@article{yang-etal-2026-k,
    title = "K-{MIND}: {K}orean Multimodal {IN}teraction Data for Dyadic Conversation Analysis",
    author = "Yang, Jae Hee  and
      Shin, Yuha  and
      Shin, Saim  and
      Kim, Je Woo  and
      Jang, Jin Yea",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    journal = "International Conference on Language Resources and Evaluation",
    volume = "main",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.715/",
    pages = "9105--9117",
    abstract = "We present the Korean Multimodal INteraction Data (K-MIND), a large-scale corpus of dyadic Korean dialogue that is designed to capture the multimodal richness of social interaction. The dataset includes 292 participants and 200 sets (935 clips) spanning 115 hours and 30 minutes, all aligned across verbal, paraverbal, and nonverbal modalities such as transcripts, acoustic features, and visual signals. For these modalities, we propose a comprehensive annotation scheme that enables nuanced yet consistent labeling of complex communicative behaviors, balancing theoretical soundness with practical feasibility. We further report analysis results of the corpus, including label distributions, within- and cross-layer analyses. These analyses illuminate the key properties of dyadic K-MIND and demonstrate its utility for advancing research in human{--}computer interaction as well as in interdisciplinary domains. To ensure continuous refinement, the corpus and framework are being validated in complementary studies and have been extended to triadic interactions (K-MIND Triadic) that model group dynamics, which will be included in upcoming releases."
}