With the evolution of the Web evolving towards the Semantic Web, where the information should be presented in a meaningful way for both humans and machines, arises the need for sem...
In this paper, we introduce a toolkit called SceneMaker for authoring scenes for adaptive, interactive performances. These performances are based on automatically generated and pr...
Patrick Gebhard, Michael Kipp, Martin Klesen, Thom...
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
In this paper, we will deal with some important kinds of metric temporal reasoning problems that arise in many real-life situations. In particular, events X0, X1 . . . XN are mode...
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
Iwan de Kok, Derya Ozkan, Dirk Heylen, Louis-Phili...