Engineering Approach to Explore Language Reflecting Well-Being

Authors

  • Kazuhiro Ito Nara Institute of Science and Technology
  • Junko Hayashi Nara Institute of Science and Technology
  • Shoko Wakamiya Nara Institute of Science and Technology
  • Masae Manabe Nara Institute of Science and Technology
  • Yasushi Watanabe Kyoto University
  • Masataka Nakayama Kyoto University
  • Yukiko Uchida Kyoto University
  • Eiji Aramaki Nara Institute of Science and Technology

DOI:

https://doi.org/10.1609/aaaiss.v3i1.31235

Keywords:

Impact of GenAI on Social and Individual Well-being

Abstract

Although well-being is helpful in measuring the state of society from various perspectives, past research has been limited to (1) questionnaire surveys, which make it difficult to target a large number of people, and (2) the major indices focus on individual factors and do not incorporate group factors. To tackle these issues, we collected daily reports from the company employees that included text, their individual subjective well-being, and team subjective well-being. By using the collected data, we constructed a well-being estimation model based on the Large Language Model and examined an indicator called ``sharedness index'', as a state of the team that influences an individual well-being, measured using both score- and text-based methods.

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Published

2024-05-20

Issue

Section

Impact of GenAI on Social and Individual Well-being