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        <title>Human Capital Visualization using Speech Amount during Meetings</title>
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    <name type="personal">
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            <namePart type="given">Frédéric</namePart>
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    <abstract>In recent years, many companies have recognized the importance of human resources and are investing in human capital to revitalize their organizations and enhance internal communication, thereby fostering innovation. However, conventional quantification methods have mainly focused on readily measurable indicators without addressing the fundamental role of conversations in human capital. This study focuses on routine meetings and proposes strategies to visualize human capital by analyzing speech amount during these meetings. We employ conversation visualization technology, which operates effectively, to quantify speech. We then measure differences in speech amount by attributes such as gender and job post, changes in speech amount depending on whether certain participants are present, and correlations between speech amount and continuous attributes. To verify the effectiveness of our proposed methods, we analyzed speech amounts by departmental affiliation during weekly meetings at small to medium enterprises.</abstract>
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%0 Conference Proceedings
%T Human Capital Visualization using Speech Amount during Meetings
%A Hashimoto, Ekai
%A Nagira, Kohei
%A Mizumoto, Takeshi
%A Shiramatsu, Shun
%Y Béchet, Frédéric
%Y Lefèvre, Fabrice
%Y Asher, Nicholas
%Y Kim, Seokhwan
%Y Merlin, Teva
%S Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue
%D 2025
%8 August
%I Association for Computational Linguistics
%C Avignon, France
%F hashimoto-etal-2025-human
%X In recent years, many companies have recognized the importance of human resources and are investing in human capital to revitalize their organizations and enhance internal communication, thereby fostering innovation. However, conventional quantification methods have mainly focused on readily measurable indicators without addressing the fundamental role of conversations in human capital. This study focuses on routine meetings and proposes strategies to visualize human capital by analyzing speech amount during these meetings. We employ conversation visualization technology, which operates effectively, to quantify speech. We then measure differences in speech amount by attributes such as gender and job post, changes in speech amount depending on whether certain participants are present, and correlations between speech amount and continuous attributes. To verify the effectiveness of our proposed methods, we analyzed speech amounts by departmental affiliation during weekly meetings at small to medium enterprises.
%U https://aclanthology.org/2025.sigdial-1.35/
%P 441-448

Markdown (Informal)

[Human Capital Visualization using Speech Amount during Meetings](https://aclanthology.org/2025.sigdial-1.35/) (Hashimoto et al., SIGDIAL 2025)

• Human Capital Visualization using Speech Amount during Meetings (Hashimoto et al., SIGDIAL 2025)

ACL

• Ekai Hashimoto, Kohei Nagira, Takeshi Mizumoto, and Shun Shiramatsu. 2025. Human Capital Visualization using Speech Amount during Meetings. In Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 441–448, Avignon, France. Association for Computational Linguistics.