Abstract:
Due to the ever growing volume of acquired data and information, users have
to be constantly aware of the methods for their exploration and for
interaction. Of these, not each might be applicable to the data at hand or
might reveal the desired result. Owing to this, innovations may be used
inappropriately and users may become skeptical. In this paper we propose a
knowledge-assisted interface for medical visualization, which reduces the
necessary effort to use new visualization methods, by providing only the most
relevant ones in a smart way. Consequently, we are able to expand such a
system with innovations without the users to worry about when, where, and
especially how they may or should use them. We present an application of our
system in the medical domain and give qualitative feedback from domain
experts.