Advertisement

Siren: Context-aware Computing for Firefighting

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3001)

Abstract

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.

Keywords

Ubiquitous Computing Pervasive Computing Tuple Space Alert Message Dangerous Place 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    U.S. Fire Administration, F.E.M.A., Facts on Fire (2000), http://www.usfa.fema.gov/dhtml/public/facts.cfm
  2. 2.
    Estrin, D., Culler, D., Pister, K., Sukhatme, G.: Connecting the Physical World with Pervasive Networks. IEEE Pervasive Computing 1, 59–69 (2002)CrossRefGoogle Scholar
  3. 3.
    Jiang, X., Landay, J.: Modeling Privacy Control in Context-aware Systems Using Decentralized Information Spaces. IEEE Pervasive Computing 1(3) (2002)Google Scholar
  4. 4.
    Schilit, B.N.: A Context-Aware System Architecture for Mobile Distributed Computing, Unpublished PhD, Columbia University (1995), http://seattleweb.intel-research.net/people/schilit/schilit-thesis.pdf
  5. 5.
    Kindberg, T., Barton, J.: A Web-based Nomadic Computing System. Computer Networks 35, 443–456 (2001)CrossRefGoogle Scholar
  6. 6.
    Dey, A.K., Salber, D., Abowd, G.D.: A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications. Human-Computer Interaction 16(2-4), 97–166 (2001)CrossRefGoogle Scholar
  7. 7.
    Crowley, J.L., Coutaz, J., Rey, G., Reignier, P.: Perceptual Components for Context Aware Computing. In: Borriello, G., Holmquist, L.E. (eds.) UbiComp 2002. LNCS, vol. 2498, pp. 117–134. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  8. 8.
    Davies, N., Wade, S.P., Friday, A., Blair, G.S.: Limbo: A tuple space based platform for adaptive mobile applications. In: Proceedings of The International Conference on Open Distributed processing / Distributed Platforms (ICODP/ICDP 1997), pp. 291–302 (1997)Google Scholar
  9. 9.
    Addlesee, M., Curwen, R., Newman, S.H., Steggles, P., Ward, A., Hopper, A.: Implementing a Sentient Computing System. IEEE Computer 34(8), 50–56 (2001)Google Scholar
  10. 10.
    Pascoe, J.: The Stick-e Note Architecture: Extending the Interface Beyond the User. In: Proceedings of International Conference on Intelligent User Interfaces, pp. 261–264 (1997)Google Scholar
  11. 11.
    Castro, P., Muntz, R.: Managing Context for Smart Spaces. IEEE Personal Communications 5(5) (2000)Google Scholar
  12. 12.
    Edwards, W.K., Newman, M.W., Sedivy, J.Z., Smith, T.F., Izadi, S.: Challenge: Recombinant Computing and the Speakeasy Approach. In: Proceedings of Eighth ACM International Conference on Mobile Computing and Networking, MobiCom 2002 (2002)Google Scholar
  13. 13.
    Chen, G., Kotz, D.: Context Aggregation and Dissemination in Ubiquitous Computing Systems. In: Proceedings of Fourth IEEE Workshop on Mobile Computing Systems and Applications. pp. 105–114 (2002)Google Scholar
  14. 14.
    Olsen, D.R., Jefferies, S., Nielsen, T., Moyes, W., Frederickson, P.: Cross-modal Interaction using XWeb. In: CHI Letters, The 13th Annual ACM Symposium on User Interface Software and Technology: UIST 2000, vol. 2(2) (2000)Google Scholar
  15. 15.
    Román, M., Hess, C.K., Cerqueira, R., Ranganathan, A., Campbell, R.H., Nahrstedt, K.: Gaia: A Middleware Infrastructure to Enable Active Spaces. IEEE Pervasive Computing 1(4), 74–83 (2002)CrossRefGoogle Scholar
  16. 16.
    Grimm, R., Davis, J., Lemar, E., Macbeth, A., Swanson, S., Anderson, T., Bershad, B., Borriello, G., Gribble, S., Wetherall, D.: Programming for pervasive computing environments. Technical Report UW-CSE-01-06-01, University of Washington Department of Computer Science and Engineering, Seattle, WA (2001)Google Scholar
  17. 17.
    Johanson, B., Fox, A., Winograd, T.: The Interactive Workspaces Project: Experiences with Ubiquitous Computing Rooms. IEEE Pervasive Computing 1(2), 67–74 (2002)CrossRefGoogle Scholar
  18. 18.
    Hong, J.I., Landay, J.A.: An Architecture for Privacy-Sensitive Ubiquitous Computing. In: Proceedings of the Second International Conference on Mobile Systems, Applications, and Services. Boston, MA (2004) (to Appear)Google Scholar
  19. 19.
    Agrawala, Draco. A.: Connectivity Beyond Networks (2001), http://mindlab.umd.edu/research_draco.html
  20. 20.
  21. 21.
    DARPA Information Exploitation Office, Command Post of the Future, http://dtsn.darpa.mil/ixo/programdetail.asp?progid=18
  22. 22.
    Camp, P.J., et al.: Supporting Communication and Collaboration Practices in Safety-Critical Situations. In: Proceedings of Human Factors in Computing Systems: CHI 2000, pp. 249–250. ACM Press, Fort Lauderdale (2000)CrossRefGoogle Scholar
  23. 23.
    Jiang, X., Hong, J., Takayama, L.: Ubiquitous Computing for Firefighting: Field Studies and Large Displayes for Incident Command. To appear in CHI 2004, Vienna, Austria (2004)Google Scholar
  24. 24.
    McKinsey and Co, Increasing FDNY’s Preparedness (2002), http://www.nyc.gov/html/fdny/html/mck_report/toc.html
  25. 25.
    Paulison, R.D.: Working for a Fire Safe America: The United States Fire Administration Challenge (2002), http://www.usfa.fema.gov/dhtml/inside-usfa/about.cfm
  26. 26.
    Rowstron, A.: Using asynchronous tuple space access primitives (BONITA primitives) for process coordination. In: Garlan, D., Le Métayer, D. (eds.) Coordination Languages and Models. LNCS, pp. 426–429. Springer, Berlin (1997)CrossRefGoogle Scholar
  27. 27.
    XML Path Language (XPath), W3C, http://www.w3.org/TR/xpath
  28. 28.
    Kahn, J.M., Katz, R.H., Pister, K.S.J.: Mobile Networking for Smart Dust. In: Proceedings of MobiCom 1999: The Fifth Annual International Conference on Mobile Computing and Networking, pp. 271–278. ACM Press, Seattle (1999)CrossRefGoogle Scholar
  29. 29.
    Tarasewich, P., Campbell, C., Xia, T., Dideles, M.: Evaluation of Visual Notification Cues for Ubiquitous Computing. In: Proceedings of 5th International Conference on Ubiquitous Computing, Seattle, WA (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  1. 1.Computer Science DivisionUniversity of California, BerkeleyBerkeleyUSA
  2. 2.Department of CommunicationStanford UniversityStanfordUSA
  3. 3.DUB Group, Computer Science and EngineeringUniversity of WashingtonSeattleUSA

Personalised recommendations