For all IT systems, a high degree of user friendliness at the interface between human and machine is a decisive prerequisite for being accepted by the general public. Ambient Intelligence applications are characterized by multi-modal interfaces as well as by the pro-active behavior of the computer system. Therefore, various interfaces must be sensibly combined with each other, and the interaction with humans must be perfectly adapted to the individual situation of the human. Specific challenges include, among others, the selection of suitable interfaces for specific applications, the dynamic changes of interfaces based on changes in the state of the human such as "experiences gained" or "accident", as well as the experience-based optimization of such interfaces.
Regarding selection, methods are currently being developed that can suggest suitable interfaces based on a comprehensive characterization of the requirements. This methodology is very comprehensive and complex, since the requirements involve human properties such as their desire for information or personal preferences. Further evaluation and optimization of the methodology are absolutely indispensable. This work urgently requires the collaboration of psychologists. With respect to the dynamic changing of interfaces, this must be supported at least by semi-automatic generation. Experience-based patterns may be a suitable approach for this. Concerning the optimization of interfaces, an increase of acceptance through experience-based optimization can be envisioned. Such assistance systems already exist in vehicles, where, for example, the type of acceleration can be adapted to the style of driving of the respective driver.