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Author |
Grace, R.; Montarnal, A.; Petitdemange, E.; Rutter, J.; Rodriguez, G.R.; Potts, M. |
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Title |
Collaborative Information Seeking during a 911 Call Surge: A Case Study |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
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Volume |
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Issue |
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Pages |
649-662 |
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Keywords |
Emergency Communications; Information Seeking; Emergency Management; Crisis Informatics |
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Abstract |
This case study examines collaborative information seeking in a public-safety answering point during a 911 call surge that occurred when a man fired an assault rifle at police officers and evaded capture for nearly an hour in March 2020. Overwhelmed by questionable and imprecise reports from 911 callers, telecommunicators and on scene responders began working together to conduct broad and deep searches for the shooter. Whereas broad searches improved the scope of information gathering by identifying multiple, albeit questionable and imprecise, reports of the suspect’s location, deep searches improved the quality of information gathering by investigating 911 callers’ reports using drone, helicopter, and patrol units. These findings suggest requirements for collaborative information seeking in public-safety answering points, including capabilities to conduct broad and deep searches using next-generation 911 technologies, and command and control requirements for triaging these search tasks within inter-organizational emergency response systems. |
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Address |
Texas Tech University; IMT Mines Albi; Pennsylvania State University; Chandler Police Department |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
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Language |
English |
Summary Language |
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Original Title |
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Series Editor |
Hosssein Baharmand |
Series Title |
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Series Volume |
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Series Issue |
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Edition |
1 |
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Track |
Command and Control Studies |
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Conference |
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Notes |
http://dx.doi.org/10.59297/ZFAY5505 |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2554 |
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Author |
Tim J. Grant; Gijs Van Den Heuvel |
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Title |
Modelling the information sharing process in military coalitions: A work in progress |
Type |
Conference Article |
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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 |
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Volume |
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Issue |
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Pages |
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Keywords |
Commerce; Communication; Information systems; Security systems; Coalition; Information seeking; Information sharing; Process Modeling; Security regulations; Information analysis |
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Abstract |
Coalition partners must share information to work together. Models of information sharing assume that it is a linear, one-way process. As part of a larger project, we studied information sharing in military coalitions. Interviews of 47 officers in NATO R&D organizations showed that one piece of information was often traded for another. This is characteristic of an information market. Security regulations make information a scarce resource, although trust may allow the regulations to be waived. Our observations have consequences for the military Network Enabled Capabilities community in their desire to migrate to a “need to share” security principle. Failing to find a suitable process model in the literature, we outline requirements and identify two possible starting points for modelling the information sharing process in military coalitions. |
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Address |
Netherlands Defence Academy, Netherlands |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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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 |
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Track |
Special Session: Studies of Command and Control Systems |
Expedition |
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Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
548 |
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Author |
Qing Gu; David Mendonça |
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Title |
Patterns of group information-seeking in a simulated emergency response environment |
Type |
Conference Article |
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Year |
2005 |
Publication |
Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2005 |
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Volume |
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Issue |
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Pages |
109-116 |
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Keywords |
Artificial intelligence; Decision support systems; Information retrieval; Information systems; Information use; Emergency response; Emergency situation; Expertise; Information seeking; Information seeking behaviors; Emergency services |
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Abstract |
Groups in emergency response environment may be confronted with problems that cannot be solved by following predefined procedures. They must therefore engage in a collective search for relevant information, cooperating and collaborating as they move towards the deadline. Information technologies and expertise may help shape group information seeking and determine its effectiveness. By understanding how response personnel search for information in emergencies and extending the findings to determine demands on information systems, we may begin to understand how to support and train for skillful information seeking in emergency situations. Accordingly, this research evaluates the impact of decision support systems and member expertise on group information-seeking behavior in a simulated emergency response environment. The results of the evaluation are then used to identify how information technologies may further support information seeking in emergency response. |
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Address |
Information Systems Department, New Jersey Institute of Technology, Newark, NJ, United States |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
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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 |
9076971099 |
Medium |
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Track |
RESEARCH METHODS |
Expedition |
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Conference |
2nd International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
552 |
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Author |
Yiewi Li.; Yu Guo; Naoya Ito |
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Title |
An exploration of a social-cognitive framework for improving the human-centric risk communication |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
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Pages |
394-398 |
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Keywords |
Information retrieval; Risk perception; Environmental risk perceptions; Environmental risks; Human-centric; Information environment; Information seeking behaviors; Online surveys; Predictive power; Risk communication; Information systems |
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Abstract |
With the aim of improving human-centric risk communication, this research in progress paper argues for a social-cognitive perspective focusing on the interaction between laypeople and the information environment. A model is designed to predict laypeople's environmental risk perception and information seeking behavior. Using data from a national online survey (N=1,032), our research is an effort to test the predictive power of the socialcognitive model. Practical implications are also discussed in this paper. |
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Address |
Graduate School of International Media, Communication, and Tourism Studies, Hokkaido University, Japan; Research Faculty of Media and Communication, Hokkaido University, Japan |
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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. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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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 |
Planning, Foresight and Risk Analysis |
Expedition |
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Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
697 |
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Author |
Yiwei Li; Yu Guo; Naoya Ito |
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Title |
The Role of Information Quality and Efficacy Beliefs in Predicting Chinese People?s Information Seeking about Air Pollution Risk |
Type |
Conference Article |
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Year |
2015 |
Publication |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2015 |
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Volume |
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Issue |
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Pages |
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Keywords |
air pollution risk; information quality; outcome expectation; Risk information seeking; self-efficacy |
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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. |
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Publisher |
University of Agder (UiA) |
Place of Publication |
Kristiansand, Norway |
Editor |
L. Palen; M. Buscher; T. Comes; A. Hughes |
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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 |
Planning, Foresight and Risk Analysis |
Expedition |
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Conference |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
yes |
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Call Number |
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Serial |
1300 |
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