Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
The design of applications using mobile devices needs a different quality assessment than those known for desktop applications. Of the many aspects that have to be taken into acco...
Paul Holleis, Friederike Otto, Heinrich Hussmann, ...
T-Learning was passive, for a long time, because of the restrictions imposed on TVs. The relevant restrictions are a result of the input function, i.e. the normal TV remote contro...
The wide range of different devices with varying capabilities and interaction modalities as well as changing user context in nomadic applications, poses critical challenges to the ...