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

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.