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Author | Rego Granlund; Helena Granlund | ||||
Title | GPS impact on performance, response time and communication – A review of three studies | Type | Conference Article | ||
Year | 2011 | Publication | 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 | Abbreviated Journal | ISCRAM 2011 |
Volume | Issue | Pages | |||
Keywords | Artificial intelligence; Decision making; Decision support systems; Global positioning system; Information systems; Tracking (position); Command posts; Controlled experiment; Crisis management; Decision makers; Decision supports; Service personnel; University students; Work performance; Human resource management | ||||
Abstract | This paper describes the basic work performance analysis from three research projects with a goal to investigate the impact of a decision support system that presents global positioning system (GPS) information to the decision makers in crisis management organizations. The goal was to compare the performance between teams that had access to GPS information in the command post with teams that had access only to paper maps. The method used was controlled experiments with the C3Fire micro-world. A total of 304 participants, forming 48 teams, participated in the three studies. The participants came from three different groups, university students, municipal crisis management organizations and rescue service personnel. The result shows that the performance and communication change depending on if the teams used GPS support or paper maps. The result also shows that the participants' background and perceived complexity of the task have an impact on the results. | ||||
Address | Santa Anna IT Research Institute, Swedish Defence Research Agency, Linköping, Sweden | ||||
Corporate Author | Thesis | ||||
Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Lisbon | Editor | M.A. Santos, L. Sousa, E. Portela |
Language | English | Summary Language | English | Original Title | |
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ISSN | 2411-3387 | ISBN | 9789724922478 | Medium | |
Track | Advanced Research Methods and Unconventional Results | Expedition | Conference | 8th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 543 | |||
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Author | Erkki Kurkinen; Helen T. Sullivan; Markku Häkkinen; Markku Lauttamus | ||||
Title | Optimizing mobile social media interfaces for rapid internal communication by emergency services | Type | Conference Article | ||
Year | 2010 | Publication | ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings | Abbreviated Journal | ISCRAM 2010 |
Volume | Issue | Pages | |||
Keywords | Emergency services; Human computer interaction; Information systems; Law enforcement; Social networking (online); Tracking (position); User interfaces; Geolocations; Interaction methods; Internal communications; Mobile social medias; Operational efficiencies; Situational awareness; Social media; Social media concepts; Mobile devices | ||||
Abstract | Social media tools are seeing use in crisis situations. Authorities have recognized the value of such tools and are beginning to use services such as Facebook and Twitter to disseminate official information. However, the use of the social media concept as an internal, operational tool by emergency services is in its early stages. Current social media tools for mobile devices are of potential value, yet security concerns can render such systems unsuitable for operational use, and the user interface can hinder operational efficiency due to the inheritance of a text based model for input and display. The research to be described is examining interaction methods that may improve the efficiency and usability of mobile device-based social media for operational use by police services. A Twitter like model for police activity reports can provide a means for enhanced situational awareness for police command authorities, and for individual officers or patrol units engaged in the “professional” media interchanges. The proposed model, SUMO, is based on a hybrid symbolic and text interface to rapidly enter status, integrated with geolocation, and sensor-based data to automatically capture key information, and thereby minimizing the amount effort required create a complete status update. | ||||
Address | University of Jyväskylä, Finland; Rider University, United States | ||||
Corporate Author | Thesis | ||||
Publisher | Information Systems for Crisis Response and Management, ISCRAM | Place of Publication | Seattle, WA | Editor | S. French, B. Tomaszewski, C. Zobel |
Language | English | Summary Language | English | Original Title | |
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Series Volume | Series Issue | Edition | |||
ISSN | 2411-3387 | ISBN | Medium | ||
Track | Human-Computer Interaction | Expedition | Conference | 7th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 665 | |||
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Author | Jaziar Radianti; Julie Dugdale; Jose J. Gonzalez; Ole-Christoffer Granmo | ||||
Title | Smartphone sensing platform for emergency management | Type | Conference Article | ||
Year | 2014 | Publication | ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2014 |
Volume | Issue | Pages | 379-383 | ||
Keywords | Civil defense; Disasters; Hazards; Information systems; Intelligent systems; Learning systems; Mobile phones; Pattern recognition; Risk management; Sensors; Signal encoding; Emergency management; Human Tracking; Human-centered computing; Mobile sensing; Publish-subscribe; Smartphones | ||||
Abstract | The increasingly sophisticated sensors supported by modern smartphones open up novel research opportunities, such as mobile phone sensing. One of the most challenging of these research areas is context-aware and activity recognition. The Smart Rescue project takes advantage of smartphone sensing, processing and communication capabilities to monitor hazards and track people in a disaster. The goal is to help crisis managers and members of the public in early hazard detection, prediction, and in devising risk-minimizing evacuation plans when disaster strikes. In this paper we suggest a novel smartphone-based communication framework. It uses specific machine learning techniques that intelligently process sensor readings into useful information for the crisis responders. Core to the framework is a content-based publish-subscribe mechanism that allows flexible sharing of sensor data and computation results. We also evaluate a preliminary implementation of the platform, involving a smartphone app that reads and shares mobile phone sensor data for activity recognition. | ||||
Address | CIEM, University of Agder, Norway; University Pierre Mendès France, Grenoble, France | ||||
Corporate Author | Thesis | ||||
Publisher | The Pennsylvania State University | Place of Publication | University Park, PA | Editor | S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
Language | English | Summary Language | English | Original Title | |
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ISSN | 2411-3387 | ISBN | 9780692211946 | Medium | |
Track | Intelligent Systems | Expedition | Conference | 11th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 864 | |||
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Author | Leon J.M. Rothkrantz | ||||
Title | Crisis management using multiple camera surveillance systems | Type | Conference Article | ||
Year | 2013 | Publication | ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2013 |
Volume | Issue | Pages | 617-626 | ||
Keywords | Disasters; Information systems; Object recognition; Crisis management; License plate recognition; Multiple cameras; Semi-automatics; Surveillance systems; Tracking algorithm; Video surveillance; Video surveillance systems; Security systems | ||||
Abstract | During recent disasters such as tsunami, flooding, hurricanes, nuclear disaster, earthquake people have to leave their living areas for their own safety. But it proves that some people are not informed about the evacuation, or are not willing or able to leave or don't know how to leave the hazardous areas. The topic of the paper is how to adapt current video surveillance systems along highway and streets to semi-automatic surveillance systems. When a suspicious event is detected a human operator in the control room has to be alerted to take appropriate actions. The architecture of the system and main modules are presented in the paper. Different algorithms to detect localize and track people are published by the authors elsewhere but are summarized in the current paper. The system has been tested in a real life environment and the test results are presented in the paper. | ||||
Address | Delft University of Technology, Netherlands Defense Academy, Netherlands | ||||
Corporate Author | Thesis | ||||
Publisher | Karlsruher Institut fur Technologie | Place of Publication | KIT; Baden-Baden | Editor | T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
Language | English | Summary Language | English | Original Title | |
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ISSN | 2411-3387 | ISBN | 9783923704804 | Medium | |
Track | Intelligent Systems | Expedition | Conference | 10th International ISCRAM Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 892 | |||
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Author | Øyvind Hanssen | ||||
Title | Position Tracking in Voluntary Search and Rescue Operations | Type | Conference Article | ||
Year | 2015 | Publication | ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2015 |
Volume | Issue | Pages | |||
Keywords | GPS Tracking; Operational Picture; SAR; volunteers | ||||
Abstract | This paper describes how enthusiasts from the radio-amateur and red-cross communities developed and applied position tracking to search and rescue services in Norway. This was based on the APRS standard which has been used by radio-amateurs for some time. The document describes how radio-amateurs designed a tracking device which was robust and simple to use along with a web-based online service, a map server, to display positions along with other geographical information on electronic maps. The software for the tracker and the map server is free and open source. This system has been used in a number of search and rescue missions in Norway since 2009, to support decisions making in the command and control centre. |
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Corporate Author | Thesis | ||||
Publisher | University of Agder (UiA) | Place of Publication | Kristiansand, Norway | Editor | L. Palen; M. Buscher; T. Comes; A. Hughes |
Language | English | Summary Language | English | Original Title | |
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ISSN | 2411-3387 | ISBN | 9788271177881 | Medium | |
Track | Geospatial Data and Geographical Information Science | Expedition | Conference | ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 1211 | |||
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Author | Vimala Nunavath; Jaziar Radianti; Tina Comes; Andreas Prinz | ||||
Title | Visualization of Information Flows and Exchanged Information: Evidence from an indoor fire game | Type | Conference Article | ||
Year | 2015 | Publication | ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | ISCRAM 2015 |
Volume | Issue | Pages | |||
Keywords | Emergency Management; information flow; information tracking; Situational Awareness; visualization | ||||
Abstract | Understanding information flows is essential to improve coordination information systems. Aims of such systems are typically reducing information overload and improving situational awareness. Yet, there is a lack of intuitive and easily understandable tools that help to structure and visualize the ad hoc information flows that occur during search and rescue operations. In this paper, we present the concept of such an analysis, and present findings from an indoor serious fire game. For this game, we describe the interactions of Emergency Responders (ER), including individual information (over-)load, and descriptions of content of communications. This approach therefore provides an effective way to learn about active teams, information flows, exchanged information, and overload. | ||||
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Corporate Author | Thesis | ||||
Publisher | University of Agder (UiA) | Place of Publication | Kristiansand, Norway | Editor | L. Palen; M. Buscher; T. Comes; A. Hughes |
Language | English | Summary Language | English | Original Title | |
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ISSN | 2411-3387 | ISBN | 9788271177881 | Medium | |
Track | Human Centred Design and Evaluation | Expedition | Conference | ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | yes | |||
Call Number | Serial | 1221 | |||
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Author | Fabio Ciravegna; Jerry Gao; Chris Ingram; Neil Ireson; Vita Lanfranchi; Humasak Simanjuntak | ||||
Title | Mapping Mobility to Support Crisis Management | Type | Conference Article | ||
Year | 2018 | Publication | ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2018 |
Volume | Issue | Pages | 305-316 | ||
Keywords | GIS, mapping, mobility tracking, large scale data, visual analytics. | ||||
Abstract | In this paper we describe a method and an infrastructure for rapid mapping of mobility patterns, based on a combination of a mobile mobility tracker, a large-scale data collection infrastructure, and a data and visual analytics tool. The combination of the three enables mapping everyday mobility patterns for decision makers, e.g. city council, motorways authorities, etc. and can support emergency responders in improving their preparedness and the recovery in the aftermath of a crisis. The technology is currently employed over very large scale: (i) in England it is used by a public body to incentivise physical mobility (400,000 app downloads and hundreds of millions of data point since September 2017); (ii) in Sheffield UK, through the MoveMore initiative, tracking active mobility of users (5,000 downloads); and (iii) the European project SETA, to track multimodal mobility patterns in three cities (Birmingham, Santander and Turin). | ||||
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Corporate Author | Thesis | ||||
Publisher | Rochester Institute of Technology | Place of Publication | Rochester, NY (USA) | Editor | Kees Boersma; Brian Tomaszeski |
Language | English | Summary Language | English | Original Title | |
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ISSN | 2411-3387 | ISBN | 978-0-692-12760-5 | Medium | |
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management | |
Notes | Approved | no | |||
Call Number | Serial | 2109 | |||
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Author | Asmelash Teka Hadgu; Sallam Abualhaija; Claudia Niederée | ||||
Title | Real-time Adaptive Crawler for Tracking Unfolding Events on Twitter | Type | Conference Article | ||
Year | 2019 | Publication | Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management | Abbreviated Journal | Iscram 2019 |
Volume | Issue | Pages | |||
Keywords | social search, real-time adaptive search, event tracking, crsis communication | ||||
Abstract | When a major event such as a crisis situation occurs, people post messages on social media sites such as Twitter, in order to exchange information or to share emotions. These posts can provide useful information to raise situation awareness and support decision making, e.g., by aid organizations. In this paper, we propose a novel method for social media crawling, which exploits a Bayesian inference framework to keep track of keyword changes over time and uses a counter-stream to gauge the inclusion of noise and irrelevant information. In addition, we present a framework to evaluate real-time adaptive social search algorithms in a reproducible manner, which relies on a semi-automated approach for ground-truth construction. We show that our method outperforms previous methods for very large scale events. |
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Address | L3S Research Center, Leibniz universität Hannover, Germany;Interdisciplinary Centre for Security, Reliability and Trust | ||||
Corporate Author | Thesis | ||||
Publisher | Iscram | Place of Publication | Valencia, Spain | Editor | Franco, Z.; González, J.J.; Canós, J.H. |
Language | English | Summary Language | English | Original Title | |
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ISSN | 2411-3387 | ISBN | 978-84-09-10498-7 | Medium | |
Track | T8- Social Media in Crises and Conflicts | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
Notes | Approved | no | |||
Call Number | Serial | 1985 | |||
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Author | Tobias Andersson Granberg; Carl-Oscar Jonson; Erik Prytz; Krisjanis Steins; Martin Waldemarsson | ||||
Title | Sensor Requirements for Logistics Analysis of Emergency Incident Sites | Type | Conference Article | ||
Year | 2020 | Publication | ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2020 |
Volume | Issue | Pages | 952-960 | ||
Keywords | Sensors; Emergency Response Planning; Tracking; Team Interaction | ||||
Abstract | Using sensors to collect data at emergency incident sites can facilitate analysis of the logistic operations. This can be used to improve planning and preparedness for new operations. Furthermore, real-time information from the sensors can serve as operational decision support. In this work in progress, we investigate the requirements on the sensors, and on the sensor data, to facilitate such an analysis. Through observations of exercises, the potential of using sensors for data collection is explored, and the requirements are considered. The results show that the potential benefits are significant, especially for tracking patients, and understanding the interaction between the response actors. However, the sensors need to be quite advanced in order to capture the necessary data. | ||||
Address | Linköping University, Department of Science and Technology; Linköping University, Center for Disaster Medicine and Traumatology, and Department of Biomedical and Clinical Sciences; Linköping University, Department of Computer and Information Science; Linköping University, Department of Science and Technology; Linköping University, Department of Science and Technology | ||||
Corporate Author | Thesis | ||||
Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
Language | English | Summary Language | English | Original Title | |
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Series Volume | Series Issue | Edition | |||
ISSN | 978-1-949373-27-85 | ISBN | 2411-3471 | Medium | |
Track | Technologies for First Responders | Expedition | Conference | 17th International Conference on Information Systems for Crisis Response and Management | |
Notes | tobias.andersson.granberg@liu.se | Approved | no | ||
Call Number | Serial | 2286 | |||
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Author | Øyvind Hanssen | ||||
Title | Improving Trails from GPS Trackers with Unreliable and Limited Communication Channels | Type | Conference Article | ||
Year | 2021 | Publication | ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2021 |
Volume | Issue | Pages | 489-502 | ||
Keywords | GPS tracking, trails, Search and Rescue, APRS | ||||
Abstract | In this document we explore position tracking in the context of land based search and rescue operations, where we also may have a limited and unreliable communication channel. This is the case when using APRS (amateur radio tracking) in voluntary SAR services in Norway. We have looked more closely into trails of movements and how to plot these on the map to present informative real-time pictures to the incident commanders. A simple scheme is proposed to improve trails by piggybacking positions at the end of regular transmissions.Experiments show that a significant amount of positions are recovered. In some cases this can recover useful information, though it depends on the actual situation. | ||||
Address | Nord University | ||||
Corporate Author | Thesis | ||||
Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language | English | Summary Language | English | Original Title | |
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Series Volume | Series Issue | Edition | |||
ISSN | 978-1-949373-61-5 | ISBN | Medium | ||
Track | Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) | Expedition | Conference | 18th International Conference on Information Systems for Crisis Response and Management | |
Notes | ohanssen@acm.org | Approved | no | ||
Call Number | ISCRAM @ idladmin @ | Serial | 2350 | ||
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