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Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction

2017-08-01WS 2017Code Available0· sign in to hype

Guillaume Dubuisson Duplessis, Chlo{\'e} Clavel, L, Fr{\'e}d{\'e}ric ragin

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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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