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Towards Continuous Estimation of Dissatisfaction in Spoken Dialog
We collected a corpus of human-human task-oriented dialogs rich in dissatisfaction and built a model that used prosodic features to predict when the user was likely dissatisfied.
Individual Interaction Styles: Evidence from a Spoken Chat Corpus
here is increasing interest in modeling style choices in dialog, for example for enabling dialog systems to adapt to their users.
Using Interaction Style Dimensions to Characterize Spoken Dialog Corpora
The construction of spoken dialog systems today relies heavily on appropriate corpora, but corpus selection is more an art than a science.
Prosody: Models, Methods, and Applications
Prosody is essential in human interaction, enabling people to show interest, establish rapport, efficiently convey nuances of attitude or intent, and so on.
Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop
Fourth, more powerful adaptation methods are needed, to enable robots to communicate in new environments, for new tasks, and with diverse user populations, without extensive re-engineering or the collection of massive training data.
