Towards developing general models of usability with PARADISE
Natural Language Engineering
Partially observable Markov decision processes for spoken dialog systems
Computer Speech and Language
Modeling user satisfaction with Hidden Markov Model
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Modeling user satisfaction transitions in dialogues from overall ratings
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Modeling and predicting quality in spoken human-computer interaction
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
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Information about the quality of a Spoken Dialogue System (SDS) is usually used only for comparing SDSs with each other or manually improving the dialogue strategy. This information, however, provides a means for inherently improving the dialogue performance by adapting the Dialogue Manager during the interaction accordingly. For a quality metric to be suitable, it must suffice certain conditions. Therefore, we address requirements for the quality metric and, additionally, present approaches for quality-adaptive dialogue management.