processes. This study presents an MESM solution (a self-developed smartphone app and server backend) to detect Covid-19 induced ‘in-situ frames’ which was successfully used in a long-term psychosocial study in Berlin (Germany) from November 2021 to January 2022. As highly sensitive personal data (e.g., emotional state, vaccination status and infection state, socio-demographics) have been collected, the solution places a strong emphasis on privacy, pseudo-anonymization, data-minimization, and security. To support long-time motivation for the participants, good usability and user experience containing gamification elements were also realized. The results indicate that Covid-19-related situations expressed by means of a high emotional risk perception could be identified even though participants located themselves in “rather Covid-19 free” private spaces.
|
|
|
Nick Hedley. (2012). Capturing communities' perceptions of risk through the eyes of their citizens: Using mobile VGI networks to map tsunami risk awareness. 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: This paper describes research in progress exploring the use of mobile device technology and citizen sensors, as tools for emergency managers and planners to quickly to gather and map citizen perceptions of risk in communities exposed to tsunami hazards. VAPoR is an agile, deployable system developed at the Spatial Interface Research Lab that does this. It is currently being field tested on the West Coast of Vancouver Island, British Columbia. This evaluation assesses these technologies and methods, and their potential to help emergency planners mitigate risk in coastal communities. © 2012 ISCRAM.
|
|
|
Jennings Anderson, Marina Kogan, Melissa Bica, Leysia Palen, Kenneth Anderson, Rebecca Morss, et al. (2016). Far Far Away in Far Rockaway: Responses to Risks and Impacts during Hurricane Sandy through First-Person Social Media Narratives. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: When Hurricane Sandy swept over the US eastern seaboard in October 2012, it was the most tweeted about event at the time. However, some of the most affected areas were underrepresented in the social media conversation about Sandy. Here, we examine the hurricane-related experiences and behaviors shared on Twitter by residents of Far Rockaway, a New York City neighborhood that is geographically and socioeconomically vulnerable to disasters, which was significantly affected by the storm. By carefully filtering the vast Twitter data, we focus on 41 Far Rockaway residents who offer rich personal accounts of their experience with Sandy. Analyzing their first-person narratives, we see risk perception and protective decision-making behavior in their data. We also find themes of invisibility and neglect when residents expressed feeling abandoned by the media, the city government, and the overall relief efforts in the aftermath of Sandy.
|
|
|
Johnny Douvinet. (2022). Evaluating the Public’s Reaction to Simulated Alerts on Mobile Phones in France: Scale Effects, and Challenges. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 847–862). Tarbes, France.
Abstract: In case of sudden and extreme life-threatening situation, the most efficient system fulfils the requirement of mobile phone emergency alerting information services. But how much information and what type of content must be used in a textual message, and how adapt this alert to a large audience and diversified contexts? This paper proposes to address this challenge, 1) by presenting results obtained in France during simulated “alerting days”, with sampling revealing the perception and understanding of SMS and CB by a non-specialized audience (161 respondents), and 2) by comparing findings obtained in different contexts (students and teaching staff in a university, crisis managers and stakeholders in an industrial context, citizens working near high-risky areas). Even if reactions to an alert are individual, similar patterns emerge, suggesting that standardized and non-random needs exist.
|
|
|
Klaus Kremer. (2018). Critical human factors in UI design:How calm technology can inform anticipatory interfaces for limited situational awareness. In Kristin Stock, & Deborah Bunker (Eds.), Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. (pp. 286–294). Albany, Auckland, New Zealand: Massey Univeristy.
Abstract: Contemporary information and wayfinding design often disregard the changing personal circumstances and mental state of the user. This paper explores concepts and methodologies in user interface (UI) and user experience (UX) design to increase comprehension and retention through the inclusion of human centered design principles and a focus on the participants' individual context, mental state and abilities. The paper focuses on human factors and comprehension in fast changing situations demanding a sudden high cognitive load from the affected. In a highly stressed condition, visual perception and situation awareness may be restricted due to the impact of sensory symptoms (panic, tunnel vision or limited motor skills), thus calling for a linear course of action to enable the user to concentrate at the task at hand. Many user interfaces (UI) are designed for a specific task, but are limited in function if used in a context contrary to its original intent. Paired with the real-time data collecting abilities of current mobile devices, the model of calm technology can offer new ways of implementing anticipatory and adaptive UI in applications. Calm technology is capable of seamlessly moving in and out of the periphery of the experience and only comes into focus when needed. It can be consciously included, but intentionally unnoticeable features of a design utilising contextual information to adapt its behaviour and aid in calming an agitated person. Considering and incorporating the concepts of calm technology as a second layer into every day applications can not only aid in the perception of the displayed information but also offer an advantage in timely decision making.
|
|
|
Lorscheidt, J., Wehbe, B., Cesar, D., Becker, T., & Vögele, T. (2023). Increasing diver safety for heavy underwater works by Sonar-to-Video Image Translation. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 166–176). Omaha, USA: University of Nebraska at Omaha.
Abstract: Supervision of technical dives is particularly important in emergency and disaster response operations to ensure the safety of divers in unexplored locations with uncertain conditions. Diver monitoring relies primarily on voice communication and a video stream that gives the operator a first-person view of the diver. However, in many cases underwater visibility can drop to just a few centimeters, leaving the diver only able to feel his way with his hands and the operator depended only on voice communication, making it very difficult for both of them to identify upcoming hazards. In the DeeperSense research project, we are attempting to reduce the limitations caused by poor underwater visibility by using a sonar in combination with an AI-based algorithm designed to translate the sonar signal into a visual image that is independent of the turbidity of the water and gives an overview of the situation where the eye can no longer see anything. Laboratory results show that visual information can be recovered from sonar data.
|
|
|
Marinus Maris, & Gregor Pavlin. (2006). Distributed perception networks for crisis management. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 376–381). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Situation assessment in crisis management applications can be supported by automated information fusion systems, such as Distributed Perception Networks. DPNs are self-organizing fusion systems that can infer hidden events through interpretation of huge amounts of heterogeneous and noisy observations. DPNs are a logical layer on top of existing communication, sensing, processing and data storage infrastructure. They can reliably and efficiently process information of various quality obtained from humans and sensors through the existing communication systems, such as mobile phone networks or internet. In addition, modularity of DPNs supports efficient design and maintenance of very complex fusion systems. In this paper, a fully functional prototype of a DPN system is presented that fuses information from gas sensors and human observations. The task of the system is to compute probability values for the hypothesis that a particular gas is present in the environment. It is discussed how such a system could be used for crisis management.
|
|
|
Maude Arru, Brice Mayag, & Elsa Negre. (2016). Early-Warning System Perception: a Study on Fire Safety. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Warnings can help prevent damage and harm if they are issued timely and provide information helping responders and population to adequately prepare for the disaster to come. Today, there are many indicator and sensor systems that are designed to reduce disaster risks, or issue early warnings. In this paper we analyze the perception that people have from security management systems and we propose an indicator to measure Early-Warning System perception for people-oriented decision support. To illustrate our approach, we present a study of the fire safety system in our University.
|
|
|
Miles Crawford, Wendy Saunders, Emma Hudson-Doyle, & David Johnston. (2018). End-user perceptions of natural hazard risk modeling across policy-making, land-use planning, and emergency management within New Zealand local government. In Kristin Stock, & Deborah Bunker (Eds.), Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. (pp. 550–560). Albany, Auckland, New Zealand: Massey Univeristy.
Abstract: While the development of risk modelling has focussed on improving model accuracy and modeller expertise, less consideration has been given to understanding how risk models are perceived and used by the end-user. In this think-piece, we explore how risk modelling is perceived and used by three different end-user functions for natural hazard risk management in New Zealand local government: policy-making, land-use planning, and emergency management. We find that risk modelling is: valued and used by policy-makers; less valued within land-use planning and not as widely used; and valued within emergency planning but not as widely used. We offer our thoughts as to why this is the case with reference to focus groups and qualitative interviews held with local government natural hazard risk end-users across the Wellington, Hawke's Bay and Gisborne regions of New Zealand. We conclude with recommendations for how risk modelling can be further developed to increase community resilience.
|
|
|
Thomas Münzberg, Marcus Wiens, & Frank Schultmann. (2014). A strategy evaluation framework based on dynamic vulnerability assessments. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 45–54). University Park, PA: The Pennsylvania State University.
Abstract: Assessing a system's vulnerability is a widely used method to estimate the effects of risks. In the past years, increasingly dynamic vulnerability assessments were developed to display changes in vulnerability over time (e.g. in climate change, coastal vulnerability, and flood management). This implies that the dynamic influences of management strategies on vulnerability need to be considered in the selection and implementation of strategies. For this purpose, we present a strategy evaluation framework which is based on dynamic vulnerability assessments. The key contribution reported in this paper is an evaluation framework that considers how well strategies achieve a predefined target level of protection over time. Protection Target Levels are predefined objectives. The framework proposed is inspired by Goal Programming methods and allows distinguishing the relevance of time-dependent achievements by weights. This enables decision-makers to evaluate the overall performance of strategies, to test strategies, and to compare the outcome of strategies.
|
|
|
Gertraud Peinel, Thomas Rose, & Elmar Berger. (2007). Process-oriented risk management for smaller municipalities. 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. 405–410). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Project ERMA (Electronic Risk Management Architecture) develops a platform for risk managers that can be cus-tomised to individual risk management scenarios in order to meet the needs of small and medium-sized municipali-ties. Due to their limited resources, smaller boroughs call for flexible and intelligent platforms that can be tailored to a set of risk management scenarios that might range from natural disasters to man-made hazards. This paper will promote a process-oriented stance for supporting emergency management operations. The scope of services ranges from decision support via key-indicators with attached process management system up-to alarming services that incorporate citizen relationship management services to keep the citizen well informed and use him for the capture of additional information.
|
|
|
Linda Plotnick, Starr Roxanne Hiltz, & Matthew Burns. (2012). For whom the siren sounds: Public perceptions of outdoor warning sirens in northeast Alabama. 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: In tornado-prone Alabama, outdoor emergency sirens are used as a major component of the Emergency Alert and Notification System. However there have been no studies to date of the effectiveness of these sirens in Calhoun County. In April 2011 a major tornado swept through this area of northeast Alabama, leaving in its wake over 300 fatalities and massive destruction. This preliminary study examines public perceptions and reactions to the sirens for notification of tornadoes. Faculty and students of a mid-sized university in Calhoun County, Alabama were surveyed before and after the devastating 2011 tornado. Although the respondents find the sirens helpful, they have difficulty understanding the tones and spoken messages emitted by the sirens. Concerns about tornadoes did increase slightly after the 2011 tornado. Those who did experience an increase in concern were likely to change their behavior in preparations and response to tornadoes. © 2012 ISCRAM.
|
|
|
Sanfilippo, F., & Rañó, I. (2023). Mimicking the Sense of Smell of Search and Rescue (SAR) Dogs: a Bio-inspired Steering Framework for Quadruped Robots. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 892–901). Omaha, USA: University of Nebraska at Omaha.
Abstract: Due to their sense of smell and ability to explore areas for missing people, dogs are valuable for search and rescue (SAR). Canines can discover humans under water, under snow, and even beneath crumbling structures because they can smell human scent. Building unmanned autonomous quadruped robots with canine agility is an attractive step to fully replicate the capabilities of dogs. Robots with legs are already capable of mimicking some of the physical traits of dogs, such as the capacity to traverse rough terrain. However, they would need to replicate also the level of sensory perception of a dog to successfully perform SAR operations. To achieve this, a navigation strategy that uses a direct sensor-motor coupling by following the principles of the Braitenberg vehicles is adopted in this work. This paper represents one of the first steps towards the connection of bio-inspired sensor-based steering mechanisms and bio-inspired locomotion for quadruped robots.
|
|
|
André Simões, Armanda Rodrigues, Patricia Pires, & Luis Sá. (2011). Evaluating emergency scenarios using historic data: Flood management. 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: The evaluation of an emergency scenario is often based on the use of simulation models. The specificity of these models involves the need for a complex evaluation of the problem domain, including the physical conditions behind the considered threat. Based on emergency occurrences data, provided by the Portuguese National Civil Protection Authority, we are currently developing a methodology for evaluating a real situation, based on past occurrences. The aim is to develop a platform that will enable the evaluation of a risk scenario based on existing civil protection data. The methodology under development should enable the evaluation of different scenarios based on the collected available data. This will be achieved thanks to the facilitated configuration of several aspects, such as the geographical region and relevant properties of the considered threat. In this paper, we describe the methodology development process and the current state of the platform for risk evaluation.
|
|
|
Teun Terpstra, & Hanneke Vreugdenhil. (2011). Filling in the blanks: Constructing effective flood warning messages using the Flood Warning Communicator (FWC). 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: This paper reports the progress that is being made in developing a software tool (the Flood Warning Communicator, FWC) that helps communication professionals constructing effective flood-warning messages. The program provides authorities with a warning message that contains open spaces where event specific information can be inserted. The program uses a database containing (parts of) phrases. Based on the specific situation, a communication professional receives the most suitable standard phrase by clicking on information buttons in a user interface. Together, the phrases form the warning message that sometimes requires minor adjustments such that it suits the specific circumstances. FWC is a well working prototype that allows constructing messages for web sites and short text messages (sms). Research is needed to test and validate these warning messages. In addition, cooperation with public authorities is necessary to make the program suitable for local circumstances (e.g., safety regions and municipalities).
|
|
|
Thomas J. Huggins, Wenbo Zhang, & Eva Yang. (2023). Evaluating Flood-Related Decision-Making and the Role of Information Technologies. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 45–55). Palmerston North, New Zealand: Massey Unversity.
Abstract: The proposed research consists of an innovative research design and piloting to compare traditional and contemporary approaches to loss-related decisions, concerning flooding risk in particular. By developing and implementing the integration of multiple methods, the proposed research aims to provide detailed and compelling evidence of how disaster-related decisions can be evaluated using an out-of-frame (capacity) and out-of-sample (occurrence) criterion, i.e. instead of taking a more reductive approach to real world problems. Together with other research being conducted around the world, the current initiative will address the contemporary scientific problem of whether traditionally axiomatic or ecological rationality should be used for evaluating disaster-related decisions. Where ecological rationality is found to be more effective, the same research will inform how ecologically rational approaches to flood risk can be improved through promoting particular areas of an information display or interface under particular conditions.
|
|
|
Thomas Kox. (2015). Criteria affecting people?s decision to take protective measures during winter storm XAVER on 5 December 2013. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: This paper discusses the impact of different dimensions of risk perception on people?s decision to take protective measures against natural hazards. Initial basis of the analysis was the winter storm XAVER which affected huge parts of Northern Europe including Berlin, Germany on 5 December 2013. Preliminary results of a representative online survey within the Berlin population show that affective variables such as fear of severe weather and confidence in weather forecasts showed a significant effect on people?s decision to take protective action. Contrary, high experience of natural hazards did not necessarily lead to action.
|
|
|
Marcel Van Berlo, Richelle Van Rijk, & Eric F. T. Buiël. (2005). A PC-based virtual environment for training team decision-making in high-risk situations. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 195–200). Brussels: Royal Flemish Academy of Belgium.
Abstract: Live team training of firefighters has several disadvantages. Firstly, it is costly because many team members and training staff are involved. Secondly, not all team members have the same competency level, and some individuals may just not be ready to train in a team context. Thirdly, live training in high-risk situations is difficult and dangerous. Consequently, critical situations can not be trained adequately. Following a scenario-based and a rapid prototyping approach, we are designing and developing a pc-based virtual training environment to train individual firefighters in making decisions in a team context operating in high-risk situations. This individual training program can better prepare the firefighters for live training, enhancing the effectiveness and efficiency of these team-training exercises. In this paper we describe the training-method, we outline how this is technologically implemented and discuss how we are planning to test the prototype.
|
|
|
Bartel A. Van De Walle, Ronald Spanjers, & Dirk De Wit. (2006). Stakeholder perceptions and standards for information security risks : A case study at a dutch health care organization. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 513–527). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: With the increased use of electronic patient files in Health Care Organizations (HCOs), addressing the risks related to the storage and use of patient information has become increasingly important to avoid intentional or unintentional disclosure, damage to or abuse of patients' personal health records. This has lead governments from various countries to introduce and impose information security standards for HCOs. The Dutch government introduced the NEN 7510 national information security standard; a standard derived from the international ISO 17799 norm. Preceding the implementation phase of NEN 7510 standard at a Dutch HCO, we conducted a field study to identify the information security risks as perceived by the main stakeholder groups in the HCO. We present the differences in the perceived information security risks and threats by end users, management and suppliers, and the degree to which these identified risks will be addressed by the implementation of the NEN 7510 standard.
|
|
|
Martin Voshell, & Stijn Oomes. (2006). Coordinating (Shared) perspectives in robot assisted search & rescue. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 188–196). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: From high fidelity field exercises to disaster response deployments, search and rescue robots are being readily integrated into rescue operations. Previous research has proposed that for such new technology to be successful in an operation the organization architecture needs to support the coordination of shared perspectives between the human team members and the robotic platforms. For this, the robot platforms need to be effective team players in the field of practice. Based on this conceptual model, this paper introduces a novel software interface utilizing virtual position and orientation indicators to alleviate perceptual ambiguities and navigation problems experienced by robot handlers and problem holders. By actively orchestrating and sharing these indicators between handler and operator displays, the interface caters to user expertise and to the natural competency of the human perceptual system. These probes provide a basic tool for aiding robot navigation and way-finding fundamental to effective team coordination and communication in urban search and rescue missions.
|
|
|
Wang, D. (2023). Public Cognition and Perception on Social Media in Crisis. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 1081–1082). Omaha, USA: University of Nebraska at Omaha.
Abstract: Microblogging platforms have been increasingly used in crisis, facilitating more participatory communication between official response channels and affected communities. Despite the potential benefits, research has shown that disaster response organizations could not effectively utilize social media data due to data deluge (Knox 2022). To better understand the information needed for disaster response, we turn to the National Incident Management System Guidance for public information officers (PIOs) (NIMS Basic Guidance for PIOs 2020), the primary spokesperson for emergency management organizations. The guidance indicates that PIOs use social media for two major purposes, supporting their operational needs and gauging public perception of risk and incident response. To support the operational needs, the crisis informatics literature has heavily focused on information types supporting situational awareness, including serviceable, eyewitness or actionable information. However, the information representing public perception, such as people’s cognitive and perceptual processes in response to incidents, has been less addressed at scale. To bridge the gap between quantitative study in crisis informatics and information representing cognitive and perceptual processes and better support the task of PIOs, I focus on the study of people’s cognitive and perceptual processes on social media for my research. Cognitive and perceptual processes refer to the way that people pay attention to or process environmental inputs, including the mental activities of acquisition, processing or evaluation of environmental cues, social cues, and warnings. These processes reveal people’s perception of- and decision-making in response to potential threats. With this focus, I seek to answer the following research question: How could people’s cognitive and perceptual processes be inferred from their social media activities in crisis to benefit stakeholders in incident response? My interest in tracing this overall theme through a varied range of sub-tasks produces three more specific research questions: RQ1. How can information exposure and attention be operationalized to highlight cognitive and perceptual processes? RQ2. How do people’s perception of risk communications from stakeholders vary in crisis? RQ3. How could a principled and scalable pipeline be designed to identify people’s cognitive and affective perceptions on Twitter? I took cues from the Protective Action Decision Model (Lindell and Perry 2012) and leveraged baselines in the literature to address these research questions. To address the first research question, I proposed a metric that conceptualized and operationalized the predecision process. The proposed metric was incorporated into a pipeline and applied to two real-word events to recommend messages that represent the shift of collective attention of those locally affected with a specialized focus on cognitive and perceptual processes. To address the second research question, I went beyond the perception of risks to include perceptions of risk communications by stakeholders. I performed an empirical study of the relation between risk communications by stakeholders and different kinds of public perceptions (Lindell and Perry 2012). To address the third research question, I proposed a future work to provide benchmark coding schemes, datasets and models to quantitatively identify information representing cognitive and perceptual processes. I will leverage existing benchmark datasets in the literature (Olteanu et al. 2014; Imran et al. 2016; Alam et al. 2018; Zahra et al. 2020; Rudra et al. 2017; Mazloom et al. 2018; Purohit et al. 2018) and coding schemes in qualitative studies (Trumbo et al. 2016; Demuth et al. 2018) and create benchmark classification models.
|
|
|
Kim Weyns, & Martin Höst. (2013). Case study on risk analysis for critical systems with reliability block diagrams. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 693–702). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: This paper presents a practical risk analysis method for critical, large-scale IT systems in an organisation. The method is based on reliability block diagram modelling and was adapted to fit the requirements of governmental organisations and to reduce the effort required to capture complex failure behaviour. Through the use of different failure categories the risk analysis can be simplified, the input data becomes easier to estimate and the results are easier to use in an organisational risk and vulnerability analysis. The paper first explicitly describes the different steps of the method and then presents a case study in which the method was applied and evaluated in a real-life setting. The method is meant to help an organisation to communicate internally about the reliability of their critical IT systems and to prioritise proposed improvements to this reliability.
|
|