Posted: Nov 13, 2022
This study investigates the complex relationship between emotional labor and professional fulfillment among hospital nurses, employing a novel computational framework that integrates natural language processing, physiological monitoring, and longitudinal behavioral analysis. While emotional labor—the management of emotions to fulfill professional expectations—has been widely studied in healthcare contexts, our research introduces an unprecedented methodological approach by combining real-time emotional expression analysis with long-term career satisfaction metrics. We developed a multi-modal assessment system that captures both surface acting (displaying emotions not genuinely felt) and deep acting (modifying internal feelings to align with required emotions) through voice pattern analysis, facial expression recognition during patient interactions, and galvanic skin response monitoring. Our longitudinal study followed 347 hospital nurses across six medical centers over 18 months, collecting over 15,000 hours of interaction data and administering quarterly professional fulfillment assessments. The findings reveal a paradoxical relationship where moderate emotional labor correlates with increased professional fulfillment, while excessive emotional labor leads to accelerated burnout. We identified a critical threshold effect and developed a predictive model that can identify nurses at risk of emotional exhaustion with 87
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