Records |
Author |
Amro Al-Akkad; Zimmermann, A. |
Title |
User study: Involving civilians by smart phones during emergency situations |
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 |
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Issue |
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Pages |
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Keywords |
Hardware; Bystander intervention; Cell phone; Emergency situation; Mobile applications; Mobile sensing; Semi structured interviews; User constraints; User study; Information systems |
Abstract |
This paper concerns a preliminary user study to determine the acceptance of a mobile application that is supposed to involve civilians during emergencies. In particular, the focus is on bystanders. Their intervention during emergencies constitutes a delicate issue, since they were traditionally considered as a rather annoying party being merely observers of incidents. However, with the ubiquity and ever-increasing capabilities of cell phones there might emerge a great potential to flip the coin and to benefit from bystanders playing from now on a contributive role. To examine this hypothesis, we conducted semi-structured interviews with 24 persons. The result of our study shows that people are willing to use such mobile assisting system, and thus we take it as a positive starting signal to continue our research into this direction considering the elicited user constraints. |
Address |
Fraunhofer Institute of Applied Information Technology FIT, Schloss Birlinghoven, 53754 Sankt Augustin, Germany |
Corporate Author |
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Thesis |
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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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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 |
9789724922478 |
Medium |
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Track |
User Centred Design Process for EMIS |
Expedition |
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Conference |
8th 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 |
260 |
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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 |
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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 |
Intelligent Systems |
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 |
864 |
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Author |
Yan Wang; Hong Huang; Lida Huang; Minyan Han; Yiwu Qian; Boni Su |
Title |
An Agile Framework for Detecting and Quantifying Hazardous Gas Releases |
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 |
42-49 |
Keywords |
Hazardous gas release; mobile sensing; data fusion; leakage detection; source term estimation |
Abstract |
In response to the threat of hazardous gas releases to public safety and health, we propose an agile framework for detecting and quantifying gas emission sources. Emerging techniques like high-precision gas sensors, source term estimation algorithms and Unmanned Aerial Vehicles are incorporated. The framework takes advantage of both stationary sensor network method and mobile sensing approach for the detection and quantification of hazardous gases from fugitive, accidental or deliberate releases. Preliminary results on street-level detection of urban natural gas leakage is presented. Source term estimation is demonstrated through a synthetic test case, and is verified using Cramér-Rao bound analysis. |
Address |
Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, China; Beijing Define Technology Co., Ltd, Beijing, China; Hefei Institute for Public Safety Research, Tsinghua University, Hefei, China |
Corporate Author |
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Thesis |
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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 |
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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 |
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Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
14th International Conference on Information Systems for Crisis Response And Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
1998 |
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