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Ambient Intelligence for Decision Making in Fire Service Organizations

  • Ralph Bergmann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4794)

Abstract

This paper describes the results of the European Project AMIRA (Advanced Multimodal Intelligence for Remote Assistance) which deals with the support of emergency services (in particular fire services) by Ambient Intelligence. We address the problem of mobile decision support by providing mobile multi-modal access to mission-critical knowledge from different heterogeneous knowledge sources. For this purpose, we analyzed the requirements of fire service organizations as part of a socio-technical study. Further, the AMIRA system was designed based on methods from Artificial Intelligence. It implements domain specific search strategies to identify decision relevant knowledge from available knowledge sources. The developed system has been implemented as prototype and successfully evaluated in a comprehensive evaluation based on user trials.

Keywords

Knowledge Source User Agent Ambient Intelligence Collaboration Pattern Speech Synthesizer 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Ralph Bergmann
    • 1
  1. 1.University of Trier, Department of Business Information Systems II, 54286 TrierGermany

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