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2004 | OriginalPaper | Buchkapitel

Siren: Context-aware Computing for Firefighting

verfasst von : Xiaodong Jiang, Nicholas Y. Chen, Jason I. Hong, Kevin Wang, Leila Takayama, James A. Landay

Erschienen in: Pervasive Computing

Verlag: Springer Berlin Heidelberg

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Based on an extensive field study of current firefighting practices, we have developed a system called Siren to support tacit communication between firefighters with multiple levels of redundancy in both communication and user alerts. Siren provides a foundation for gathering, integrating, and distributing contextual data, such as location and temperature. It also simplifies the development of firefighting applications using a peer-to-peer network of embedded devices through a uniform programming interface based on the information space abstraction. As a proof of concept, we have developed a prototype context-aware messaging application in the firefighting domain. We have evaluated this application with firefighters and they have found it to be useful for improving many aspects of their current work practices.

Metadaten
Titel
Siren: Context-aware Computing for Firefighting
verfasst von
Xiaodong Jiang
Nicholas Y. Chen
Jason I. Hong
Kevin Wang
Leila Takayama
James A. Landay
Copyright-Jahr
2004
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-540-24646-6_6

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