Intelligent Interactive Systems
This research is guided by the vision of closely coupling user interaction with machine learning and reasoning techniques while keeping the user in control. Several current projects aim at improving recommender systems for electronic business and knowledge work. We have developed systems and software frameworks which focus among others on rapidly integrating hybrid recommenders, producing context-aware recommendations for individuals and groups, as well as giving the user more influence on the recommendations process. Besides, adaptivity of UIs is also particularly explored in the area of automotive systems and navigation solutions.
Recommender Systems
Recommender systems have become a widely used and effective means for personalizing information access and presentation in e-commerce and other application areas. Typically, a recommender system attempts to identify a subset of items from a very large information space that meet a user’s interests and preferences best among all alternatives, and subsequently presents those items to the user in a suitable manner. We are particularly interested in user-related aspects of such systems, e.g. increasing interactivity and improving transparency.
Context-adaptivity
Context-adaptivity can be considered as a set of methods and techniques that is intended to enable users to perform their tasks with less effort or better results by taking the user’s current context into account. Depending on the respective use case, context can be virtually anything that is supposed to have an influence on the task at hand, for instance location, season, temperature, mood, or company of other people.
Smart Mobility Solutions
Navigation systems are widespread tools in automobiles while mobile applications assist smartphone users in other everyday life situations. Present solutions aim at optimizing routes without taking the user’s knowledge, experience, and preferences into account. Thus, we are investigating techniques for improving presentation of routes by incorporating personal user information and other data. Besides, we are exploring smart solutions to support intermodal mobility, i.e. using different modes of transport.
