Ambient intelligence for decision making in fire service organizations

Authors:
Ralph Bergmann
Affiliations:
University of Trier, Department of Business Information Systems II, Trier, Germany
Venue:
AmI'07 Proceedings of the 2007 European conference on Ambient intelligence
Year:
2007

Citing 3
Cited 2

Case-based reasoning: foundational issues, methodological variations, and system approaches

AI Communications
Developing Industrial Case-Based Reasoning Applications: The Inreca Methodology

Developing Industrial Case-Based Reasoning Applications: The Inreca Methodology
Case-based support for collaborative business

ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning

Using ambient intelligence for physiological monitoring

Journal of Ambient Intelligence and Smart Environments
Using ambient intelligence for physiological monitoring

Journal of Ambient Intelligence and Smart Environments

Quantified Score

Hi-index	0.00

Visualization

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.