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. 2023 Jan 26;20(3):2212.
doi: 10.3390/ijerph20032212.

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

Yasumasa Otsuka  1   2 , Yukiko Sagisaka  2 , Junko Nakamura  2 , Keiko Hara  2 , Masaki Okada  1   2 , Yuko Takeuchi  3 , Mizuki Tsuchiya  3 , Yutaka Monden  3
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Happiness Detected by the Emotion Cognition System Is Associated with Burnout in an Information Technology Products and Services Trading Company

Yasumasa Otsuka et al. Int J Environ Res Public Health. .

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.

Keywords: burnout; emotion; emotion cognition system; happiness; worker.

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Conflict of interest statement

Y.O., Y.S., J.N., K.H. and M.O. have received research funds from TEKWIND Co., Ltd. as joint research expenses, whose total amount received per year was JPY 2.2 million. The funders had no role in the design of the study, analyses, interpretation of data, or in the decision to publish the results.

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This research was funded by TEKWIND Co., Ltd. (CRI03081).

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