Human Capital Visualization using Speech Amount during Meetings

TL;DR

This paper proposes a method to visualize human capital by analyzing speech amount during meetings, using conversation visualization technology to quantify and interpret speech patterns related to various attributes.

Contribution

It introduces a novel approach to quantify and visualize human capital through speech analysis during meetings, addressing limitations of traditional metrics.

Findings

Speech amount varies by gender and job post.

Presence of specific participants influences speech amount.

Correlations exist between speech amount and continuous attributes.

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.