Records |
Author |
Suvodeep Mazumdar; Neil Ireson; Fabio Ciravegna |
Title |
Decision Graphs: Managing Decisions for Emergencies |
Type |
Conference Article |
Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
Volume |
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Issue |
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Pages |
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Keywords |
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Abstract |
Emergencies are highly complex situations that require careful consideration of information collected from a variety of sources, by a variety of individuals and agencies. Good situation awareness provides the basis for a highly effective decision-making process requiring large volumes of real time information. Processing this is a highly complex task, and the dynamic nature of emergencies introduces further challenges. Over the years, several initiatives have attempted to address this complexity by proposing a variety of solutions that have contributed to a growing field of research. While progress toward decision-making support has been significant, the process of managing decisions has received less attention. To learn from decisions, there needs to be a process of collecting, curating and analyzing decision-making itself. Information being collected via a large number of resources needs to be formalized and interpreted by the decision maker, who in turn combines the information collected with their own knowledge and experience to make critical, and often life-saving decisions. Many of the decisions need to be taken instantaneously, while some need careful consultation and consideration, in collaboration with experts only once good situation awareness is achieved. This process of taking decisions based on evidence and personal experience is often lost, mostly due to lack of appropriate archiving mechanisms (e.g. not digitizing paper-based decisions or recording informal decisions). Therefore post-event analysis and auditing activities can lose track of how decisions were made, their associated evidences and rationale. Recording decisions in real-time, as they are taken, can provide a step change in the way decision support systems can aid future events or post-event analyses. We address this aspect of decision support by proposing a real-time decision capture and monitoring approach, Decision Graphs. At the core of Decision Graphs resides a decision management framework, employing semantic web techniques to organise decisions, as and when they are taken. While Semantic Web approaches have been employed in the past in Decision-Making for Emergency Response, management of decisions using Semantic Technologies has been largely limited. Lightweight decision loggers are deployed in a variety of ways ? mobile applications available for all types of mobile devices, web browser-based plugins, and a dedicated web site. The decision loggers capture decisions and all related evidence and rationale from the decision maker, and make them available to the decision management framework. Following an event, a decision maker can then retrieve all decisions via a web-based solution. In this poster, we first present requirements gathered from interviews with a variety of stakeholders. We then address this need and propose a decision management framework that employs a variety of pervasive lightweight decision loggers and semantic web technologies for enriching and organizing decisions. Finally, we present our visualisation mechanisms to help look up events and decisions, during follow-up post event analyses activities. |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
Medium |
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Track |
Poster Session |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
1426 |
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Author |
Vitaveska Lanfranchi; Suvodeep Mazumdar; Fabio Ciravegna |
Title |
Evaluating the real usability of a C2 system – Short and controlled vs long and real |
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 |
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Issue |
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Pages |
62-66 |
Keywords |
Command and control systems; Information systems; Critical systems; Emergency response; Long-term usability; Realistic evaluations; Short-term simulation; Usability evaluation; Usability measurements; User experience; Usability engineering |
Abstract |
Command and Control systems (C2) need to be highly usable to efficiently support communication during crisis situations. Short-term usability evaluations are typically carried out because of the cost and time advantage. However, even the most realistic evaluations (simulations) do not reflect the real issues encountered “in the wild”, such as the operators' stress or the multiple foci of attention. In this paper we carry out an experiment to measure the changes in usability of a C2 system between a short-term simulation and a long-term “in the wild” evaluation. We demonstrate that short-term usability measurements can differ significantly from long-term “in the wild” ones. Our results indicate that a different approach to usability assessment is needed when dealing with critical systems, that takes into account the temporal horizon and assesses the system in real-life conditions. |
Address |
OAK Group, University of Sheffield, United Kingdom |
Corporate Author |
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Thesis |
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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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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
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Track |
Coordination and Collaboration |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
679 |
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Author |
Suvodeep Mazumdar; Stuart N. Wrigley; Neil Ireson; Fabio Ciravegna |
Title |
Geo-fence driven crowd-sourcing for Emergencies |
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 |
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Issue |
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Pages |
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Keywords |
crowd sourcing; Emergency Management; Geofence; situation awareness |
Abstract |
For some emergency situations an effective response can be reliant on sensor data (e.g. river level, traffic flow, weather conditions) to provide situation awareness, in order to help authorities make informed decisions. Gathering data in a traditional approach, i.e. using precise physical sensors, is a highly expensive task, involving procurement, installation and maintenance of a number of sensors. As a result, the coverage of sensors is limited and only the regions deemed most important by authorities are monitored. However, regions currently not being monitored can have an urgent need to be sensed depending on emergencies or situations. We present a high-level overview of the Locaware system, which employs a flexible geofencing approach to enable crowdsourcing by requesting citizens and volunteers to help authorities formulate a greater situation awareness of a region under consideration. While the Locaware system is motivated for water monitoring, our approach can be applied in other contexts. |
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Corporate Author |
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Thesis |
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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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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9788271177881 |
Medium |
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Track |
Community Engagement |
Expedition |
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Conference |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
yes |
Call Number |
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Serial |
1273 |
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Author |
Fabio Ciravegna; Suvodeep Mazumdar; Neil Ireson; Peter Cudd |
Title |
Seeing through the Eyes of the Citizens during Emergencies |
Type |
Conference Article |
Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
Volume |
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Issue |
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Pages |
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Keywords |
Mobile Camera; Emergency Response; Control Room Technologies |
Abstract |
Availability and access to information is critical for providing a highly effective response to an ongoing event ? however, often information reported by citizens over the phone may be unclear, inaccurate, biased or subjective, based on the context of the reporter. This can often lead to inadequate response to an emergency, which can in turn result in loss of property or worse, lives. On the other hand, excessive response to an emergency can also result in a highly expensive exercise. Our solution to address this problem is to make the citizen act as a camera for the control room by exploiting the user?s mobile camera. The system is designed to provide a live view of the citizen?s immediate surroundings, while control room personnel can provide instructions. In this paper, we introduce the system and share initial insights from a focus group evaluation conducted within a separate but closely related domain. |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
Medium |
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Track |
Command and Control Studies |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
1387 |
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Author |
Ahmed Alnuhayt; Suvodeep Mazumdar; Vitaveska Lanfranchi; Frank Hopfgartner |
Title |
Understanding Reactions to Misinformation – A Covid-19 Perspective |
Type |
Conference Article |
Year |
2022 |
Publication |
ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2022 |
Volume |
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Issue |
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Pages |
687-700 |
Keywords |
Misinformation; social reactions; twitter; people; COVID-19 |
Abstract |
The increasing use of social media as an information source brings further challenges – social media platforms can be an excellent medium for disseminating public awareness and critical information, that can be shared across large populations. However, misinformation in social media can have immense implications on public health, risking the effectiveness of health interventions as well as lives. This has been particularly true in the case of COVID-19 pandemic, with a range of misinformation, conspiracy theories and propaganda being spread across social channels. In our study, through a questionnaire survey, we set out to understand how members of the public interact with different sources when looking for information on COVID-19. We explored how participants react when they encounter information they believe to be misinformation. Through a set of three behaviour tasks, synthetic misinformation posts were provided to the participants who chose how they would react to them. In this work in progress study, we present initial findings and insights into our analysis of the data collected. We highlight what are the most common reactions to misinformation and also how these reactions are different based on the type of misinformation. |
Address |
Information School University of Sheffield; Information School University of Sheffield; Computer Science University of Sheffield; Information School University of Sheffield |
Corporate Author |
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Thesis |
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Publisher |
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Place of Publication |
Tarbes, France |
Editor |
Rob Grace; Hossein Baharmand |
Language |
English |
Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-82-8427-099-9 |
Medium |
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Track |
Social Media for Crisis Management |
Expedition |
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Conference |
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Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2448 |
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Author |
Vitaveska Lanfranchi; Suvodeep Mazumdar; Fabio Ciravegna |
Title |
Visual design recommendations for situation awareness in social media |
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 |
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Issue |
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Pages |
792-801 |
Keywords |
Data visualization; Design; Information systems; Visualization; Design recommendations; Emergency responders; Online social medias; Real-time information; Situation awareness; Situational awareness; Social media; Visual analytics; Emergency services |
Abstract |
The use of online Social Media is increasingly popular amongst emergency services to support Situational Awareness (i.e. accurate, complete and real-time information about an event). Whilst many software solutions have been developed to monitor and analyse Social Media, little attention has been paid on how to visually design for Situational Awareness for this large-scale data space. We describe an approach where levels of SA have been matched to corresponding visual design recommendations using participatory design techniques with Emergency Responders in the UK. We conclude by presenting visualisation prototypes developed to satisfy the design recommendations, and how they contribute to Emergency Responders' Situational Awareness in an example scenario. We end by highlighting research issues that emerged during the initial evaluation. |
Address |
OAK Group, University of Sheffield, United Kingdom |
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Thesis |
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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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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
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Track |
Visual Analytics for Crisis Management |
Expedition |
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Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
678 |
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Author |
Eva Blomqvist; Vitaveska Lanfranchi; Suvodeep Mazumdar; Tomi Kauppinen; Carsten Kessler |
Title |
Workshop summary: Workshop on Semantics and Analytics for Emergency Response (SAFE2015) |
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 |
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Issue |
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Pages |
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Keywords |
Analytics; emergency response; Linked Data; Semantic Web |
Abstract |
The Emergency Response domain is a highly challenging domain, requiring the active collaboration of several experts and authorities on the one hand and large-scale data analysis on the other. This poses significant challenges in sharing and analysing highly dynamic data describing highly evolving situations. This paper provides a brief summary for the first workshop in the SAFE workshop series. The workshop is aimed at bringing together analysts, practitioners, researchers and enthusiasts and provides a discussion ground for practical problems, solutions and projects that exploit Semantic Web, Linked Data analytics for Emergency Response. Following a round of thorough reviews, four papers are accepted and a keynote will complement the paper presentations along with a few discussion sessions. |
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Corporate Author |
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Thesis |
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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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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9788271177881 |
Medium |
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Track |
Workshop |
Expedition |
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Conference |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
yes |
Call Number |
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Serial |
1297 |
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