Master Thesis

This master’s thesis explores the growing importance of employee well-being and examines how Artificial Intelligence (AI) can improve emotional well-being in the workplace. It investigates the financial and human costs of poor mental health in organizations and highlights the need for emotional resilience strategies, coping training, and supportive environments.

A key focus of the research is Emotion AI—a branch of AI designed to detect and analyze human emotions. The thesis explores how Emotion AI can offer companies real-time insights into employee emotions, enabling personalized interventions to enhance well-being.

Ethical considerations are central to the study, emphasizing the need for transparency, privacy protection, and responsible use of AI technologies in the workplace. The thesis ultimately envisions a future where Emotion AI plays a pivotal role in fostering healthier, more engaged, and emotionally sustainable work environments.