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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Bergmann, R. (2007). Ambient intelligence for decision making in fire service organizations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4794 LNCS, pp. 73–90). Springer Verlag. https://doi.org/10.1007/978-3-540-76652-0_5
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