PACO - a Corpus to Analyze the Impact of Common Ground in Spontaneous Face-to-Face Interaction.

LREC(2020)

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摘要
PACO is a French audio-video conversational corpus made of 15 face-to-face dyadic interactions, lasting around 20 min each. This compared corpus has been created in order to explore the impact of the lack of personal common ground (Clark, 1996) on participants collaboration during conversation and specifically on their smile during topic transitions. We have constituted this conversational corpus PACO by replicating the experimental protocol of \"Cheese!\" (Priego-Valverde et al., 2018). The only difference that distinguishes these two corpora is the degree of CG of the interlocutors: in Cheese! interlocutors are friends, while in PACO they do not know each other. This experimental protocol allows to analyze how the participants are getting acquainted. This study brings two main contributions. First, the PACO conversational corpus enables to compare the impact of the interlocutors\u0027 common ground. Second, the semi-automatic smile annotation protocol allows to obtain reliable and reproducible smile annotations while reducing the annotation time by a factor 10.
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关键词
Common ground, spontaneous interaction, smile, automatic detection
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