e are a group of researchers committed to bring about the adaptable and comfortable transitions of current user interface (UI) technologies, to the more complex and advanced standards dictated by futuristic and state-of-the-art hardware devices. A sub-division of the parent Multimedia Research Group (MMG) at the Chair of Algorithms & Data Structures, this Intelligent User Interfaces research group (IUI) was established with the main objective of enhancing UI supports in eLearning fields that involve multimedia.

  ur research efforts are directed towards the development of new and practical ideas for use in assisting eLearning scenarios, and the likes. Often, thorough experiments are carried out on recently accepted benchmarks for the evaluation and cross-analyses of promising new techniques that can be integrated into current and future UI methodologies. This, on top of our own formulations of key theoretical standards.

  ssues of Human-Computer Interactions (HCI) are meticulously discussed and adhered to in our group whenever we produce new or prototypical applications and tools. This is in anticipation of the adaptability and the generality of our abstract algorithms to function within and outside the eLearning domain.

  ncompassing well-defined areas such as the collaborative and pervasive interface agents used in artificial intelligence approaches, the structured pattern and voice interpretations utilised in competitive recognition procedures, and the highly efficient spatial and temporal modelling of data structures; our group strives to provide its members and students in the university with up-to-date information through the variety of projects offered and undertaken by the group.