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Reimagining Emotional Ergonomics through the Integration of Human Emotion and Artificial Intelligence for Sustainable Healthcare Wellbeing
Abstract
Combining emotional ergonomics and AI was a disruptive solution to improving the sustainability of healthcare by focusing on patient wellbeing and staff performance. Clinical decision-making, patient adherence, and professional performance are highly dependent on emotional states, which are usually not considered with the traditional healthcare system. AI-based affective computing can provide real-time identification and analysis of physiological, behavioral, and situational emotional cues to support adaptive interventions that can streamline the clinical processes and interactions between patients and staff. In this chapter, the theoretical background, methodological principles, and practical use of AI-driven emotional ergonomics are reviewed, and pilot implementations and case studies are discussed, which show that patient satisfaction, reduction of errors, and resilience in the workplace have been improved. Ethical aspects such as privacy of data, fairness in algorithms, and trust are considered to promote responsible use of emotion-sensitive technologies.
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