Psychosocial Digital Twins: Soft Computing Models for Worker Emotion, Stress, and Human Behavior in Smart Factories
Abstract:
As industries move toward adaptive and human-centric automation, understanding the emotional and behavioral states of workers has become critical for both safety and performance. This keynote introduces Psychosocial Digital Twins (PDTs), virtual models that replicate not only physical processes but also human stress, mood, fatigue, and decision behavior. Using soft computing techniques such as fuzzy logic, neuro-fuzzy inference, and fuzzy cognitive maps, PDTs help interpret ambiguous psycho-physiological data and model worker states under uncertainty. The talk presents a practical and forward-looking roadmap for integrating psychosocial modeling into IoT-enabled smart factories, enabling organizations to create emotionally aware, ethically aligned, and resilient Industry 5.0 ecosystems.
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