Abstract
In recent years, several studies have been conducted to estimate and quantify speaker intimacy based on information obtained from dialogue to improve the usability of dialogue systems. These studies have identified linguistic features (e.g., the presence or absence of honorifics) that contribute to estimating speaker intimacy. However, because these features can only superficially recognize intimacy, intimacy estimation based solely on these features may be less robust. Therefore, this study searched for features that could capture speaker intimacy without being limited by factors such as speaker attributes. In particular, we focused on topic continuity based on the similarity of topics between utterances rather than on-topic content. The results suggest that these features contribute to the estimation of speaker intimacy.
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Miura, T., Kanai, H. (2023). Preliminary Study on Speaker Intimacy Focusing on Topic Continuity. In: Takada, H., Marutschke, D.M., Alvarez, C., Inoue, T., Hayashi, Y., Hernandez-Leo, D. (eds) Collaboration Technologies and Social Computing. CollabTech 2023. Lecture Notes in Computer Science, vol 14199. Springer, Cham. https://doi.org/10.1007/978-3-031-42141-9_17
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DOI: https://doi.org/10.1007/978-3-031-42141-9_17
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