10.1184/R1/6470429.v1
Xiaodong Jiang
Xiaodong
Jiang
Nicholas Y. Chen
Nicholas Y.
Chen
Jason I. Hong
Jason I.
Hong
Kevin Wang
Kevin
Wang
Leila Takayama
Leila
Takayama
James A. Landay
James A.
Landay
Siren: Context-Aware Computing for Firefighting
Carnegie Mellon University
2004
Human Computer Interaction
2004-01-01 00:00:00
Journal contribution
https://kilthub.cmu.edu/articles/journal_contribution/Siren_Context-Aware_Computing_for_Firefighting/6470429
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.