T1: Context

In VENUS context means in particular “situational” context of users. Applications must be able to draw the right conclusions from different context data (e.g. location, presence of particular persons, temperature, loudness, calendar dates, information about used programs) to situational context (e.g. meeting, teleconference, restaurant, home).

As a first step, the context raw data and the appropriate situational user context are made accessible. Methods for the specification of sensor information and algorithms for the distributed development of situational user contexts must be developed or adapted.
In this process data mining techniques (together with Sub-Project T2) and forecast procedures may be used.  Hit probabilities and forecast periods are to be assessed. Personalization is also an important aspect.   In VENUS trust supporting components for the use of personalized context information are explored.

The results are implemented in a system architecture for the context management which is a basis for the activities of T2 (knowledge discovery) and T3 (adoption decision).

The offer of context-related services requires the collection of various data which are generated e.g. by sensors, GPS or mobile end devices in order to determine the context of a person.

The focus of the legal investigation lies in the legal analysis and assessment of data processing operations. The lawyers will among other things investigate to which degree personal data are used and which persons in various constellations are responsible for this data processing.

With regard to the design it is studied how to ensure the transparency of the collection of context-related data and how to avoid infringing the rights of data subjects in the context of ubiquitous computing.

In order to assess the design alternatives it has to be proven whether an (illegal) data retention takes place and if these alternatives increase the risks of profiling.
With regard to normative design it has to be proven which regulation concepts can be developed to process the data protection concerns.

The user-friendly adaptation of the man-machine interface and derivation of a context-dependent requirement for change needs a model of user- and environmental factors of the context that should be developed here.
The addition of user properties (e.g. auditory perception, user status) and environmental factors (e.g. street noise) enables the UC-system to address the various human modalities under consideration of the situational context.