Relationship between attributes of individual workers and concentration at work

Reo Sugino, Tanabe Shin-Ichi, Mikio Takahashi, Tomoko Tokumura, Kazuki Wada, Tomohiro Kuroki, Jun Nakagawa, Jun Shinoda, Takuma Shinoyama

Research output: Contribution to journalConference article

Abstract

Working environments are becoming far more diverse. For example, Activity-Based Working (ABW), a new style of working where workers choose their own work environment, is now attracting attention. An office that introduces ABW is comprised of various spaces, including open plan workspaces, corresponding to the ways of working. However, such an office may result in distraction. Therefore, it is necessary to identify the environmental factors that affect individual workers' concentration at work. This study aimed to ascertain the relationship between individual workers' attributes, such as the Big Five personality traits, personal control, and age, and the factors that distract them from their work. A questionnaire-based field survey was conducted at an office that partially adopted ABW to investigate the relationship between selection of seats and concentration at work. The results revealed different tendencies among workers for the type of work environment needed to concentrate according to their individual attributes. Additionally, it was suggested that the changing of seats lead to improved concentration at work, thus increasing productivity.

Original languageEnglish
Article number02050
JournalE3S Web of Conferences
Volume111
DOIs
Publication statusPublished - 2019 Aug 13
Event13th REHVA World Congress, CLIMA 2019 - Bucharest, Romania
Duration: 2019 May 262019 May 29

ASJC Scopus subject areas

  • Environmental Science(all)
  • Energy(all)
  • Earth and Planetary Sciences(all)

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    Sugino, R., Shin-Ichi, T., Takahashi, M., Tokumura, T., Wada, K., Kuroki, T., Nakagawa, J., Shinoda, J., & Shinoyama, T. (2019). Relationship between attributes of individual workers and concentration at work. E3S Web of Conferences, 111, [02050]. https://doi.org/10.1051/e3sconf/201911102050