We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...
We investigate the use of machine learning in combination with feature engineering techniques to explore human multimodal clarification strategies and the use of those strategies ...
We present Witchcraft, an open-source framework for the evaluation of prediction models for spoken dialogue systems based on interaction logs and audio recordings. The use of Witc...
Alexander Schmitt, Gregor Bertrand, Tobias Heinrot...
Games are increasingly being used as educational tools, in part because they are presumed to enhance student motivation. We look at student motivation in games from the viewpoint o...
Amy Ogan, Vincent Aleven, Julia Kim, Christopher J...
The control of overt visual attention relies on an interplay of bottom-up and top-down mechanisms. Purely bottom-up models may provide a reasonable account of the looking behaviors...