Active Systems Decisions Enhancement Using User Model in Pervasive Computing Environments

The knowledge about the user expectations and goals increase the effectiveness of system reaction to detected context. We present an analysis of the setting process by meaning building a user model for automatic programmed responses of complex systems. However such step is not an easy task for common users. Human logic is a process based on experiences and implicates a grade of uncertainty of values meaning, while computers can deal only with definite state of situations. The natural language is a challenge approach to explicitly set the system reactions chain for complex and diverse pervasive systems. Our design of the system architecture is defined in terms of OSGi components but is also applicable for different collaboration mode design. We make use of the fuzzy logic to build up correlations interpretation with more tangible human approach in our process that defines the user model.