Attention, intentions, and the structure of discourse
Computational Linguistics
Designing and Evaluating an Adaptive Spoken Dialogue System
User Modeling and User-Adapted Interaction
Towards developing general models of usability with PARADISE
Natural Language Engineering
Quantitative and qualitative evaluation of Darpa Communicator spoken dialogue systems
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Error awareness and recovery in conversational spoken language interfaces
Error awareness and recovery in conversational spoken language interfaces
Going Beyond the Problem Given: How Human Tutors Use Post-Solution Discussions to Support Transfer
International Journal of Artificial Intelligence in Education - "Caring for the Learner" in honour of John Self
Spoken Versus Typed Human and Computer Dialogue Tutoring
International Journal of Artificial Intelligence in Education
Exploiting discourse structure for spoken dialogue performance analysis
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Optimizing endpointing thresholds using dialogue features in a spoken dialogue system
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
A framework for model-based evaluation of spoken dialog systems
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Optimizing dialogue management with reinforcement learning: experiments with the NJFun system
Journal of Artificial Intelligence Research
Applications of discourse structure for spoken dialogue systems
Applications of discourse structure for spoken dialogue systems
The impact of task-oriented feature sets on HMMs for dialogue modeling
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Adapting to multiple affective states in spoken dialogue
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
When Does Disengagement Correlate with Performance in Spoken Dialog Computer Tutoring?
International Journal of Artificial Intelligence in Education - Best of AIED 2011
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This paper is part of our broader investigation into the utility of discourse structure for performance analysis. In our previous work, we showed that several interaction parameters that use discourse structure predict our performance metric. Here, we take a step forward and show that these correlations are not only a surface relationship. We show that redesigning the system in light of an interpretation of a correlation has a positive impact.