Multimodal User State Recognition in a Modern Dialogue System

@inproceedings{Adelhardt2003MultimodalUS,
  title={Multimodal User State Recognition in a Modern Dialogue System},
  author={Johann Adelhardt and Rui Ping Shi and Carmen Frank and Viktor Zei{\ss}ler and Anton Batliner and Elmar N{\"o}th and Heinrich Niemann},
  booktitle={KI},
  year={2003}
}
A new direction in improving automatic dialogue systems is to make a human-machine dialogue more similar to a human-human dialogue. A modern system should be able to recognize the semantic content of spoken utterances but also to interpret some paralinguistic or non-verbal information — as indicators of the internal user state — in order to detect success or trouble in communication. A common problem in a human-machine dialogue, where information about a users internal state of mind may give a… CONTINUE READING
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