CUED Publications database

First insight into quality-adaptive dialogue

Ultes, S and Dikme, H and Minker, W (2014) First insight into quality-adaptive dialogue. In: UNSPECIFIED pp. 246-251..

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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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: adaptive spoken dialogue system user satisfaction grounding user study
Subjects: UNSPECIFIED
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 20:02
Last Modified: 22 May 2018 08:05
DOI: