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Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction

Abstract : This work aims at characterising verbal alignment processes for improving virtual agent communicative capabilities. We propose computationally inexpensive measures of verbal alignment based on expression repetition in dyadic textual dialogues. Using these measures, we present a contrastive study between Human-Human and Human-Agent dialogues on a negotiation task. We exhibit quantitative differences in the strength and orientation of verbal alignment showing the ability of our approach to characterise important aspects of verbal alignment.
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Contributor : Guillaume Dubuisson Duplessis Connect in order to contact the contributor
Submitted on : Monday, August 28, 2017 - 11:07:34 AM
Last modification on : Friday, October 15, 2021 - 1:40:08 PM


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  • HAL Id : hal-01577813, version 1


Guillaume Dubuisson Duplessis, Chloé Clavel, Frédéric Landragin. Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction. 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), Aug 2017, Saarbrücken, Germany. pp.71-81. ⟨hal-01577813⟩



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