<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="yang-etal-2026-k">
    <titleInfo>
        <title>K-MIND: Korean Multimodal INteraction Data for Dyadic Conversation Analysis</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Jae</namePart>
        <namePart type="given">Hee</namePart>
        <namePart type="family">Yang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Yuha</namePart>
        <namePart type="family">Shin</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Saim</namePart>
        <namePart type="family">Shin</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Je</namePart>
        <namePart type="given">Woo</namePart>
        <namePart type="family">Kim</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Jin</namePart>
        <namePart type="given">Yea</namePart>
        <namePart type="family">Jang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2026-05</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Fifteenth Language Resources and Evaluation Conference</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Stelios</namePart>
            <namePart type="family">Piperidis</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Núria</namePart>
            <namePart type="family">Bel</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Henk</namePart>
            <namePart type="family">van den Heuvel</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Nancy</namePart>
            <namePart type="family">Ide</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Simon</namePart>
            <namePart type="family">Krek</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Antonio</namePart>
            <namePart type="family">Toral</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>ELRA Language Resource Association</publisher>
            <place>
                <placeTerm type="text">Palma de Mallorca, Spain</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <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.</abstract>
    <identifier type="citekey">yang-etal-2026-k</identifier>
    <identifier type="doi">10.63317/3mz4q73vpu6q</identifier>
    <location>
        <url>https://aclanthology.org/2026.lrec-1.715/</url>
    </location>
    <part>
        <date>2026-05</date>
        <extent unit="page">
            <start>9105</start>
            <end>9117</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T K-MIND: Korean Multimodal INteraction Data for Dyadic Conversation Analysis
%A Yang, Jae Hee
%A Shin, Yuha
%A Shin, Saim
%A Kim, Je Woo
%A Jang, Jin Yea
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F yang-etal-2026-k
%X 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.
%R 10.63317/3mz4q73vpu6q
%U https://aclanthology.org/2026.lrec-1.715/
%U https://doi.org/10.63317/3mz4q73vpu6q
%P 9105-9117

Markdown (Informal)

[K-MIND: Korean Multimodal INteraction Data for Dyadic Conversation Analysis](https://aclanthology.org/2026.lrec-1.715/) (Yang et al., LREC 2026)

• K-MIND: Korean Multimodal INteraction Data for Dyadic Conversation Analysis (Yang et al., LREC 2026)

ACL

• Jae Hee Yang, Yuha Shin, Saim Shin, Je Woo Kim, and Jin Yea Jang. 2026. K-MIND: Korean Multimodal INteraction Data for Dyadic Conversation Analysis. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 9105–9117, Palma de Mallorca, Spain. ELRA Language Resource Association.