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Author Raj Prasanna; Lili Yang; Malcolm King
Title GDIA: A cognitive task analysis protocol to capture the information requirements of emergency first responders Type Conference Article
Year 2009 Publication ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives Abbreviated Journal ISCRAM 2009
Volume Issue Pages
Keywords Information systems; Job analysis; Cognitive task analysis; Cta; Development and applications; Emergency response; Fire and rescue services; First responders; Gdia; Information requirement; Emergency services
Abstract As a partial requirement of the development of an information system for the UK fire and rescue services, this paper describes the development and application of a protocol capable of capturing the information requirements of fire and rescue first responders. After evaluating the existing techniques commonly used in difficult decision-making environments, a Goal Directed Information Analysis (GDIA) protocol is proposed. The clearly defined, repeatable steps of GDIA make it a requirements-gathering protocol which can be easily administered by an investigator without any prior knowledge or experience of the tool. This makes GDIA one of the very few information requirements-gathering protocols capable of capturing the requirements of the emergency-related domains.
Address Business School, Loughborough University, United Kingdom
Corporate Author (up) Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Gothenburg Editor J. Landgren, S. Jul
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789163347153 Medium
Track Research Methods Expedition Conference 6th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 855
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Author Yiwei Li; Yu Guo; Naoya Ito
Title The Role of Information Quality and Efficacy Beliefs in Predicting Chinese People?s Information Seeking about Air Pollution Risk 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 air pollution risk; information quality; outcome expectation; Risk information seeking; self-efficacy
Abstract Information seeking is suggested as an important precursor of self-protective behavior. Therefore, ways of enhancing information seeking are expected to help individuals? precautionary action under conditions of risk. Builds upon previous efforts, a social-cognitive model of risk information seeking is constructed, presenting a new approach to meet the aforementioned expectation. Data were collected from a sample of Mainland Chinese people (N=1032). Results of path analysis demonstrated satisfactory model fit. Explanations on how the cognitive process resulted in information seeking may create a better understanding of individual behavior. Findings provide practical implications for communicating risks and for helping the public to make better decisions.
Address
Corporate Author (up) 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
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9788271177881 Medium
Track Planning, Foresight and Risk Analysis Expedition Conference ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Notes Approved yes
Call Number Serial 1300
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Author Laura Petersen; Laure Fallou; Paul Reilly; Elisa Serafinelli
Title Public expectations of social media use by critical infrastructure operators in crisis communication Type Conference Article
Year 2017 Publication Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2017
Volume Issue Pages 522-531
Keywords Social media; traditional media; crisis communication; critical infrastructure operators; public expectations
Abstract Previous research into the role of social media in crisis communication has tended to focus on how sites such as Twitter are used by emergency managers rather than other key stakeholders, such as critical infrastructure (CI) operators. This paper adds to this emergent field by empirically investigating public expectations of informatio provided by CI operators during crisis situations. It does so by drawing on key themes that emerged from a review of the literature on public expectations of disaster related information shared via social media, and presenting the results of an online questionnaire-based study of disaster-vulnerable communities in France, Norway, Portugal and Sweden. Results indicate that members of the public expect CI operators to provide disaster related information via traditional and social media and to respond to their queries on social media. CI operators should avail of the opportunities provided by social media to provide real-time information to disaster affected communities.
Address European-Mediterranean Seismological Centre (EMSC); University of Sheffield
Corporate Author (up) Thesis
Publisher Iscram Place of Publication Albi, France Editor Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN Medium
Track Social Media Studies Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 2040
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Author Michael Morin; Irène Abi-Zeid; Claude-Guy Quimper; Oscar Nilo
Title Decision Support for Search and Rescue Response Planning Type Conference Article
Year 2017 Publication Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2017
Volume Issue Pages 973-984
Keywords Search and Rescue response; search planning; optimization; mixed-integer linear program; multiple rectangular search area
Abstract Planning, controlling and coordinating search and rescue operations is complex and time is crucial for survivors who must be found quickly. The search planning phase is especially important when the location of the incident is unknown. We propose, implement, solve, and evaluate mathematical models for the multiple rectangular search area problem. The objective is to define optimal or near-optimal feasible search areas for the available search and rescue units that maximize the probability of success. We compare our new model to an existing model on problem instances of realistic size. Our results show that we are able to generate, in a reasonable time, near optimal operationally feasible plans for searches conducted in vast open spaces. In an operational context, this research can increase the chances of finding s urvivors. Ultimately, as our models get implemented in the Canadian Coast Guard search planning tool, this can translate into more lives being saved.
Address Department of Mechanical and Industrial Engineering, University of Toronto, Ontario, Canada; Department of Operations and Decision Systems, Université Laval, Québec, Canada; Department of Computer Science and Software Engineering, Université Laval, Québec
Corporate Author (up) Thesis
Publisher Iscram Place of Publication Albi, France Editor Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN Medium
Track Response and Recovery Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 2081
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