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<!-- /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-parent:""; margin:0cm; margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman"; mso-fareast-font-family:"Times New Roman";} @page Section1 {size:612.0pt 792.0pt; margin:72.0pt 90.0pt 72.0pt 90.0pt; mso-header-margin:36.0pt; mso-footer-margin:36.0pt; mso-paper-source:0;} div.Section1 {page:Section1;} --> Rapid development of sensor devices and methods for man-machine interaction influenced the increased research in the area of adaptive, context-aware systems. In this paper we present such a system, which aims at seamlessly collecting information from humans and their domain specific surrounding, processing this information by dynamically creating “self-organized awareness context” and reflecting the discovered context by offering appropriate services or actions in a pervasive manner. This system is based on the use of ontologies and rules. Ontologies are used for describing the characteristics of used devices (sensors and actuators), the constraints and requirements they need to comply with, while the rules are used for defining goals (actions) that need to be fulfilled as a reaction to the discovered context. The paper shows the way this adaptive, context-aware system works in the car environment. We chose the car environment not only for the reason that an electronically equipped car can contribute to a safer driving, but it may also influence the driver’s attitude and mood by observing the driver and adapting the car settings and ambient according to the driver’s psycho-physiological state.