Emotional technologies can implement models to foster and maintain positive emotions in humans. This study explores the modeling process for people experiencing difficulties in controlling emotions, in relation to their well-being. Through quantitative analysis of 623 data samples using partial least squares structural equation modeling (PLS-SEM), the impact relationships in the research model were clarified. The results show a strong correlation among the variables: greater emotional intelligence allows for the mobilization of greater social support, which leads to significantly greater well-being. In addition, this research offers new perspectives and useful suggestions for other fields such as education, human-computer interactive technologies, and communication.
Emotional technologies can implement models to foster and maintain positive emotions in humans. This study explores the modeling process for people experiencing difficulties in controlling emotions, in relation to their well-being. Through quantitative analysis of 623 data samples using partial least squares structural equation modeling (PLS-SEM), the impact relationships in the research model were clarified. The results show a strong correlation among the variables: greater emotional intelligence allows for the mobilization of greater social support, which leads to significantly greater well-being. In addition, this research offers new perspectives and useful suggestions for other fields such as education, human-computer interactive technologies, and communication.
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