Human-Computer Interaction

Vision and Research Strategy

Designing easy-to-use user interfaces is a challenging task, because the number of possible designs in any meaningful design problem is too large to allow confidence in that the outcome is the best possible or even good. For example, there are 1047 possible designs of the physical keyboard – more than synapses in the brain (1014 ) or stars in the known universe (1024 )! Ideally, the analysis of well-known parts of a design space would be automatized, allowing the designer to focus on the truly novel aspects of the problem. This goal can be achieved by models of human-computer interaction that make predictions on optimal designs.

We develop statistical and simulation models of interaction that capture well-studied aspects of interaction. The models draw from behavioral and cognitive sciences. The basis of our work is quantative behavioral modeling of interaction combined with computational methods for searching the optimal design. Whereas previous work in human-computer interaction has been largely based on trial and error, this approach allows aggressive exploration of user interfaces. The outcomes are demonstrated as novel user interfaces targeted to  both classic interactive tasks, such as text entry and menu selection, as well as novel multimodal and mixed reality interfaces.

Composition of Group

Our group was founded in July 2012 in the Cluster of Excellence. Please see the group homepage for full list of members.

Research Topics and Achievements