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Happiness Detected by the Emotion Cognition System Is Associated with Burnout in an Information Technology Products and Services Trading Company

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  • Yasumasa Otsuka

    (Faculty of Human Sciences, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo 1120012, Japan
    R & D Center for Working Persons’ Psychological Support, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo 1120012, Japan)

  • Yukiko Sagisaka

    (R & D Center for Working Persons’ Psychological Support, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo 1120012, Japan)

  • Junko Nakamura

    (R & D Center for Working Persons’ Psychological Support, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo 1120012, Japan)

  • Keiko Hara

    (R & D Center for Working Persons’ Psychological Support, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo 1120012, Japan)

  • Masaki Okada

    (Faculty of Human Sciences, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo 1120012, Japan
    R & D Center for Working Persons’ Psychological Support, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo 1120012, Japan)

  • Yuko Takeuchi

    (TEKWIND Co., Ltd., 3-19-11 Yushima, Bunkyo-ku, Tokyo 1130034, Japan)

  • Mizuki Tsuchiya

    (TEKWIND Co., Ltd., 3-19-11 Yushima, Bunkyo-ku, Tokyo 1130034, Japan)

  • Yutaka Monden

    (TEKWIND Co., Ltd., 3-19-11 Yushima, Bunkyo-ku, Tokyo 1130034, Japan)

Abstract

(1) Background: Although many previous studies have found an association between burnout and emotions, none have examined the association between emotions detected by an emotion cognition system and burnout. The purpose of this study is to examine the relationship between the emotions detected by the emotion cognition system and burnout among workers. We hypothesized that burnout survivors are less likely to express their emotions as facial expressions. (2) Methods: One hundred and forty-one workers at an Information Technology (IT) products and services trading company were asked to take facial images for three months when they started and left work and responded to a burnout questionnaire once a month. Microsoft Azure was used to detect their emotions. (3) Results: Hierarchical multiple regression analyses revealed that happiness in Period 1 was significantly and negatively associated with burnout at Time 2. This association was also observed after the various covariates were included. However, burnout at Time 3 was not significantly related to any emotions in Period 1. (4) Conclusions: Happiness, as detected by the emotion cognition system, was associated with burnout immediately afterward.

Suggested Citation

  • Yasumasa Otsuka & Yukiko Sagisaka & Junko Nakamura & Keiko Hara & Masaki Okada & Yuko Takeuchi & Mizuki Tsuchiya & Yutaka Monden, 2023. "Happiness Detected by the Emotion Cognition System Is Associated with Burnout in an Information Technology Products and Services Trading Company," IJERPH, MDPI, vol. 20(3), pages 1-10, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2212-:d:1047256
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    References listed on IDEAS

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    1. Denise Albieri Jodas Salvagioni & Francine Nesello Melanda & Arthur Eumann Mesas & Alberto Durán González & Flávia Lopes Gabani & Selma Maffei de Andrade, 2017. "Physical, psychological and occupational consequences of job burnout: A systematic review of prospective studies," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-29, October.
    2. Lena Werdecker & Tobias Esch, 2021. "Burnout, satisfaction and happiness among German general practitioners (GPs): A cross-sectional survey on health resources and stressors," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-19, June.
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