A context-aware disaster response system using mobile software technologies and collaborative filtering approach

Jing, Nan; Li, Yijun; Zhao, Wang

doi:10.1109/cscwd.2014.6846898

Cited by 9 publications

(3 citation statements)

References 10 publications

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“…In this way, there are some initiatives with the same CO-SEMIWA´s approach, like for example in Jing et al (2014) a mobile context-aware disaster response system called Sky Guard that consists of a mobile client application and a disaster response server.…”

Section: Related Workmentioning

confidence: 99%

“…The Sky Guard Jing et al (2014) is a context-aware mobile disaster response system which uses mobile client application to capture a variety of user contexts and uses, server modules to analyze these contexts in order to deliver best customized instructions to each user in a proper presentation format to the mobile device. It defines what types of the contexts should be included to inform the user activities and disaster environment and explain the process to analyze contexts in details.…”

Section: Related Workmentioning

confidence: 99%

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Coordinating emergency response by competent teams

Hasse¹,

Gauthier²,

Rolt³

et al. 2018

IJCSIS

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ICTs and social networks can contribute to the emergence of creating competent teams for emergency response. For example, during disasters such as Pakistan flood of 2010, Japan tsunami of 2011 and Thailand flood of 2011, On-Line Social Networks (OSNs) have served as a main technology for numerous people seeking to share information about their personal status, to request resources, or to report the status of their community. They can be used at least for three main functions: detecting emergencies, disseminating information, and managing emergencies. On the other hand, the combination of Internet and mobile technology generated smart devices with associated sensor technologies that are becoming crucial parts in delivering supports during disaster and emergency situation. However, such use of mobile devices usually requires a reliable support system from crowdsensing technologies and back-end intelligent systems. In this way, the mobile crowdsensing must be designed with focus on mechanisms to identify and localize survivors and first responders in an incident zone, as well as mechanisms for competence characterization provided by social networks to facilitate coordination for individuals as well as crowds. These main technologies, the crowdsensing and social networks combined with semantic web and ontologies can provide a complete emergency response system that is the purpose of the CO-SEMIWA platform. This platform permits an interaction among participants to create dynamically competent teams where all participants perform tasks and solve problems in a specific emergency context and situation.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Coordinating emergency response by competent teams

Hasse¹,

Gauthier²,

Rolt³

et al. 2018

IJCSIS

View full text Add to dashboard Cite

show abstract

“…Some of the requirements and challenges of crisis communication include: (i) the use of communication systems is not the central activity of people in these situations; (ii) useful instructions should be provided with clear, non ambiguous, and easy to understand information; (iii) a person's context (e.g., spoken language, age, impairment) can influence the message understanding, thus should be used to personalize messages; and (iv) potential victims should be identified and contacted as fast as possible [16,8]. Context-aware computing provide technologies that support dealing with these challenges [8]. A context-aware system is one that uses relevant information from the environment based on the activity that the user is performing [15].…”

Section: Introductionmentioning

confidence: 99%

Towards a Context-Sensitive System To Support Crisis Communication Message Dissemination

Rodrigues

Machado

Lobo

et al. 2017

Anais Do Simpósio Brasileiro De Sistemas De Informação (SBSI)

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Identifying potential victims to avoid alert people who are not in danger is an open challenge to crisis communications systems. In an emergency situation alerting individuals out of danger can overload dissemination systems and lead to loss of system credibility because people can be overwhelmed with irrelevant information. This paper aims to investigate how to improve the message dissemination process in crisis communication by using context-aware computing concepts. We propose a system to identify potential victims and define a strategy with a better way to contact them. For evaluation we performed two case studies with real emergency messages. Finally, we discuss ways to identify potential victims of emergency situations.

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