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

• Main Authors: Campano, Sabrina, Durand, Jessica, Clavel, Chloé
• Other Authors: Multimédia (MM), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom Paris (IMT)-Télécom Paris-Institut Mines-Télécom Paris (IMT)-Télécom Paris, Département Traitement du Signal et des Images (TSI), Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS), Télécom ParisTech-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS), Signal, Statistique et Apprentissage (S2A)
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2014
• Subjects: engagement; human-agent interaction; corpus analysis; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; Iceland
• Online Access: https://hal.telecom-paris.fr/hal-02412088

International audience 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.