Human Capital Visualization using Speech Amount during Meetings
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866909720563941376 |
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| author | Hashimoto, Ekai Mizumoto, Takeshi Nagira, Kohei Shiramatsu, Shun |
| author_facet | Hashimoto, Ekai Mizumoto, Takeshi Nagira, Kohei Shiramatsu, Shun |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_02075 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Human Capital Visualization using Speech Amount during Meetings Hashimoto, Ekai Mizumoto, Takeshi Nagira, Kohei Shiramatsu, Shun Human-Computer Interaction Computation and Language Computers and Society 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. |
| title | Human Capital Visualization using Speech Amount during Meetings |
| topic | Human-Computer Interaction Computation and Language Computers and Society |
| url | https://arxiv.org/abs/2508.02075 |