Expected end results
The most important end results that TALK expects are the following scientific contributions:
A methodology for developing efficient and natural dialogue systems based on behaviour automatically learned from human communication. This is needed to make dialogue systems effective enough to make them commercially viable. These datadriven methods will also reduce development times and costs.
A reconfigurable dialogue system design which separates application-specific information from generic communicative behaviour. This provides the foundations for reconfigurable systems that are not tied to a single application, but rather have the ability to handle many dynamically changing devices and services. This will solve a major bottleneck in (currently very expensive) deployment of multimodal systems.
A dialogue system design which isolates modality- and language-independent information from modality- and language-specific information. This is needed in order to make it easier to port dialogue systems to new languages and to extend the interaction by adding new modalities without having to redesign the entire system. Similar to the problem above, extending a dialogue system to new languages is currently an expensive process.