The research activities in Applied Computer Science primarily address the use of Computer Science in innovative applications particularly related to the humanities, as well as the IT-based methods and principles essential to this field.
The research projects deal with matters pertaining to Computing in the Cultural Sciences, i.e., computer science in the humanities. The research group develops, for example, information systems for architectural heritage conservation, human geography or communication studies.
Semantic information processing systems, which are continually being refined, represent the foundation of this work. The focus of this research is placed on the following technological fields:
The field of Cognitive Systems in Applied Computer Science deals first and foremost with learning. The aim of machine learning is to develop software that enables computers to acquire new knowledge or more general capabilities from particular and exemplary experience.
Machine learning research is focused on improving existing learning algorithms or developing new ones, with the aim of creating programs that replicate human learning processes.
Machine learning makes it possible to utilize in computer programs knowledge and capabilities for which no explicit model can be specified. This can be applied, for example, to computer-aided diagnostics, the detection of patterns in large volumes of data (data mining) or to the development of user-adaptive systems.
The focal areas of Media Informatics research are context-related information retrieval, content-based retrieval in distributed environments, search engines for internet and intranet applications, content-based image retrieval, blended learning and e-learning applications, and infrastructures and applications for digital humanities.
The three vital developments of human-computer interaction (HCI) play a major role in research: interactive systems (with graphic interfaces and windows-based user interaction); cooperative systems (for computer-aided communication and cooperation); and ubiquitous systems (for natural user interaction with the help of sensors and actuators of finger movements, speech input, etc.). Research work is conducted primarily in the following fields:
The fundamentals: methodological, conceptual and technological foundations for the development of interactive, cooperative and ubiquitous systems
Contextual support: sensors for the capture of information; information presentation indicators; information and context modeling
Innovative user interfaces: the conceptual design and evaluation of mobile and web-based user interfaces, as well as ambient interfaces which utilize users’ physical surroundings to display digital information.