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» Learning User Intentions in Spoken Dialogue Systems
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ACL
2001
14 years 11 months ago
Predicting User Reactions to System Error
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 ...
Diane J. Litman, Julia Hirschberg, Marc Swerts
SIGDIAL
2010
14 years 7 months ago
Non-humanlike Spoken Dialogue: A Design Perspective
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...
Kotaro Funakoshi, Mikio Nakano, Kazuki Kobayashi, ...
AIED
2009
Springer
15 years 4 months ago
Adapting to Student Uncertainty Improves Tutoring Dialogues
This study shows that affect-adaptive computer tutoring can significantly improve performance on learning efficiency and user satisfaction. We compare two different student uncer...
Katherine Forbes-Riley, Diane J. Litman
LREC
2010
186views Education» more  LREC 2010»
14 years 11 months ago
WITcHCRafT: A Workbench for Intelligent exploraTion of Human ComputeR conversaTions
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...
UM
2009
Springer
15 years 4 months ago
A Model of Temporally Changing User Behaviors in a Deployed Spoken Dialogue System
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...