@inproceedings{ultes-etal-2014-first,
title = "First Insight into Quality-Adaptive Dialogue",
author = {Ultes, Stefan and
Dikme, H{\"u}seyin and
Minker, Wolfgang},
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/113_Paper.pdf",
pages = "246--251",
abstract = "While Spoken Dialogue Systems have gained in importance in recent years, most systems applied in the real world are still static and error-prone. To overcome this, the user is put into the focus of dialogue management. Hence, an approach for adapting the course of the dialogue to Interaction Quality, an objective variant of user satisfaction, is presented in this work. In general, rendering the dialogue adaptive to user satisfaction enables the dialogue system to improve the course of the dialogue and to handle problematic situations better. In this contribution, we present a pilot study of quality-adaptive dialogue. By selecting the confirmation strategy based on the current IQ value, the course of the dialogue is adapted in order to improve the overall user experience. In a user experiment comparing three different confirmation strategies in a train booking domain, the adaptive strategy performs successful and is among the two best rated strategies based on the overall user experience.",
}
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%0 Conference Proceedings
%T First Insight into Quality-Adaptive Dialogue
%A Ultes, Stefan
%A Dikme, Hüseyin
%A Minker, Wolfgang
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F ultes-etal-2014-first
%X While Spoken Dialogue Systems have gained in importance in recent years, most systems applied in the real world are still static and error-prone. To overcome this, the user is put into the focus of dialogue management. Hence, an approach for adapting the course of the dialogue to Interaction Quality, an objective variant of user satisfaction, is presented in this work. In general, rendering the dialogue adaptive to user satisfaction enables the dialogue system to improve the course of the dialogue and to handle problematic situations better. In this contribution, we present a pilot study of quality-adaptive dialogue. By selecting the confirmation strategy based on the current IQ value, the course of the dialogue is adapted in order to improve the overall user experience. In a user experiment comparing three different confirmation strategies in a train booking domain, the adaptive strategy performs successful and is among the two best rated strategies based on the overall user experience.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/113_Paper.pdf
%P 246-251
Markdown (Informal)
[First Insight into Quality-Adaptive Dialogue](http://www.lrec-conf.org/proceedings/lrec2014/pdf/113_Paper.pdf) (Ultes et al., LREC 2014)
ACL
- Stefan Ultes, Hüseyin Dikme, and Wolfgang Minker. 2014. First Insight into Quality-Adaptive Dialogue. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 246–251, Reykjavik, Iceland. European Language Resources Association (ELRA).