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Comparative Analysis of verbal alignment in human-human and human-agent interactions

Sabrina Campano 1, 2 Jessica Durand 3 Chloé Clavel 4, 2
1 MM - Multimédia
LTCI - Laboratoire Traitement et Communication de l'Information
2 TSI - Département Traitement du Signal et des Images
3 LTCI - Laboratoire Traitement et Communication de l'Information
4 S2A - Signal, Statistique et Apprentissage
LTCI - Laboratoire Traitement et Communication de l'Information
Abstract : Engagement is an important feature in human-human and human-agent interaction. In this paper, we investigate lexical alignment as a cue of engagement, relying on two different corpora : CID and SEMAINE. Our final goal is to build a virtual conversational character that could use alignment strategies to maintain user's engagement. To do so, we investigate two alignment processes : shared vocabulary and other-repetitions. A quantitative and qualitative approach is proposed to characterize these aspects in human-human (CID) and human-operator (SEMAINE) interactions. Our results show that these processes are observable in both corpora, indicating a stable pattern that can be further modelled in conversational agents.
Keywords : engagement human-agent interaction corpus analysis
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Conference papers
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https://hal.telecom-paris.fr/hal-02412088
Contributor : Telecomparis Hal <>
Submitted on : Sunday, December 15, 2019 - 12:44:56 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:55 PM

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  • HAL Id : hal-02412088, version 1

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Sabrina Campano, Jessica Durand, Chloé Clavel. Comparative Analysis of verbal alignment in human-human and human-agent interactions. Language Resources and Evaluation Conference, Oct 2014, Reykjavik, Iceland. pp.4415-4422. ⟨hal-02412088⟩

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