This paper focuses on the analysis and prediction of so-called aware sites, defined as turns where a user of a spoken dialogue system first becomes aware that the system has made ...
We propose a non-humanlike spoken dialogue design, which consists of two elements: non-humanlike turn-taking and non-humanlike acknowledgment. Two experimental studies are reporte...
This study shows that affect-adaptive computer tutoring can significantly improve performance on learning efficiency and user satisfaction. We compare two different student uncer...
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...
Abstract. User behaviors on a system vary not only among individuals but also within the same user when he/she gains experience on the system. We empirically investigated how indiv...
Kazunori Komatani, Tatsuya Kawahara, Hiroshi G. Ok...